AWS Azure Google Cloud Certifications Testimonials and Dumps

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AWS Azure Google Cloud Certifications Testimonials and Dumps

Do you want to become a Professional DevOps Engineer, a cloud Solutions Architect, a Cloud Engineer or a modern Developer or IT Professional, a versatile Product Manager, a hip Project Manager? Therefore Cloud skills and certifications can be just the thing you need to make the move into cloud or to level up and advance your career.

85% of hiring managers say cloud certifications make a candidate more attractive.

Build the skills that’ll drive your career into six figures.

In this blog, we are going to feed you with AWS Azure and GCP Cloud Certification testimonials and Frequently Asked Questions and Answers Dumps.
AWS Azure Google Cloud Certifications Testimonials and Dumps
AWS Developer Associates DVA-C01 PRO


AWS Cloud Practitioner CCP CLF-C01 Certification Exam Prep

Went through the entire CloudAcademy course. Most of the info went out the other ear. Got a 67% on their final exam. Took the ExamPro free exam, got 69%.

Was going to take it last Saturday, but I bought TutorialDojo’s exams on Udemy. Did one Friday night, got a 50% and rescheduled it a week later to today Sunday.

Took 4 total TD exams. Got a 50%, 54%, 67%, and 64%. Even up until last night I hated the TD exams with a passion, I thought they were covering way too much stuff that didn’t even pop up in study guides I read. Their wording for some problems were also atrocious. But looking back, the bulk of my “studying” was going through their pretty well written explanations, and their links to the white papers allowed me to know what and where to read.

Not sure what score I got yet on the exam. As someone who always hated testing, I’m pretty proud of myself. I also had to take a dump really bad starting at around question 25. Thanks to TutorialsDojo Jon Bonso for completely destroying my confidence before the exam, forcing me to up my game. It’s better to walk in way over prepared than underprepared.

Just Passed My CCP exam today (within 2 weeks)

I would like to thank this community for recommendations about exam preparation. It was wayyyy easier than I expected (also way easier than TD practice exams scenario-based questions-a lot less wordy on real exam). I felt so unready before the exam that I rescheduled the exam twice. Quick tip: if you have limited time to prepare for this exam, I would recommend scheduling the exam beforehand so that you don’t procrastinate fully.


-Stephane’s course on Udemy (I have seen people saying to skip hands-on videos but I found them extremely helpful to understand most of the concepts-so try to not skip those hands-on)

-Tutorials Dojo practice exams (I did only 3.5 practice tests out of 5 and already got 8-10 EXACTLY worded questions on my real exam)

Previous Aws knowledge:

-Very little to no experience (deployed my group’s app to cloud via Elastic beanstalk in college-had 0 clue at the time about what I was doing-had clear guidelines)

Preparation duration: -2 weeks (honestly watched videos for 12 days and then went over summary and practice tests on the last two days)

Links to resources:

I used Stephane Maarek on Udemy. Purchased his course and the 6 Practice Exams. Also got Neal Davis’ 500 practice questions on Udemy. I took Stephane’s class over 2 days, then spent the next 2 weeks going over the tests (3~4 per day) till I was constantly getting over 80% – passed my exam with a 882.

Passed – CCP CLF-C01


What an adventure, I’ve never really gieven though to getting a cert until one day it just dawned on me that it’s one of the few resources that are globally accepted. So you can approach any company and basically prove you know what’s up on AWS 😀

AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence (OpenAI, ChatGPT, Google Gemini, Generative AI, Discriminative AI, xAI, LLMs, GPUs, Machine Learning, NLP, Promp Engineering)

Passed with two weeks of prep (after work and weekends)

Resources Used:


    • This was just a nice structured presentation that also gives you the powerpoint slides plus cheatsheets and a nice overview of what is said in each video lecture.

  • Udemy – AWS Certified Cloud Practitioner Practice Exams, created by Jon Bonso**, Tutorials Dojo**

    • These are some good prep exams, they ask the questions in a way that actually make you think about the related AWS Service. With only a few “Bullshit! That was asked in a confusing way” questions that popped up.

Pass AWS CCP. The score is beyond expected

I took CCP 2 days ago and got the pass notification right after submitting the answers. In about the next 3 hours I got an email from Credly for the badge. This morning I got an official email from AWS congratulating me on passing, the score is much higher than I expected. I took Stephane Maarek’s CCP course and his 6 demo exams, then Neal Davis’ 500 questions also. On all the demo exams, I took 1 fail and all passes with about 700-800. But in the real exam, I got 860. The questions in the real exam are kind of less verbose IMO, but I don’t truly agree with some people I see on this sub saying that they are easier.
Just a little bit of sharing, now I’ll find something to continue ^^

Good luck with your own exams.

Passed the exam! Spent 25 minutes answering all the questions. Another 10 to review. I might come back and update this post with my actual score.


– A year of experience working with AWS (e.g., EC2, Elastic Beanstalk, Route 53, and Amplify).

– Cloud development on AWS is not my strong suit. I just Google everything, so my knowledge is very spotty. Less so now since I studied for this exam.

Study stats

– Spent three weeks studying for the exam.

– Studied an hour to two every day.

– Solved 800-1000 practice questions.

– Took 450 screenshots of practice questions and technology/service descriptions as reference notes to quickly swift through on my phone and computer for review. Screenshots were of questions that I either didn’t know, knew but was iffy on, or those I believed I’d easily forget.

– Made 15-20 pages of notes. Chill. Nothing crazy. This is on A4 paper. Free-form note taking. With big diagrams. Around 60-80 words per page.

– I was getting low-to-mid 70%s on Neal Davis’s and Stephane Maarek’s practice exams. Highest score I got was an 80%.

– I got a 67(?)% on one of Stephane Maarek’s exams. The only sub-70% I ever got on any practice test. I got slightly anxious. But given how much harder Maarek’s exams are compared to the actual exam, the anxiety was undue.

– Finishing the practice exams on time was never a problem for me. I would finish all of them comfortably within 35 minutes.

Resources used

– AWS Cloud Practitioner Essentials on the AWS Training and Certification Portal

– AWS Certified Cloud Practitioner Practice Tests (Book) by Neal Davis

– 6 Practice Exams | AWS Certified Cloud Practitioner CLF-C01 by Stephane Maarek*

– Certified Cloud Practitioner Course by Exam Pro (Paid Version)**

– One or two free practice exams found by a quick Google search

*Regarding Exam Pro: I went through about 40% of the video lectures. I went through all the videos in the first few sections but felt that watching the lectures was too slow and laborious even at 1.5-2x speed. (The creator, for the most part, reads off of the slides, adding brief comments here and there.) So, I decided to only watch the video lectures for sections I didn’t have a good grasp on. (I believe the video lectures provided in the course are just split versions of the full length course available for free on YouTube under the freeCodeCamp channel, here.) The online course provides five practice exams. I did not take any of them.

**Regarding Stephane Maarek: I only took his practice exams. I did not take his study guide course.


– My study regimen (i.e., an hour to two every day for three weeks) was overkill.

– The questions on the practice exams created by Neal Davis and Stephane Maarek were significantly harder than those on the actual exam. I believe I could’ve passed without touching any of these resources.

– I retook one or two practice exams out of the 10+ I’ve taken. I don’t think there’s a need to retake the exams as long as you are diligent about studying the questions and underlying concepts you got wrong. I reviewed all the questions I missed on every practice exam the day before.

Ace the Microsoft Azure Fundamentals AZ-900 Certification Exam: Pass the Azure Fundamentals Exam with Ease

What would I do differently?

– Focus on practice tests only. No video lectures.

– Focus on the technologies domain. You can intuit your way through questions in the other domains.

– Chill

What are the Top 100 AWS jobs you can get with an AWS certification in 2022 plus AWS Interview Questions
AWS SAA-C02 SAA-C03 Exam Prep

Just passed SAA-C03, thoughts on it

  • Lots of the comments here about networking / VPC questions being prevalent are true. Also so many damn Aurora questions, it was like a presales chat.

  • The questions are actually quite detailed; as some had already mentioned. So pay close attention to the minute details Some questions you definitely have to flag for re-review.

  • It is by far harder than the Developer Associate exam, despite it having a broader scope. The DVA-C02 exam was like doing a speedrun but this felt like finishing off Sigrun on GoW. Ya gotta take your time.

I took the TJ practice exams. It somewhat helped, but having intimate knowledge of VPC and DB concepts would help more.

Passed SAA-C03 – Feedback

Just passed the SAA-C03 exam (864) and wanted to provide some feedback since that was helpful for me when I was browsing here before the exam.

I come from an IT background and have a strong knowledge in the VPC portion so that section was a breeze for me in the preparation process (I had never used AWS before this so everything else was new, but the concepts were somewhat familiar considering my background). I started my preparation about a month ago, and used the Mareek class on Udemy. Once I finished the class and reviewed my notes I moved to Mareek’s 6 practice exams (on Udemy). I wasn’t doing extremely well on the PEs (I passed on 4/6 of the exams with 70s grades) I reviewed the exam questions after each exam and moved on to the next. I also purchased Tutorial Dojo’s 6 exams set but only ended up taking one out of 6 (which I passed).

Overall the practice exams ended up being a lot harder than the real exam which had mostly the regular/base topics: a LOT of S3 stuff and storage in general, a decent amount of migration questions, only a couple questions on VPCs and no ML/AI stuff.

My Study Guide for passing the SAA-C03 exam

Sharing the study guide that I followed when I prepared for the AWS Certified Solutions Architect Associate SAA-C03 exam. I passed this test and thought of sharing a real exam experience in taking this challenging test.

First off: my background – I have 8 years of development.experience and been doing AWS for several project, both personally and at work. Studied for a total of 2 months. Focused on the official Exam Guide, and carefully studied the Task Statements and related AWS services.

SAA-C03 Exam Prep

For my exam prep, I bought the adrian cantrill video coursetutorialsdojo (TD) video course and practice exams. Adrian’s course is just right and highly educational but like others has said, the content is long and cover more than just the exam. Did all of the hands-on labs too and played around some machine learning services in my AWS account.

If you are looking for an all-in-one solution to help you prepare for the AWS Cloud Practitioner Certification Exam, look no further than this AWS Cloud Practitioner CCP CLF-C02 book

TD video course is short and a good overall summary of the topics items you’ve just learned. One TD lesson covers multiple topics so the content is highly concise. After I completed doing Adrian’s video course, I used TD’s video course as a refresher, did a couple of their hands-on labs then head on to their practice exams.

For the TD practice exams, I took the exam in chronologically and didn’t jumped back and forth until I completed all tests. I first tried all of the 7 timed-mode tests, and review every wrong ones I got on every attempt., then the 6 review-mode tests and the section/topic-based tests. I took the final-test mode roughly 3 times and this is by far one of the helpful feature of the website IMO. The final-test mode generates a unique set from all TD question bank, so every attempt is challenging for me. I also noticed that the course progress doesn’t move if I failed a specific test, so I used to retake the test that I failed.

The Actual SAA-C03 Exam

The actual AWS exam is almost the same with the ones in the TD tests where:

  • All of the questions are scenario-based

  • There are two (or more) valid solutions in the question, e.g:

    • Need SSL: options are ACM and self-signed URL

    • Need to store DB credentials: options are SSM Parameter Store and Secrets Manager

  • The scenarios are long-winded and asks for:

    • MOST Operationally efficient solution

    • MOST cost-effective

    • LEAST amount overhead

Overall, I enjoyed the exam and felt fully prepared while taking the test, thanks to Adrian and TD, but it doesn’t mean the whole darn thing is easy. You really need to put some elbow grease and keep your head lights on when preparing for this exam. Good luck to all and I hope my study guide helped out anyone who is struggling.

Another Passed SAA-C03?

Just another thread about passing the general exam? I passed SAA-C03 yesterday, would like to share my experience on how I earned the examination.


– graduate with networking background

– working experience on on-premise infrastructure automation, mainly using ansible, python, zabbix and etc.

– cloud experience, short period like 3-6 months with practice

– provisioned cloud application using terraform in azure and aws

Course that I used fully:

– AWS Certified Solutions Architect – Associate (SAA-C03) | learn.cantri (

– AWS Certified Solutions Architect Associate Exam – SAA-C03 Study Path (

Course that I used partially or little:

– Ultimate AWS Certified Solutions Architect Associate (SAA) | Udemy

– Practice Exams | AWS Certified Solutions Architect Associate | Udemy

Lab that I used:

– Free tier account with cantrill instruction

– Acloudguru lab and sandbox

– Percepio lab

Comment on course:

cantrill course is depth and lot of practical knowledge, like email alias and etc.. check in to know more

tutorialdojo practice exam help me filter the answer and guide me on correct answer. If I am wrong in specific topic, I rewatch cantrill video. However, there is some topics that not covered by cantrill but the guideline/review in practice exam will provide pretty much detail. I did all the other mode before the timed-based, after that get average 850 in timed-based exam, while scoring the final practice exam with 63/65. However, real examination is harder compared to practice exam in my opinion.

udemy course and practice exam, I go through some of them but I think the practice exam is quite hard compared to tutorialdojo.

lab – just get hand dirty and they will make your knowledge deep dive in your brain, my advice is try not only to do copy and paste lab but really read the description for each parameter in aws portal


you need to know some general exam topics like how to:

– s3 private access

– ec2 availability

– kinesis product including firehose, data stream, blabla

– iam

My next target will be AWS SAP and CKA, still searching suitable material for AWS SAP but proposed mainly using acloudguru sandbox and homelab to learn the subject, practice with acantrill lab in github.

Good luck anyone!

Passed SAA

I wanted to give my personal experience. I have a background in IT, but I have never worked in AWS previous to 5 weeks ago. I got my Cloud Practitioner in a week and SAA after another 4 weeks of studying (2-4 hours a day). I used Cantril’s Course and Tutorials Dojo Practice Exams. I highly, highly recommend this combo. I don’t think I would have passed without the practice exams, as they are quite difficult. In my opinion, they are much more difficult than the actual exam. They really hit the mark on what kind of content you will see. I got a 777, and that’s with getting 70-80%’s on the practice exams. I probably could have done better, but I had a really rough night of sleep and I came down with a cold. I was really on the struggle bus halfway through the test.

I only had a couple of questions on ML / AI, so make sure you know the differences between them all. Lot’s of S3 and EC2. You really need to know these in and out.

My company is offering stipend’s for each certification, so I’m going straight to developer next.

Recently passed SAA-C03

Just passed my SAA-C03 yesterday with 961 points. My first time doing AWS certification. I used Cantrill’s course. Went through the course materials twice, and took around 6 months to study, but that’s mostly due to my busy schedule. I found his materials very detailed and probably go beyond what you’d need for the actual exam.

I also used Stephane’s practice exams on Udemy. I’d say it’s instrumental in my passing doing these to get used to the type of questions in the actual exams and review missing knowledge. Would not have passed otherwise.

Just a heads-up, there are a few things popped up that I did not see in the course materials or practice exams:

* Lake Formation: question about pooling data from RDS and S3, as well as controlling access.

* S3 Requester Pays: question about minimizing S3 data cost when sharing with a partner.

* Pinpoint journey: question about customer replying to SMS sent-out and then storing their feedback.

Not sure if they are graded or Amazon testing out new parts.


Another SAP-C01-Pass

Received my notification this morning that I passed 811.

Prep Time: 10 weeks 2hrs a day

Materials: Neil Davis videos/practice exam Jon Bonso practice exams White papers Misc YouTube videos Some hands on

Prof Experience: 4 years AWS using main services as architect


Thoughts: Exam was way more familiar to me than the Developer Exam. I use very little AWS developer tools but mainly use core AWS services. Neil’s videos were very straightforward, easy to digest, and on point. I was able to watch most of the videos on a plane flight to Vegas.

After video series I started to hit his section based exams, main exam, notes, and followed up with some hands on. I was getting destroyed on some of the exams early on and had to rewatch and research the topics, writing notes. There is a lot of nuance and fine details on the topics, you’ll see this when you take the practice exam. These little details matter.

Bonso’s exam were nothing less than awesome as per usual. Same difficulty and quality as Neil Davis. Followed the same routine with section based followed by final exam. I believe Neil said to aim for 80’s on his final exams to sit for the exam. I’d agree because that’s where I was hitting a week before the exam (mid 80’s). Both Neil and Jon exams were on par with exam difficulty if not a shade more difficult.

The exam itself was very straightforward. My experience is the questions were not overly verbose and were straight to the point as compared to the practice exams I took. I was able to quickly narrow down the questions and make a selection. Flagged 8 questions along the way and had 30min to review all my answers. Unlike some people, I didn’t feel like it was a brain melter and actually enjoyed the challenge. Maybe I’m a sadist who knows.

Advice: Follow Neil’s plan, bone up on weak areas and be confident. These questions have a pattern based upon the domain. Doing the practice exams enough will allow you to see the pattern and then research will confirm your suspicions. You can pass this exam!

Good luck to those preparing now and god speed.

AWS Developer Associate DVA-C01 Exam Prep

I Passed AWS Developer Associate Certification DVA-C01 Testimonials

AWS Developer and Deployment Theory: Facts and Summaries and Questions/Answers
AWS Developer Associate DVA-C01 Exam Prep

Passed DVA-C01

Passed the certified developer associate this week.

Primary study was Stephane Maarek’s course on Udemy.

I also used the Practice Exams by Stephane Maarek and Abhishek Singh.

I used Stephane’s course and practice exams for the Solutions Architect Associate as well, and find his course does a good job preparing you to pass the exams.

The practice exams were more challenging than the actual exam, so they are a good gauge to see if you are ready for the exam.

Haven’t decided if I’ll do another associate level certification next or try for the solutions architect professional.

Cleared AWS Certified Developer – Associate (DVA-C01)


I cleared Developer associate exam yesterday. I scored 873.
Actual Exam Exp: More questions were focused on mainly on Lambda, API, Dynamodb, cloudfront, cognito(must know proper difference between user pool and identity pool)
3 questions I found were just for redis vs memecached (so maybe you can focus more here also to know exact use case& difference.) other topic were cloudformation, beanstalk, sts, ec2. Exam was mix of too easy and too tough for me. some questions were one liner and somewhere too long.

Resources: The main resources I used was udemy. Course of Stéphane Maarek and practice exams of Neal Davis and Stéphane Maarek. These exams proved really good and they even helped me in focusing the area which I lacked. And they are up to the level to actual exam, I found 3-4 exact same questions in actual exam(This might be just luck ! ). so I feel, the course of stephane is more than sufficient and you can trust it. I have achieved solution architect associate previously so I knew basic things, so I took around 2 weeks for preparation and revised the Stephen’s course as much as possible. Parallelly I gave the mentioned exams as well, which guided me where to focus more.

Thanks to all of you and feel free to comment/DM me, if you think I can help you in anyway for achieving the same.

Another Passed Associate Developer Exam (DVA-C01)

Already had passed the Associate Architect Exam (SA-C03) 3 months ago, so I got much more relaxed to the exam, I did the exam with Pearson Vue at home with no problems. Used Adrian Cantrill for the course together with the TD exams.

Studied 2 weeks a 1-2 hours since there is a big overlap with the associate architect couse, even tho the exam has a different approach, more focused on the Serverless side of AWS. Lots of DynamoDB, Lambda, API Gateway, KMS, CloudFormation, SAM, SSO, Cognito (User Pool and Identity Pool), and IAM role/credentials best practices.

I do think in terms of difficulty it was a bit easier than the Associate Architect, maybe it is made up on my mind as it was my second exam so I went in a bit more relaxed.

Next step is going for the Associate Sys-Ops, I will use Adrian Cantrill and Stephane Mareek courses as it is been said that its the most difficult associate exam.

Passed the SCS-C01 Security Specialty 

Passed the SCS-C01 Security Specialty
Passed the SCS-C01 Security Specialty

Mixture of Tutorial Dojo practice exams, A Cloud Guru course, Neal Davis course & exams helped a lot. Some unexpected questions caught me off guard but with educated guessing, due to the material I studied I was able to overcome them. It’s important to understand:

  1. KMS Keys

    1. AWS Owned Keys

    2. AWS Managed KMS keys

    3. Customer Managed Keys

    4. asymmetrical

    5. symmetrical

    6. Imported key material

    7. What services can use AWS Managed Keys

  2. KMS Rotation Policies

    1. Depending on the key matters the rotation that can be applied (if possible)

  3. Key Policies

    1. Grants (temporary access)

    2. Cross-account grants

    3. Permanent Policys

    4. How permissions are distributed depending on the assigned principle

  4. IAM Policy format

    1. Principles (supported principles)

    2. Conditions

    3. Actions

    4. Allow to a service (ARN or public AWS URL)

    5. Roles

  5. Secrets Management

    1. Credential Rotation

    2. Secure String types

    3. Parameter Store

    4. AWS Secrets Manager

  6. Route 53

    1. DNSSEC

    2. DNS Logging

  7. Network

    1. AWS Network Firewall

    2. AWS WAF (some questions try to trick you into thinking AWS Shield is needed instead)

    3. AWS Shield

    4. Security Groups (Stateful)

    5. NACL (Stateless)

    6. Ephemeral Ports

    7. VPC FlowLogs

  8. AWS Config

    1. Rules

    2. Remediation (custom or AWS managed)

  9. AWS CloudTrail

    1. AWS Organization Trails

    2. Multi-Region Trails

    3. Centralized S3 Bucket for multi-account log aggregation

  10. AWS GuardDuty vs AWS Macie vs AWS Inspector vs AWS Detective vs AWS Security Hub

It gets more in depth, I’m willing to help anyone out that has questions. If you don’t mind joining my Discord to discuss amongst others to help each other out will be great. A study group community. Thanks. I had to repost because of a typo 🙁

Passed the Security Specialty

Passed Security Specialty yesterday.

Resources used were:

Adrian (for the labs), Jon (For the Test Bank),

Total time spent studying was about a week due to the overlap with the SA Pro I passed a couple weeks ago.

Now working on getting Networking Specialty before the year ends.

My longer term goal is to have all the certs by end of next year.


Advanced Networking - Specialty

Advanced Networking – Specialty

Passed AWS Certified advanced networking – Specialty ANS-C01 2 days ago


This was a tough exam.

Here’s what I used to get prepped:

Exam guide book by Kam Agahian and group of authors – this just got released and has all you need in a concise manual, it also included 3 practice exams, this is a must buy for future reference and covers ALL current exam topics including container networking, SD-WAN etc.

Stephane Maarek’s Udemy course – it is mostly up-to-date with the main exam topics including TGW, network firewall etc. To the point lectures with lots of hands-on demos which gives you just what you need, highly recommended as well!

Tutorial Dojos practice tests to drive it home – this helped me get an idea of the question wording, so I could train myself to read fast, pick out key words, compare similar answers and build confidence in my knowledge.

Crammed daily for 4 weeks (after work, I have a full time job + family) and went in and nailed it. I do have networking background (15+ years) and I am currently working as a cloud security engineer and I’m working with AWS daily, especially EKS, TGW, GWLB etc.

For those not from a networking background – it would definitely take longer to prep.

Good luck!

Azure Fundamentals AZ900 Certification Exam Prep
Azure Fundamentals AZ900 Certification Exam Prep
#Azure #AzureFundamentals #AZ900 #AzureTraining #LeranAzure #Djamgatech


Passed AZ-900, SC-900, AI-900, and DP-900 within 6 weeks!

Achievement Celebration

What an exciting journey. I think AZ-900 is the hardest probably because it is my first Microsoft certification. Afterwards, the others are fair enough. AI-900 is the easiest.

I generally used Microsoft Virtual Training Day, Cloud Ready Skills, Measureup and John Savill’s videos. Having built a fundamental knowledge of the Cloud, I am planning to do AWS CCP next. Wish me luck!

Passed Azure Fundamentals

Learning Material

Hi all,

I passed my Azure fundamentals exam a couple of days ago, with a score of 900/1000. Been meaning to take the exam for a few months but I kept putting it off for various reasons. The exam was a lot easier than I thought and easier than the official Microsoft practice exams.

Study materials;

  • A Cloud Guru AZ-900 fundamentals course with practice exams

  • Official Microsoft practice exams

  • MS learning path

  • John Savill’s AZ-900 study cram, started this a day or two before my exam. (Highly Recommended)

Will be taking my AZ-104 exam next.

Azure Administrator AZ104 Certification Exam Prep
Azure Administrator AZ104 Certification Exam Prep

Passed AZ-104 with about a 6 weeks prep

Learning Material

Resources =

John Savill’s AZ-104 Exam Cram + Master Class Tutorials Dojo Practice Exams

John’s content is the best out there right now for this exam IMHO. I watched the cram, then the entire master class, followed by the cram again.

The Tutorials Dojo practice exams are essential. Some questions on the actual exam where almost word-for-word what I saw on the exam.


What’s everyone using for the AZ-305? Obviously, already using John’s content, and from what I’ve read the 305 isn’t too bad.


Passed the AZ-140 today!!

Achievement Celebration

I passed the (updated?) AZ-140, AVD specialty exam today with an 844. First MS certification in the bag!

Edited to add: This video series from Azure Academy was a TON of help.

Passed DP-900

Achievement Celebration

I am pretty proud of this one. Databases are an area of IT where I haven’t spent a lot of time, and what time I have spent has been with SQL or MySQL with old school relational databases. NoSQL was kinda breaking my brain for a while.

Study Materials:

  1. Microsoft Virtual Training Day, got the voucher for the free exam. I know several people on here said that was enough for them to pass the test, but that most certainly was not enough for me.

  2. DP-900 course and practice test. They include virtual flashcards which I really liked.

  3. practice tests. I also used the course to fill in gaps in my testing.

Passed AI-900! Tips & Resources Included!!

Azure AI Fundamentals AI-900 Exam Prep
Azure AI Fundamentals AI-900 Exam Prep
Achievement Celebration

Huge thanks to this subreddit for helping me kick start my Azure journey. I have over 2 decades of experience in IT and this is my 3rd Azure certification as I already have AZ-900 and DP-900.

Here’s the order in which I passed my AWS and Azure certifications:


I have no plans to take this certification now but had to as the free voucher is expiring in a couple of days. So I started preparing on Friday and took the exam on Sunday. But give it more time if you can.

Here’s my study plan for AZ-900 and DP-900 exams:

  • finish a popular video course aimed at the cert

  • watch John Savill’s study/exam cram

  • take multiple practice exams scoring in 90s

This is what I used for AI-900:

  • Alan Rodrigues’ video course (includes 2 practice exams) 👌

  • John Savill’s study cram 💪

  • practice exams by Scott Duffy and in 28Minutes Official 👍

  • knowledge checks in AI modules from MS learn docs 🙌

I also found the below notes to be extremely useful as a refresher. It can be played multiple times throughout your preparation as the exam cram part is just around 20 minutes. 👏

Just be clear on the topics explained by the above video and you’ll pass AI-900. I advise you to watch this video at the start, middle and end of your preparation. All the best in your exam

Just passed AZ-104

Achievement Celebration

I recommend to study networking as almost all of the questions are related to this topic. Also, AAD is a big one. Lots of load balancers, VNET, NSGs.

Received very little of this:

  • Containers

  • Storage

  • Monitoring

I passed with a 710 but a pass is a pass haha.

Used tutorial dojos but the closest questions I found where in the Udemy testing exams.


Passed GCP Professional Cloud Architect

Google Professional Cloud Architect Practice Exam 2022
Google Professional Cloud Architect Practice Exam 2022

First of all, I would like to start with the fact that I already have around 1 year of experience with GCP in depth, where I was working on GKE, IAM, storage and so on. I also obtained GCP Associate Cloud Engineer certification back in June as well, which helps with the preparation.

I started with Dan Sullivan’s Udemy course for Professional Cloud Architect and did some refresher on the topics I was not familiar with such as BigTable, BigQuery, DataFlow and all that. His videos on the case studies helps a lot to understand what each case study scenario requires for designing the best cost-effective architecture.

In order to understand the services in depth, I also went through the GCP documentation for each service at least once. It’s quite useful for knowing the syntax of the GCP commands and some miscellaneous information.

As for practice exam, I definitely recommend Whizlabs. It helped me prepare for the areas I was weak at and helped me grasp the topics a lot faster than reading through the documentation. It will also help you understand what kind of questions will appear for the exam.

I used TutorialsDojo (Jon Bonso) for preparation for Associate Cloud Engineer before and I can attest that Whizlabs is not that good. However, Whizlabs still helps a lot in tackling the tough questions that you will come across during the examination.

One thing to note is that, there wasn’t even a single question that was similar to the ones from Whizlabs practice tests. I am saying this from the perspective of the content of the questions. I got totally different scenarios for both case study and non case study questions. Many questions focused on App Engine, Data analytics and networking. There were some Kubernetes questions based on Anthos, and cluster networking. I got a tough question regarding storage as well.

I initially thought I would fail, but I pushed on and started tackling the multiple-choices based on process of elimination using the keywords in the questions. 50 questions in 2 hours is a tough one, especially due to the lengthy questions and multiple choices. I do not know how this compares to AWS Solutions Architect Professional exam in toughness. But some people do say GCP professional is tougher than AWS.

All in all, I still recommend this certification to people who are working with GCP. It’s a tough one to crack and could be useful for future prospects. It’s a bummer that it’s only valid for 2 years.

GCP Associate Cloud Engineer Exam Prep

Passed GCP: Cloud Digital Leader

Hi everyone,

First, thanks for all the posts people share. It helps me prep for my own exam. I passed the GCP: Cloud Digital Leader exam today and wanted to share a few things about my experience.


I have access to ACloudGuru (AGU)and Udemy through work. I started one of the Udemy courses first, but it was clear the course was going beyond the scope of the Cloud Digital Leader certification. I switched over AGU and enjoyed the content a lot more. The videos were short and the instructor hit all the topics on the Google exam requirements sheet.

AGU also has three – 50 question practices test. The practice tests are harder than the actual exam (and the practice tests aren’t that hard).

I don’t know if someone could pass the test if they just watched the videos on Google Cloud’s certification site, especially if you had no experience with GCP.

Overall, I would say I spent 20 hrs preparing for the exam. I have my CISSP and I’m working on my CCSP. After taking the test, I realized I way over prepared.

Exam Center

It was my first time at this testing center and I wasn’t happy with the experience. A few of the issues I had are:

– My personal items (phone, keys) were placed in an unlocked filing cabinet

– My desk are was dirty. There were eraser shreds (or something similar) and I had to move the keyboard and mouse and brush all the debris out of my work space

– The laminated sheet they gave me looked like someone had spilled Kool-Aid on it

– They only offered earplugs, instead of noise cancelling headphones


My recommendation for the exam is to know the Digital Transformation piece as well as you know all the GCP services and what they do.

I wish you all luck on your future exams. Onto GCP: Associate Cloud Engineer.

Passed the Google Cloud: Associate Cloud Engineer

Hey all, I was able to pass the Google Cloud: Associate Cloud Engineer exam in 27 days.

I studied about 3-5 hours every single day.

I created this note to share with the resources I used to pass the exam.

Happy studying!

GCP ACE Exam Aced

Hi folks,

I am glad to share with you that I have cleared by GCP ACE exam today and would like to share my preparation with you:

1)I completed these courses from Coursera:

1.1 Google Cloud Platform Fundamentals – Core Infrastructure

1.2 Essential Cloud Infrastructure: Foundation

1.3 Essential Cloud Infrastructure: Core Services

1.4 Elastic Google Cloud Infrastructure: Scaling and Automation

Post these courses, I did couple of QwikLab courses as listed in orderly manner:

2 Getting Started: Create and Manage Cloud Resources (Qwiklabs Quest)

   2.1 A Tour of Qwiklabs and Google Cloud

   2.2 Creating a Virtual Machine

   2.2 Compute Engine: Qwik Start – Windows

   2.3 Getting Started with Cloud Shell and gcloud

   2.4 Kubernetes Engine: Qwik Start

   2.5 Set Up Network and HTTP Load Balancers

   2.6 Create and Manage Cloud Resources: Challenge Lab

 3 Set up and Configure a Cloud Environment in Google Cloud (Qwiklabs Quest)

   3.1 Cloud IAM: Qwik Start

   3.2 Introduction to SQL for BigQuery and Cloud SQL

   3.3 Multiple VPC Networks

   3.4 Cloud Monitoring: Qwik Start

   3.5 Deployment Manager – Full Production [ACE]

   3.6 Managing Deployments Using Kubernetes Engine

   3.7 Set Up and Configure a Cloud Environment in Google Cloud: Challenge Lab

 4 Kubernetes in Google Cloud (Qwiklabs Quest)

   4.1 Introduction to Docker

   4.2 Kubernetes Engine: Qwik Start

   4.3 Orchestrating the Cloud with Kubernetes

   4.4 Managing Deployments Using Kubernetes Engine

   4.5 Continuous Delivery with Jenkins in Kubernetes Engine

Post these courses I did the following for mock exam preparation:

  1. Jon Bonso Tutorial Dojo -GCP ACE preparation

  2. Udemy course:

And yes folks this took me 3 months to prepare. So take your time and prepare it.

#djamgatech #aws #azure #gcp #ccp #az900 #saac02 #saac03 #az104 #azai #dasc01 #mlsc01 #scsc01 #azurefundamentals #awscloudpractitioner #solutionsarchitect #datascience #machinelearning #azuredevops #awsdevops #az305 #ai900 #DP900 #GCPACE

Comparison of AWS vs Azure vs Google

Cloud computing has revolutionized the way companies develop applications. Most of the modern applications are now cloud native. Undoubtedly, the cloud offers immense benefits like reduced infrastructure maintenance, increased availability, cost reduction, and many others.

However, which cloud vendor to choose, is a challenge in itself. If we look at the horizon of cloud computing, the three main providers that come to mind are AWS, Azure, and Google cloud. Today, we will compare the top three cloud giants and see how they differ. We will compare their services, specialty, and pros and cons. After reading this article, you will be able to decide which cloud vendor is best suited to your needs and why.

History and establishment


AWS is the oldest player in the market, operating since 2006. Here’s a brief history of AWS and how computing has changed. Being the first in the cloud industry, it has gained a particular advantage over its competitors. It offers more than 200+ services to its users. Some of its notable clients include:

  • Netflix
  • Expedia
  • Airbnb
  • Coursera
  • FDA
  • Coca Cola


Azure by Microsoft started in 2010. Although it started four years later than AWS, it is catching up quite fast. Azure is Microsoft’s public cloud platform which is why many companies prefer to use Azure for their Microsoft-based applications. It also offers more than 200 services and products. Some of its prominent clients include:

  • HP
  • Asus
  • Mitsubishi
  • 3M
  • Starbucks
  • CDC (Center of Disease Control) USA
  • National health service (NHS) UK


Google Cloud also started in 2010. Its arsenal of cloud services is relatively smaller compared to AWS or Azure. It offers around 100+ services. However, its services are robust, and many companies embrace Google cloud for its specialty services. Some of its noteworthy clients include:

  • PayPal
  • UPS
  • Toyota
  • Twitter
  • Spotify
  • Unilever

Market share & growth rate

If you look at the market share and growth chart below, you will notice that AWS has been leading for more than four years. Azure is also expanding fast, but it is still has a long way to go to catch up with AWS.

However, in terms of revenue, Azure is ahead of AWS. In Q1 2022, AWS revenue was $18.44 billion; Azure earned $23.4 billion, while Google cloud earned $5.8 billion.

Availability Zones (Data Centers)

When comparing cloud vendors, it is essential to see how many regions and availability zones are offered. Here is a quick comparison between all three cloud vendors in terms of regions and data centers:


AWS operates in 25 regions and 81 availability zones. It offers 218+ edge locations and 12 regional edge caches as well. You can utilize the edge location and edge caches in services like AWS Cloudfront and global accelerator, etc.


Azure has 66 regions worldwide and a minimum of three availability zones in each region. It also offers more than 116 edge locations.


Google has a presence in 27 regions and 82 availability zones. It also offers 146 edge locations.

Although all three cloud giants are continuously expanding. Both AWS and Azure offer data centers in China to specifically cater for Chinese consumers. At the same time, Azure seems to have broader coverage than its competitors.

Comparison of common cloud services

Let’s look at the standard cloud services offered by these vendors.


Amazon’s primary compute offering is EC2 instances, which are very easy to operate. Amazon also provides a low-cost option called “Amazon lightsail” which is a perfect fit for those who are new to computing and have a limited budget. AWS charges for EC2 instances only when you are using them. Azure’s compute offering is also based on virtual machines. Google is no different and offers virtual machines in Google’s data centers. Here’s a brief comparison of compute offerings of all three vendors:


All three vendors offer various forms of storage, including object-based storage, cold storage, file-based storage, and block-based storage. Here’s a brief comparison of all three:


All three vendors support managed services for databases. They also offer NoSQL as well as document-based databases. AWS also provides a proprietary RDBMS named “Aurora”, a highly scalable and fast database offering for both MySQL and PostGreSQL. Here’s a brief comparison of all three vendors:

Comparison of Specialized services

All three major cloud providers are competing with each other in the latest technologies. Some notable areas of competition include ML/AI, robotics, DevOps, IoT, VR/Gaming, etc. Here are some of the key specialties of all three vendors.


Being the first and only one in the cloud market has many benefits, and Amazon has certainly taken advantage of that. Amazon has advanced specifically in AI and machine learning related tools. AWS DeepLens is an AI-powered camera that you can use to develop and deploy machine learning algorithms. It helps you with OCR and image recognition. Similarly, Amazon has launched an open source library called “Gluon” which helps with deep learning and neural networks. You can use this library to learn how neural networks work, even if you lack any technical background. Another service that Amazon offers is SageMaker. You can use SageMaker to train and deploy your machine learning models. It contains the Lex conversational interface, which is the backbone of Alexa, Lambda, and Greengrass IoT messaging services.

Another unique (and recent) offering from AWS is IoT twinmaker. This service can create digital twins of real-world systems like factories, buildings, production lines, etc.

AWS is even providing a service for Quantum computing called AWS Braket.


Azure excels where you are already using some Microsoft products, especially on-premises Microsoft products. Organizations already using Microsoft products prefer to use Azure instead of other cloud vendors because Azure offers a better and more robust integration with Microsoft products.

Azure has excellent services related to ML/AI and cognitive services. Some notable services include Bing web search API, Face API, Computer vision API, text analytics API, etc.


Google is the current leader of all cloud providers regarding AI. This is because of their open-source Google library TensorFlow, the most popular library for developing machine learning applications. Vertex AI and BigQueryOmni are also beneficial services offered lately. Similarly, Google offers rich services for NLP, translation, speech, etc.

Pros and Cons

Let’s summarize the pros and cons for all three cloud vendors:



  • An extensive list of services
  • Huge market share
  • Support for large businesses
  • Global reach


  • Pricing model. Many companies struggle to understand the cost structure. Although AWS has improved the UX of its cost-related reporting in the AWS console, many companies still hesitate to use AWS because of a perceived lack of cost transparency



  • Excellent integration with Microsoft tools and software
  • Broader feature set
  • Support for open source


  • Geared towards enterprise customers



  • Strong integration with open source tools
  • Flexible contracts
  • Good DevOps services
  • The most cost-efficient
  • The preferred choice for startups
  • Good ML/AI-based services


  • A limited number of services as compared to AWS and Azure
  • Limited support for enterprise use cases

Career Prospects

Keen to learn which vendor’s cloud certification you should go for ? Here is a brief comparison of the top three cloud certifications and their related career prospects:


As mentioned earlier, AWS has the largest market share compared to other cloud vendors. That means more companies are using AWS, and there are more vacancies in the market for AWS-certified professionals. Here are main reasons why you would choose to learn AWS:


Azure is the second largest cloud service provider. It is ideal for companies that are already using Microsoft products. Here are the top reasons why you would choose to learn Azure:

  • Ideal for experienced user of Microsoft services
  • Azure certifications rank among the top paying IT certifications
  • If you’re applying for a company that primarily uses Microsoft Services


Although Google is considered an underdog in the cloud market, it is slowly catching up. Here’s why you may choose to learn GCP.

  • While there are fewer job postings, there is also less competition in the market
  • GCP certifications rank among the top paying IT certifications

Most valuable IT Certifications

Keen to learn about the top paying cloud certifications and jobs? If you look at the annual salary figures below, you can see the average salary for different cloud vendors and IT companies, no wonder AWS is on top. A GCP cloud architect is also one of the top five. The Azure architect comes at #9.

Which cloud certification to choose depends mainly on your career goals and what type of organization you want to work for. No cloud certification path is better than the other. What matters most is getting started and making progress towards your career goals. Even if you decide at a later point in time to switch to a different cloud provider, you’ll still benefit from what you previously learned.

Over time, you may decide to get certified in all three – so you can provide solutions that vary from one cloud service provider to the next.

Don’t get stuck in analysis-paralysis! If in doubt, simply get started with AWS certifications that are the most sought-after in the market – especially if you are at the very beginning of your cloud journey. The good news is that you can become an AWS expert when enrolling in our value-packed training.

Further Reading

You may also be interested in the following articles:


Get it on Apple Books
Get it on Apple Books

  • Modern SecOps Masterclass: Now Available on Coursera
    by (Training & Certifications) on July 18, 2024 at 4:00 pm

    Security practitioners constantly need to rethink and refine their approaches to defending their organization. Staying ahead requires innovation, continuous improvement, and a mindset shift away from siloed operations into building end-to-end solutions against threats.  Today, Google Cloud is excited to announce the launch of the Modern SecOps (MSO) course, a six-week, platform-agnostic education program designed to equip security professionals with the latest skills and knowledge to help modernize their security operations, based on our Autonomic Security Operations framework and Continuous Detection, Continuous Response (CD/CR) methodology.  Introducing Modern Security Operations Course The Modern Security Operations course provides a comprehensive curriculum that addresses the core challenges faced by today’s security operations teams, predominantly focused on improving people and processes. Developed in collaboration with ROI Training, Netenrich, and other leading industry experts, this course offers practical insights and hands-on experience to help organizations transform their Security Operations Centers (SOCs). To learn more about ROI Training and our Google Cloud courses, see their catalog here. To learn more about Netenrich and their approach towards Autonomic Security Operations, see their case studies here. "Autonomic Security is the guiding star for transforming Security Operations Centers, and we're thrilled to partner with Google Cloud to develop this course. Netenrich Adaptive MDR, built on the ASO framework, exemplifies our commitment to pioneering autonomic security solutions,” said Raju Chekuri, CEO, Netenrich. “By implementing ASO both internally and for our customers, we're turning the vision of autonomic security into reality." Course highlights The MSO course’s six-week curriculum focuses on:  Modernizing Cyber Threat management: Gain an understanding of the evolving cybersecurity landscape and the future of security operations. SecOps 101: Learn the fundamental concepts and components of Security Operations, including detection, triage, and incident response. Principles of Autonomic Security Operations: Discover how to apply lessons from DevOps and Site Reliability Engineering to SecOps. Continuous Detection and Continuous Response (CD/CR): Implement agile methodologies to reduce toil, improve threat management and response capabilities. Modern SecOps Maturity Discovery Tool: Use our MSO Discovery tool to benchmark your organization's maturity against the CD/CR methodology. This course is tailored for: Security Operations Analysts who want to enhance their threat detection and response skills. SOC managers who are eager to learn how to modernize and streamline their Security Operations Center. CISOs who are looking to gain strategic insights to transform their organization’s security operations. Participants in the course will gain access to a wealth of knowledge and practical tools that can help streamline security operations through automation; address and overcome technology and process challenges;and achieve significant improvements in operational efficiency and effectiveness. Complimenting your training with Google SecOps In the generative AI era, security teams require fully operational, high-performing solutions that drive productivity and empower defenders. Google Security Operations is a unified, intelligence-driven and AI-powered platform designed to simplify threat detection, investigation, and response.  Our platform can help reduce the complexity of SecOps and enhance the productivity of Security Operations Centers, and features innovations such as frontline Threat Intelligence, Gemini, Investigation Assistant, Playbook Assistant, and autonomous parsers. These advanced capabilities can enable security teams to uncover threats with less effort, streamline workflows, and also accelerate their journey towards modern SecOps. You can explore how our platform can help you realize these benefits faster here. Enroll today Take the first step towards transforming your security operations: Learn more and register for the Modern Security Operations course. aside_block <ListValue: [StructValue([('title', 'Modern Security Operations: Available on Coursera'), ('body', <wagtail.rich_text.RichText object at 0x3e8e262d4640>), ('btn_text', 'Enroll Now'), ('href', ''), ('image', None)])]>

  • New courses and certification updates from AWS Training and Certification in June 2024
    by Training and Certification Blog Editor (AWS Training and Certification Blog) on June 25, 2024 at 3:45 pm

    In June, we launched 29 new digital training products on AWS Skill Builder, including 12 new generative AI digital courses (eight free and four paid), two new AWS Builder Labs, one new AWS Digital Classroom course, and a robust learning plan for aspiring machine learning engineers. For leaders, we launched a six-week generative AI learning experience in collaboration with the Udemy. We also announced two new AWS Certifications in AI and ML, with supporting exam prep materials.

  • Three things you’ll gain when launching your cloud career with AWS Cloud Institute
    by Carlie Marvel (AWS Training and Certification Blog) on June 20, 2024 at 2:33 pm

    The demand for cloud skills is skyrocketing, outpacing the supply of qualified professionals. To address this gap, AWS launched AWS Cloud Institute - a virtual training program designed to prepare people for cloud careers, even without prior technical experience, in as little as one year. In this blog, current AWS Cloud Institute students share the three key benefits they've gained through the program: a supportive community, confidence in their abilities, and clarity on their career path.

  • Courses to elevate your NoSQL data modeling skills
    by Marco Tamassia (AWS Training and Certification Blog) on June 17, 2024 at 4:56 pm

    In today's digital landscape, NoSQL databases have emerged as mature and widely-adopted technologies, both on-premises and in the cloud. These powerful data management solutions have become indispensable for modern applications, offering a range of benefits that traditional relational databases often struggle to match. AWS Training and Certification offers a variety of digital, classroom, and hands-on training options to help you build your skills.

  • 5 more myths about platform engineering: how it’s built, what it does, and what it doesn’t
    by (Training & Certifications) on June 6, 2024 at 4:00 pm

    In an earlier post, we discussed some persistent myths about platform engineering — what it is, what it isn’t, and ways in which you’re already performing core platform engineering tasks. Here, we will cover five more myths, this time about how platforms are built, what they do, and what they don't.  6. MYTH: Platform engineering eliminates the need for infrastructure teams Even if you have the best developer platform on the planet, it still runs on top of complex infrastructure, which will always require ongoing maintenance by specialists who understand it. After all, someone needs to architect, manage, scale, troubleshoot, and optimize that infrastructure. And try as you might, that infrastructure will continue to fail just as it did before you introduced platform engineering. A common mistake is to eliminate the infrastructure team and to expect a totally new team to make up for that loss. Infrastructure teams already have the expertise to handle these responsibilities, and as such,  are good candidates to become platform engineers. By using the team with institutional knowledge of the underlying infrastructure, you're more likely to adapt your current system into a viable, engineered platform. However, what platform engineering does change is how infrastructure specialists prepare for and respond to failures, as the platform engineering role is more focused on platform development, and less on manual, repetitive tasks. So while platform engineering changes the nature of infrastructure work, it doesn’t eliminate it altogether. You still need to build a self-service catalog of golden paths that developers can select to deploy their applications. That catalog needs to be documented and refined, advocated for within the organization, and introduced to new engineers. Improvements to the platform also need to be rolled out to existing tenants. Scale and security are always a source of new issues. Infrastructure experts are extremely valuable members of any IT staff; allowing them to codify their knowledge into a platform is essential to an organization looking to succeed at software delivery. Finally, even the most mature platforms have components that fall outside the scope of automation, and infrastructure experts will still be responsible for them. And that’s OK, because they understand this work firsthand, so are better able to prioritize which features to add to the platform engineering product backlog. New systems come online and evolve, cloud providers expand their offerings, but the platform is never done. 7. MYTH: Introducing platform engineering will dramatically impact staffing costs Part of building a platform engineering team is taking the people with the most DevOps skills within an organization and evolving into the new structure. This allows them and the organization to better apply DevOps principles with fewer people, using  self-service automation and golden paths. A common concern is that a platform engineering team will require a lot of additional personnel. A platform engineering team indeed needs to be staffed, but that staff can come from existing operations and software engineering teams. Over time, the resulting platform should more than pay for itself by leveraging gains from shared services. In other words, the platform engineering team is an investment that you can fund from existing in-house teams. One model to consider is Google SRE's history of sublinear scaling, where the teams responsible for ensuring availability set objectives to grow their headcount at a lower growth rate than the system they run. When introducing platform engineering, an antipattern would be to expect a reduction of operations staff or developers out of the gate. Retraining existing teams works well because they're already familiar with your business needs, and have a lot of experience with the underlying infrastructure, whether it’s exposed directly or via a platform. In fact, we observe that teams that adopt platform engineering end up finding that more work can be done by the same individuals because there’s a platform that they can leverage. When implemented correctly, platform engineering increases efficiency and reduces operational overhead: Automating deployment pipelines, infrastructure, and configuration reduces manual work. The self-service model reduces bottlenecks, as there’s minimal intervention required from operations teams Workflows become streamlined, allowing teams to do more with the same (or potentially even fewer) resources. And while you may need to do some initial upskilling or hiring, over time, the transition to platform engineering unlocks long-term efficiency by applying platform expertise across the organization. 8. MYTH: Adopting platform engineering today will quickly solve all my biggest problems In any complex environment, hoping for a quick-fix is almost always wishful thinking. Change takes time, and the timeline for that change needs to account for identifying your organization's constraints and how quickly it can curate relevant solutions. Nor is there a one-size-fits-all approach to platform engineering; it needs to be tailored to meet the specific needs of your organization. However, you *can* achieve faster results by building out a minimal viable platform (MVP), starting from a subset of your user base and creating a fast feedback loop. Starting with some pre-made MVPs can help to bootstrap a team, but it is important to not make the mistake and think that you can "buy your way out of this" by adopting a fully-built platform, and presto! Improving immediately. Investment, research, and introspection are the right path forward here. By starting with an MVP and adding capabilities based on early adopters’ feedback, you can iteratively build a platform that starts delivering value quickly.  Don't try to design the perfect platform with a five year plan. In short, platform engineering is a journey that requires a change in mindset across development and operations, a cultural shift to embrace the platform, golden path engineering, and tooling to address friction in the development process. All of which takes time to get it right. 9. MYTH: You should apply platform engineering practices to every application Platform engineers actively analyze and identify tasks or processes which create a high cognitive load on development and operations teams, taking targeted actions to alleviate the burden. That does not describe all tasks and processes within a software delivery organization. As such, consider applying platform engineering to applications where developers are overwhelmed by infrastructure complexities, or the operations team faces constant friction. In these situations, a "golden path" approach can streamline development and management. This typically involves selecting suitable cloud services, automating deployments, and establishing standardized configurations. First, focus on abstracting things that have the highest usage and toil, i.e., services that both take a high cognitive load and are frequently used. Prioritizing these systems allows the benefits of the platform to be realized sooner. Make sure your abstractions provide value, sensible defaults, along with guidance and explanations for why you made certain choices. Having "break-glass" methods for stepping outside the platform if needed is highly encouraged. At least initially, think in terms of building a platform for depth rather than breadth.  Satisfy and automate common use-cases as completely as you can before moving on to new ones. Similarly, don't start with the biggest, most important service to your organization. An antipattern is to adopt the "biggest bang" application first, to maximize gain over time.  This is likely to fail, as teams haven’t had the time to develop confidence in your nascent platform, or the platform doesn’t yet have the requisite capabilities. Instead, start with smaller, less-demanding services. A team doesn’t need to deploy every service when adopting the platform. You can aim to adopt some large percentage of them, but there will always be "strays" that might require a separate approach. As long as the discussion happens and is documented for future re-evaluation, don't worry too much about that. 10. MYTH: All cloud services map to platform engineering When people begin their platform engineering journey, they often ask us "does this cloud service map to platform engineering?” Don’t mistake adopting a cloud service for practicing platform engineering. This misunderstanding hinders effective implementation, and suggests that there’s an unclear understanding of what platform engineering actually is.While you can use any cloud service with platform engineering, what matters is how you integrate that cloud service into your developer experience through the platform. Let’s briefly revisit core platform engineering practices and processes, so that you can decide for yourself whether a cloud service or product is a fit for your platform. DevOps practices used for platform engineering Example processes  1. Developer-centric approach Measuring developer experience (DX) Golden paths Self-service capabilities 2. Automation and Infrastructure as Code (IaC) Automate everything Infrastructure as Code tooling 3. Security and compliance Security by design Guardrails Compliance as Code 4. Observability Centralized monitoring Alerting Troubleshooting tools 5. Continuous improvement Metrics-driven approach Feedback loops Learning from incidents Your next steps with platform engineering Over the course of this blog, you’ve learned that platform engineering is a new approach to managing IT infrastructure and software development. It aims to streamline the software development process by providing developers with self-service tools and platforms, abstracting away complex infrastructure details, and automating repetitive tasks. While it builds on existing practices like DevOps and automation, it is worth considering this on its own to ensure the most benefit for teams. Key takeaways: Platform Engineering is a natural evolution of DevOps, aiming to address the challenges of modern software development at scale. It's not a one-size-fits-all solution and requires a tailored approach to meet your organization's specific needs. Start small with a minimal viable platform, prioritize high-value tasks, and iterate based on feedback to build a platform that truly delivers value to your developers and organization. Keep reading about golden paths and laying the foundation for a career in platform engineering. Also check out recorded talks from PlatformCon. Last but not least, be sure to contribute to the annual DORA survey!

  • Unlocking generative AI opportunities with AWS
    by Dan Naden (AWS Training and Certification Blog) on June 6, 2024 at 3:09 pm

    The new learning program, Unlocking Generative AI Opportunities with AWS, developed in collaboration with the Udemy Business Leadership Academy, is uniquely designed to equip leaders across all industries with the generative AI knowledge and change management strategies they need to develop talent successfully and drive the digital transformation within their organizations. Now’s the time for you and your team to learn the what, why, and how behind generative AI.

  • All Google Cloud courses and labs are now available at no cost through Innovators
    by (Training & Certifications) on June 4, 2024 at 4:00 pm

    As the managing director of Google Cloud Learning, I see firsthand how cloud developers with a drive for continued education come out on top. Google Cloud Certified professionals are the highest paid in the industry; Google offers 7 of the 10 top-paying IT certifications globally1. We want to make it easier than ever for you to tap into that potential to earn more.  That's why, this year at I/O, Google announced that every member of the Google Cloud Innovators community, our no-cost developer program, is now granted 35 unrestricted learning credits every month to use on courses and hands-on labs through Google Cloud Skills Boost. If you haven’t already, you can join Innovators today to get started. The best part: these credits will continue to renew every month, so you can keep learning and earning skill badges.  Learn your way, at your pace With credits that renew each month, you can dive deep into specific areas of interest or explore a variety of on-demand topics to expand your knowledge. Whether you want to become proficient in generative AI or gain a broader understanding of cloud technologies, the choice is yours. Courses on Google Cloud Skills Boost are on-demand and feature hands-on labs, so you can gain the skills you need to tackle real-world challenges and make an impact in your career.  Showcase your skills with shareable skill badges It’s never been easier to get credentialed in Google Cloud tech. Google Cloud skill badges are designed for all levels of developers, and cover a wide range of topics, from generative AI and data engineering, to security. When you join the no-cost Innovators community, you’ll gain enough learning credits to earn a Google-verified skill badge every month. As you build your cloud skills, stand out by sharing your skill badges with your professional network through Credly, where your credentials are officially verified by Google and collected in your mobile wallet. Become an Innovator today If you’re looking for a community where you can learn and grow your cloud skills, join Google Cloud Innovators. As an Innovator, you can network with peers and to stay up to date in the evolving world of cloud technology—at no cost.  Become a member and start your learning journey today. You’ll be automatically granted 35 learning credits for Google Cloud Skills Boost as soon as you join. 1. Skillsoft “IT Skills & Salary Report,” 18th Edition, 2023

  • New courses and certification updates from AWS Training and Certification in May 2024
    by Training and Certification Blog Editor (AWS Training and Certification Blog) on May 21, 2024 at 3:55 pm

    In May, we launched 33 new digital training products on AWS Skill Builder, including two new AWS Builder Labs, a new Digital Classroom course (Build Applications with AWS NoSQL Databases), a new Partner course (Generative AI on AWS Essentials (Business)), and localized versions of Exam Prep: AWS Certified Cloud Practitioner (CLF-C02), Exam Prep: AWS Certified DevOps Engineer- Professional (DOP-C02), and Exam Prep: AWS Certified Solutions Architect - Professional (SAP-C02).

  • 5 ways to increase AWS Certified employees in your organization
    by Training and Certification Blog Editor (AWS Training and Certification Blog) on May 17, 2024 at 6:03 pm

    Partners with AWS Certifications have demonstrated their understanding of AWS best practices, architectures, and services. This enables them to recommend the most suitable solutions that align with the customer's requirements and business goals. Learn 5 best practices for encouraging certification pursuits and retaining top talent, along with real-world examples from AWS Partners who have successfully adopted these methods.

  • Level Up Your Cloud Game with AWS Educate Builder Labs
    by Deepti Trivedi (AWS Training and Certification Blog) on May 15, 2024 at 3:18 pm

    The AWS Educate Builder Labs course in the Core Concept section offers new-to-cloud learners the opportunity to gain hands-on experience with AWS services through the lens of building a real-world application. In this post, Technology Associate Deepti Trivedi explores the Builder Labs course experience and shares why they're a game-changer for anyone looking to learn more about security and serverless basics and microservices.

  • Create a custom AWS Certification exam practice tool with Amazon Q Apps
    by Karan Lakhwani (AWS Training and Certification Blog) on May 14, 2024 at 10:03 pm

    Did you know you can harness the power of Amazon Q Apps to create your own personalized AWS Certification exam practice tool? We'll show you how to use the generative capabilities of Amazon Q Apps to build a tailored study aid that adapts to your specific knowledge gaps and learning style. This tool can enhance your learning and confidence as you prepare for your next AWS Certification exam.

  • New courses and certification updates from AWS Training and Certification in April 2024
    by Training and Certification Blog Editor (AWS Training and Certification Blog) on April 30, 2024 at 4:29 pm

    In April, we launched 19 new digital training products on AWS Skill Builder, including two new AWS Digital Classroom courses (Digital Classroom - Developing Generative AI Applications on AWS and Digital Classroom - Security Engineering on AWS), nine new digital courses, two new AWS Partner courses (both include an Accreditation Badge to be awarded upon successful completion of the final assessment), and localized versions (Japanese, Korean, Simplified Chinese) of Exam Prep: AWS Certified Advanced Networking - Specialty.

  • Google Cloud offers new AI, cybersecurity, and data analytics training to unlock job opportunities
    by (Training & Certifications) on April 15, 2024 at 2:30 pm

    aside_block <ListValue: [StructValue([('title', 'Try Google Cloud for free'), ('body', <wagtail.rich_text.RichText object at 0x3e8e27c664f0>), ('btn_text', 'Get started for free'), ('href', ''), ('image', None)])]> Google Cloud is on a mission to help everyone build the skills they need for in-demand cloud jobs. Today, we're excited to announce  new learning opportunities  that will help you gain these in-demand skills through new courses and certificates in AI, data analytics, and cybersecurity. Even better, we’re hearing from Google Cloud customers that they are eager to consider certificate completers for roles they’re actively hiring for, so don’t delay and start your learning today. Google Cloud offers new generative AI courses Introduction to Generative AI Demand for AI skills is exploding in the market. There has been a staggering 21x increase in job postings that include AI technologies in 2023.1 To help prepare you for these roles, we’re announcing new generative AI courses on YouTube and Google Cloud Skills Boost, from introductory level to advanced. Once you complete the hands-on training, you can show off your new skill badges to employers. Introductory (no cost!): This training will get you started with the basics of generative AI and responsible AI.   Intermediate: For Application Developers, and you will learn how to use Gemini for Google Cloud to work faster across networking, security, and infrastructure. Advanced: For AI/ ML Engineers, and you will learn how to integrate multimodal prompts in Gemini into your workflow.  New AI-powered, employer-recognized Google Cloud Certificates Gen AI has triggered massive demand for skilling, especially in the areas of cybersecurity and data analytics,2 where there are significant employment opportunities. In the U.S. alone: There are over 505,000 open entry-level roles3 related to a Cloud Cybersecurity Analyst, with a median annual salary of $135,000.4 There are more than 725,000 open entry-level roles5 related to a Cloud Data Analyst, with a median annual salary of $85,700.6 Building on the success of the Grow with Google Career Certificates, our new Google Cloud Certificates in Data Analytics and Cybersecurity can help prepare you for these high-growth, entry-level cloud jobs. A gen AI-powered learning journey  What better way to understand just how much AI can do for you than integrating it into your learning journey? You’ll get no-cost access to generative AI tools throughout your learning experience. For example, you can put your skills to use and rock your interviews with Interview Warmup, Google’s gen AI-powered interview prep tool. Talent acquisition, reimagined  And while we're at it, we'll help connect you to jobs. Our new Google Cloud Affiliate Employer program unlocks access for certificate completers to apply for jobs with some top cloud employers, like the U.S. Department of the Treasury, Rackspace, and Jack Henry. We’re also taking it one step further. Together, with the employers in the affiliate program, we're helping reimagine talent acquisition through a new skills-based hiring effort. This new initiative uses Google Cloud technology to help move certificate completers through the hiring process. Here’s how it works: Certificate completers in select hiring locations will have the chance to take custom labs that represent on-the-job scenarios, specific to each employer partner. These labs will be considered the first stage in their hiring process. By matching candidates with the right skills to the right jobs, this initiative marks a major step forward in creating more access to job opportunities for cloud employers. The U.S. Department of the Treasury will start using these new Google Cloud Certificates and labs for cyber and data analytics talent identification across the federal agency, per President Biden's Executive Order on AI. “In an age of rapid innovation and adoption of new technology offering the promise of improved productivity, it is imperative that we equip every worker with accessible training and development opportunities to understand and apply this new technology. We are partnering with Google to provide the new Cloud Certificates training for our current and future employees to accelerate their careers in cybersecurity and data analytics.” - Todd Conklin, Chief AI Officer and Deputy Assistant Secretary of Cybersecurity and Critical Infrastructure Protection, U.S. Department of the Treasury  No-cost access for higher education institutions worldwide To expand access to these programs, educational institutions, as well as government and nonprofit workforce development programs across the globe, can offer these new certificates and gen AI courses at no cost. Learn more and apply today. And in the U.S., learners who successfully complete a Google Cloud Certificate can apply for college credit,7 to have a faster and more affordable pathway to a degree. “Purdue Global's students have benefited greatly from the strong working relationship between Purdue Global and Google. Together, they were the pioneers in stacking Grow with Google certificates into four types of degree-earning credit certificates over the past two years. We believe these new Google Cloud Cybersecurity and Data Analytics Certificates will equip our working adult learners with the essential skills to move forward and succeed in today’s cloud-driven market.” - Frank Dooley, Chancellor of Purdue Global  Take the next steps to upskill and identify cloud-skilled talent   We're helping to prepare new-to-industry talent for the most in-demand cloud jobs, expanding access to these opportunities globally, and pioneering a skills-based hiring effort with employers eager to hire them. Here's how you can get started: Learners: Preview the courses and certificates on Google Cloud YouTube and earn the full credential on Google Cloud Skills Boost to give yourself a headstart in the race to hire AI talent.   Higher education institutions and government / nonprofit workforce programs: Apply today to skill up your workforce at no cost.  Employers: Express interest to become a Google Cloud Affiliate Employer and be considered for our skills-based hiring pilot to connect with cloud-skilled talent. 1. LinkedIn, Future of Work Report (2023)2. CompTIA Survey (Feb 2024)3. U.S. Bureau of Labor Statistics (2024)4. (ISC)2 Cybersecurity Workforce Study (2022)5. U.S. Bureau of Labor Statistics (2024) 6. U.S. Bureau of Labor Statistics (2024) 7. The Google Cloud Certificates offer a recommendation from the American Council on Education® of up to 10 college credits.

  • Plan and navigate your AWS Cloud career journey, no matter your starting point
    by Prasad Rao (AWS Training and Certification Blog) on April 11, 2024 at 5:30 pm

    Are you at an inflection point and exploring how you might transition to a career in cloud? Amazonians, Prasad Rao and Ashish Prajapati, recently co-authored a book, Cloud Career Journeys, and sought to tell the stories of individuals who started or advanced their cloud career in the hopes that it will help inspire you to get started or progress your own cloud career. Whether you’re apprehensive about a cloud career because you do not have any IT experience, or you’re not sure how to take your IT skills to the cloud, you may find a relatable learner journey to spark your own career change and progression.

  • Showcase your skills: Discover new ways to skill up with Google Cloud Credentials
    by (Training & Certifications) on April 1, 2024 at 4:00 pm

    Google Cloud credentials, including certifications and skill badges, empower you to validate your expertise in the ever-evolving landscape of cloud technology, and work towards that next promotion or prepare for a new career opportunity in cloud.  Going to Google Cloud Next in Las Vegas April 9-11? Check out all the opportunities to lead with learning and earn credentials. It’s still not too late to register for a digital pass. According to a recent study led by Pearson VUE, 92% of individuals with digital credentials are more confident in their abilities, and 81% have more confidence to explore new job opportunities. Whether you're looking to enhance your career prospects, transition into a new role, or showcase your cloud expertise, Google Cloud credentials offer a great pathway to elevate your career. We’re excited to introduce new, easy-to-use features that help to showcase your validated skills and demonstrate your expertise with Google Cloud. Our credential earners can now manage and share their credentials in one, easy-to-access place with the Google Cloud Credential Wallet, powered by Credly.  We invite credential earners to opt-into the Google Cloud Skills Directory, to help you gain visibility to career-relevant cloud opportunities.  Earners can take advantage of Labor Market Insights and discover open job opportunities based on verified skills and credentials, including job titles, locations, employers, and salary insights.  Join us for an webinar on April 17 at 8am PT to discover how to make the most of these tools and features to showcase your skills and connect to employment opportunities. And don’t miss Google Cloud Next 2024 where we have a huge number of opportunities to lean into learning and earning a Google Cloud credential. Check out all the ways to learn at Next here.  Meet Nikiya: A cloud skills success story Introducing Nikiya Simpson, a mom of three out of Little Rock Arkansas, who wears many hats: She’s a full stack engineer at a technology-based healthcare company and is pursuing her master’s degree in AI and Human-Computer Interaction at Georgia Tech, all while managing an active household. Nikiya, an avid learner on Google Cloud Skills Boost, tackles cloud challenges at work by utilizing on-demand learning labs during breaks. These labs provide her with hands-on experience with Google Cloud products and concepts related to Kubernetes, data processing, and application development. By acquiring targeted, validated skills with skill badges, Nikiya significantly enhanced her resume and career. “I was able to directly apply the skills obtained by earning skill badges in my career as a software engineer. I know more about cloud infrastructure, logging and monitoring, and how to create new solutions in ways that make me a better engineer. I’m also able to help people in my community spin up new projects, as well as explore new project ideas of my own.” Now, Nikiya continues to earn Google Cloud skill badges to advance her skillset, and even achieved the Associate Cloud Engineer certification, giving her the industry credibility needed to take on more complex projects at work. She even mentors aspiring cloud developers as an ambassador within the Women Techmakers program. Discover how Google Cloud Skills Boost and Google Cloud credentials fueled Nikiya's engineering journey. Check out her story here: SUCCESS STORY Start your cloud skilling journey by earning a skill badge today Try earning a Google Cloud skill badge today. Whether you’re just getting started with AI, or an experienced technical practitioner, there’s skilling for every level.   [Introductory] Prompt Design in Vertex AI  [Introductory] Insights from Data with BigQuery [Intermediate] Build and Deploy ML Solutions on Vertex AI [Intermediate] Deploy to Kubernetes in Google Cloud See you at the upcoming webinar. In the meantime, make sure to: Create your Credly account. Claim your digital badges. Access your Credential Wallet to share your badges with your network and to your resume!

  • The future of infrastructure modernization: how Google Cloud Innovators are embracing the cloud
    by (Training & Certifications) on March 18, 2024 at 4:00 pm

    Google Cloud Champion Innovators is a global network of roughly 600 external professionals who are technical experts in Google Cloud products and services. Each Champion specializes in one of nine different technical categories including Coud AI/ML, Data Analytics, Databases, Hybrid Multi-Cloud, Modern Architecture, Security and Networking, Serverless App Development, Storage, or Google Workspace. In this ongoing interview series we sit down with Champion Innovators across the world to learn more about their journeys, technology focus, and what excites them. Today we're talking to Rohan Singh, a Senior Cloud Infrastructure Engineer at SADA - An Insight Company, and a Google Cloud Champion Innovator specializing in Modern Architecture. He focuses on infrastructure modernization and migration, applying his expertise to help organizations embrace the transformative power of cloud technologies. Natalie Tack (Google Cloud Editorial): What technology are you most fascinated with, and why?  Rohan Singh: Quite simply, I'm passionate about the cloud and DevOps: every day brings fresh developments, and there's always something new to learn. As a Senior Cloud Infrastructure Engineer, my work involves helping clients with their application infrastructure, focusing on strategy planning and choosing the best approach to their specific modernization and migration needs. A lot of companies are still working with legacy infrastructure, and finding the right strategy for them is a challenge that I really enjoy. Containerization is really big at the moment, so I’m doing a lot of work with Google Kubernetes Engine (GKE) and Anthos and using Migrate for Compute Engine to transition VMs from on-premise to the Cloud.  NT: What are some upcoming trends you’re enthusiastic about? RS: I’m seeing more and more interest in Infrastructure as a Code (IaC). IaC enables you to increase your level of control over infrastructure implementation and design and improves resource management and code versioning. Google recently launched Infrastructure Manager, which uses Terraform and allows you to manage your Google Cloud infrastructure through IaC. As a Champion Innovator, I attended an internal session with the Google team where they presented the product and answered any queries we had. This was really useful, as I believe IaC is set to be a significant shift for the industry.  I’m also really excited about the potential of generative AI. As a Champion Innovator, I was granted early access to Duet AI in Google Cloud, which I see as a sort of personal assistant who’s on call 24/7 to answer my queries and help me solve any code challenges. I'm looking forward to finding out more about the potential integration of generative AI with Google Cloud’s native DevOps tools for infrastructure and applications. It’s early days, but the potential to leverage generative AI to deliver improved solutions to clients, enhance our solution architecture and troubleshoot issues is thrilling.  NT: How do you like to learn new services, applications and technologies? RS: My main resources are Google Cloud blogs, documentation, and my company's internal channels, where we continuously discuss cloud migration and modernization. Google Cloud release notes are great as the information is coming straight from the source. Google Cloud blog articles and Medium posts are also really useful. The Innovators program has gathered a wealth of technical expertise from Google Cloud itself and other Innovators around the world.  Being an Innovator also gives me the opportunity to practice extensively on Google Cloud, which is great as I’m a strong believer in learning by doing. As soon as I find out about something new, I like to put it into practice straight away. But while passion is crucial, so is paying attention to your wellbeing. I focus on my mental health because it keeps me and my family happy and enhances my productivity. When my mind is at peace, I can think more clearly and provide better solutions to our clients. NT: How has being part of the Innovators program impacted your personal and professional development? RS: Access to internal and Innovators-only training and certifications has really helped shape my approach to infrastructure modernization and migration. Another huge advantage is the robust community support. You’re connected with dozens of cloud enthusiasts and seasoned professionals who are there to support you.  Joining the program has also really expanded my horizons. I come from a small town where there aren’t many opportunities to interact with outsiders. Being an Innovator has boosted my confidence as well as my interpersonal and communication skills. I've also learned to articulate complex technical concepts in simple terms, which is really useful when working with non-technical colleagues and clients.  Having “Google Cloud Champion Innovator for Modern Architecture” in your bio also makes a real difference. People pay far more attention to what you’re saying! Since joining the program, my global reach on LinkedIn and Medium, and the queries I receive, have increased threefold.  NT: How important is community to you?  RS: Very important! I’m a strong advocate for community engagement. Cloud communities and programs like Innovators emphasize collaboration and knowledge sharing and connect people from diverse backgrounds. Regular interactions with others provide insights into challenges we’re all facing and are a great way to gain perspective.  I actively seek to share my stories and experiences and help people on the Google Cloud community page and via my Medium blog, where I run an interview series called “Silly Sit-Downs(SSD) with Rohan” with people from the industry irrespective of their domain. Video and podcasts are really big these days, but I truly believe in the power of reading and writing. Reading sparks the imagination, and it’s accessible to people everywhere as it doesn’t require a strong internet connection. I see myself as a mentor now, communicating globally without barriers. I’m not interested in follower numbers per se, but when I get messages from people saying my content has helped them it really makes my day.  NT: What advice would you give to budding Innovators?  RS: Pursue knowledge and skills, not titles. Don't choose a technology like cloud computing just because your friends are doing it or because you think you can make good money. Explore it first and if it interests you, start with the basics. Don't stress yourself out with unrealistic expectations, such as becoming a cloud expert in six months. Take your time to learn and grow at your own pace, stay active, travel, learn new things beyond technology, talk to people, and take breaks when necessary. Just getting started is difficult in its own right. For even more insight into how organizations are innovating with generative AI, check out our growing Innovators community – we appreciate ideas from like-minded Google Cloud users who want to take their journey to the next level.

  • Maximize your cloud potential at Next ‘24: Lead with learning at any skill level
    by (Training & Certifications) on March 13, 2024 at 4:00 pm

    This April, what happens in Vegas could raise the stakes on your cloud expertise!Join us April 9-11 at Google Cloud Next ‘24 in Las Vegas, where Google Cloud Consulting will offer three epic days of learning opportunities for attendees at any stage in their cloud journey – from curious beginners to advanced professionals, developers and partners to CxOs. It’s been exciting to build programming that can have a direct, positive impact on Next attendees professional journeys, and we have so much planned that you don’t want to miss. Get hands-on experience with the latest technology, explore live workshops, acquire skill badges, collect unique swag, watch demos on fresh innovations, perform challenges, connect with experts in the community, and more. Phew! Secure your ticket and register today.Got your ticket and ready to go? Check out some highlights of the learning experiences you can expect at Google Cloud Next.Earn our new generative AI skill badge (and swag!)Skilling up in gen AI? Now that’s a safe bet. The no-cost introductory Prompt Design in Vertex AI skill badge gives you hands-on experience building cloud solutions faster with gen AI while earning a valuable Google Cloud credential. Complete the introductory Prompt Design in Vertex AI skill badge before or during Next ‘24, and visit the Learning and Certification booth to pick up your limited-edition swag. Make sure to share your digital #GoogleCloudSkillBadge on your socials to highlight your achievement.Identify your Cloud TypeHave you ever pondered if you should set sail as a Python Pirate, or if you’d be better off finding your focus flow with a rubber duck? Great news — there’s a way to find out. Discover the skills that make you shine by taking our brand new “What’s my Cloud Type?” quiz at the Learning and Certification booth. It’s both entertaining and grounded in real insights to help you make informed decisions about your learning journey. After answering a few fun questions about your interests and working style, you’ll find out your Cloud Type — and receive recommendations for the relevant Google Cloud skill sets and personalized learning paths that align to it. Whether you lean towards realistic or artistic, prefer to investigate or innovate, there’s something for everyone to help tailor an ideal learning experience. You’ll also get a limited-edition pin to show your cloud skills with pride.Power up your potential with a training workshopNo matter your learning level, we’ve got a session to help you enhance your career. Individuals who get Google Cloud trained and certified report boosts in salary — and in feeling more confident about their work1. So invest in yourself and consider prioritizing a certification training workshop. There are a variety of ways to learn, including hands-on learning, gamified activities, speaker presentations, and more. New to data analysis and hoping to practice querying large datasets? Wanting to improve and implement your advanced gen AI abilities by creating a generative chat app? All that and more is waiting for you to explore in the session library. Check it our and book your Tech Training session seat today – they’re filling up fast!Join a Cloud Learning breakout sessionWant to understand how training and certification can transform your company's culture? We’ve got you. Get the lowdown on how to prepare for the most popular Google Cloud certification exams, realize the ways gen AI can enhance your team’s learning journey, gain insight into the latest learning resources from Google Cloud, and more. You won’t want to miss our customer sessions, where you’ll hear real stories about the positive impact that cloud learning has had on their businesses. Don't forget to check out the Cloud Learning and Certification playlist and mark your calendar for the sessions that catch your eye.Let inspiration strike at a Lightning TalkAs industries focus more on skills2, it becomes crucial to understand how to stay up to date — and how to translate your skills into career growth. Google Cloud Learning Services will be holding two Lightning Talks on how to own your professional narrative. Unsure how to differentiate your résumé? “Stand Out with Google Cloud Credentials” will show you how to turn your Google Cloud Credentials into a powerful currency. Wondering how you may need to adjust your approach to learning as technology advances at a rapid pace? “Need for Speed: Skilling up in the World of Cloud and AI” illuminates the importance and process of evaluating and re-upping your existing skills in this fast-paced world of AI and cloud technology. Learn more and discover even more Innovators Hive Lightning Talks in the session library.Advance your skills and get limited-edition swagWho doesn’t love swag? Demonstrate your Google Cloud prowess by earning any of these three skill badges from now until Next:Insights from Data with BigQueryBuild and Deploy ML Solutions on Vertex AIDeploy to Kubernetes in Google CloudYou’ll get a digital badge on your developer profile that you can share online to showcase your commitment to #GoogleCloudLearning. Then, when you’re at Next in Las Vegas, swing by the Learning and Certification booth and show us your developer profile to snag a limited-edition pin.Get guidance and greetings at the Learning and Certification boothWhether you’ve got questions about the latest updates to learning content or are on the hunt for stickers, the Learning and Certification booth is your destination. Drop by to chat with training experts, interact with the freshest learning materials and credentials, and of course, take your Cloud Skills Quiz! We’re also debuting our Learning Library: a collection of certification preparation and Googler authored generative AI books that you can check out and receive a discount to purchase online. And don’t forget to snap a selfie at our photo wall!Test your talents with the Persona QuizathonsGot 10 minutes during Next? Play the Google Cloud Quizathon in any of the seven Persona Areas in the Innovators Hive. You’ll test your knowledge of basic Google Cloud concepts in a fun, quiz-based game, and score a digital badge and physical swag to show off your expertise.Network and find the buzz at the Community HubMake connections at the Community Hub in the Innovators Hive. Connect with developers and Google Cloud Innovators to chat and learn about different Google communities and find the right one(s) for you. You’ll also find persona-based demos, access to experts, meetups, and more. Stop by anytime – there’s always something hopping at the Hub.Can’t wait to get started? Sign up for the Google Cloud Community and join the conversation today.Engage with experts at the Google Cloud Consulting boothHead to the Showcase and visit the Google Cloud Consulting booth for personalized consultations with product and solution experts and industry experts. Want tips on transforming your business? You can learn how to harness the power of advanced analytics to maximize your data insights, or explore integrating cutting-edge AI solutions to automate processes, improve decision-making, and enhance customer experiences. Don't miss this opportunity to connect with leaders in cloud technology and gain the insights you need to drive your business forward.Relax and revel in the Champions and Certified LoungeExclusively for Champion Innovators and the Google Cloud Certified community, come visit the lounge in the Innovators Hive to network, deep dive into discussions, or kick back and snack. You’ll find light refreshments, curated programming and meetups, and a photowall to capture and share your experiences. There will also be a few special surprise activities to help you unwind and bond with your fellow lounge-goers. Make sure to identify yourself as a Champion Innovator or Google Cloud Certified when you register for Next on your Profile page for easy lounge entry.We’re abuzz with excitement in anticipation of our biggest event of the year! Are you ready to raise your skill stakes and ante up your investment in your professional future? Come learn with us at Next in Las Vegas — we hope to see you there! Register today. 1. Based on survey responses from the 2020 Google Cloud certification impact report.2. From this 2022 Deloitte article

  • Start your cloud networking journey today
    by (Training & Certifications) on February 7, 2024 at 5:00 pm

    Cloud Networking is exciting, it is invisible, and yet without it nothing would communicate. If you need a high-level overview of the core services in Google Cloud, then the newly created Tour Of Cloud Networking lab is for you. Let’s take a look at this informational lab.The scaleThe lab introduces you to Google's Global network. One key benefit of running your workload on Google Cloud is you utilize the global scaled Google backbone powering services such as Search, Maps, YouTube, Google Cloud and more to billions of users and customers. In the lab, you will also learn about regions, zones and points of presence. Core elementsTo help you grasp the concept of cloud networking you can think of six building blocks. These blocks are network connectivity, networking security, service networking, service security, content delivery and observability, which help to simplify grouping of group networking functions.In this lab the following areas are introduced to highlight some of the core services related to each area:Virtual Private Cloud (VPC) networkNetwork servicesNetwork connectivityNetworking securityNetwork intelligence (i.e. Observability)Network Service Tiers Start your networking journeyStart today by signing up in the cloudskillsboost portal and navigating to the Tour of Cloud Networking lab.You can also learn more about networking with these resources:Products: Google Cloud networking productseBook: Cross-Cloud NetworkYouTube: Design secure enterprise networks for a multi-cloud worldSkillbook: Network engineer learning pathWant to ask a question, find out more or share a thought? Please connect with me on Linkedin.

  • 29 no-cost ways to leap ahead in your cloud career this February
    by (Training & Certifications) on February 1, 2024 at 5:00 pm

    Take a leap into learning this February, and make the most of the extra day! We’ve created a list of 29 no-cost ways for you to leap ahead in your cloud career, so take your pick and get learning something new!  The basics of Google Cloud and generative AI for everyone to learn  1. #LearnGenerativeAI on YouTube (<1 minute)  Take a hot minute to learn something new about #generativeAI.  2. Duet AI in Workspace (<30 minutes)  Watch these six short videos to help you get more productive in Gmail, Docs, Sheets, Slides, and Meet. 3. Generative AI Fundamentals Skill Badge (<60 minutes)  Earn a Google Cloud skill badge when you complete the introductory courses on generative AI, large language models (LLMs) and responsible AI.  4. Digital Transformation with Google Cloud (<2 hours) What is cloud technology? What does digital transformation mean? How can cloud technology help your organization? Where do you even begin? This course will help you discover the answers. 5. Exploring Data Transformation with Google Cloud (<60 minutes) Explore the value data can bring to an organization and ways to make data useful and accessible. 6. Innovating with Google Cloud AI (<60 minutes)  Discover how to use AI and ML to help transform the way you work. 7. A tour of Google Cloud hands-on labs (< 45 minutes) Take your first steps with Google Cloud by getting hands-on practice with the Cloud Console.  8. A tour of Google Cloud sustainability (<60 minutes)  Explore your carbon footprint data and use the Active Assist recommendations to help reduce your carbon footprint.  9. Modernize Infrastructure & Applications with Google Cloud (<60 minutes)  Learn more about the challenges of maintaining IT legacy systems and applications and the opportunities with modernizing your infrastructure.  10. Trust and Security with Google Cloud (<90 minutes)  Explore the basics of cloud security for data and applications.  11. Scaling with Google Cloud Operations (<45 minutes) Get a grip on the fundamentals of modern operations, reliability and resilience in the cloud.   12. Responsible AI: Applying AI Principles with Google Cloud (<2 hours) Learn how to help put responsible AI into practice in your organization.  Dive deeper into Duet AI: Using generative AI in your technical role  13. Day in the Life with Duet AI on YouTube (<5 minutes)  Got five minutes to spare? Whether you’re a data analyst, a network engineer, a cloud architect or an SRE, learn how you can use Duet AI in your role. 14. Duet AI in Google Cloud Learning Path (Starts at 45 minutes per course)  New video courses outlining how Duet AI in Google Cloud can help Application Developers, Cloud Architects, Data Analysts and Data Scientists, Network and Security Engineers, and DevOps Engineers. Labs in this learning path require credits to complete.  15. Duet AI Global Roadshow events (½ day)  Exclusive in-person events touring 30 cities, offering hands-on workshops to dive into the capability of Duet AI and learn how to integrate it in your development process.  Prepare for a Google Cloud Certification exam  16. Prepare for the Cloud Digital Leader certification (1 day) Complete the Cloud Digital Leader learning path, which helps everyone working with cloud understand the transformative power of this technology for your role, and team, and helps you prepare for the Cloud Digital Leader certification exam.   17. Prepare for your Associate Cloud Engineer Journey (1 day)  18. Prepare for your Professional Cloud Architect Journey (1 day)  19. Preparing for your Professional Data Engineer Journey (1 day)  20. Preparing for Your Professional Cloud Security Engineer Journey (1 day)  21. Preparing for Your Professional Cloud Network Engineer Journey (1 day) 22. Preparing for Your Google Workspace Administrator Journey (1 day) Each of these courses help you learn about the domains covered in the  corresponding Google Cloud certification exam and create a study plan to improve your knowledge as you prepare.  Get learning through no-cost technical labs  23. Play the Google Cloud Arcade  Get your game face on and complete gen AI labs at no-cost, to earn points towards claiming Google Cloud swag. 24. Getting started with BigQuery Machine Learning (45 minutes) In this lab, you’ll use a dataset in BigQuery to create a predictive model for consumer retail behavior using SQL queries.  25. Big data analysis to a slide presentation (60 minutes)  Use Google Apps Script in Google Cloud and Google Workspace and the BigQuery API to help explain you data analysis in a presentation  26. Explore and create reports with Looker Studio (40 minutes)  This lab focuses on how to create new reports and explore your datasets visually for insights.  27. Troubleshooting Common SQL errors with BigQuery (50 minutes)  Work through the logic of troubleshooting queries with a dataset.  Become part of the Google Cloud Developer community  28. Join Google Cloud Innovators Innovators is a no-cost community program for cloud practitioners and Google Cloud enthusiasts looking to learn the latest, access new technologies and help build skills. 29. Join a Google Developer Group Meet with local developers virtually or in-person, learn and share your skills, whether you’re just getting started or an experienced technical professional.

  • Ten new generative AI trainings to upskill in 2024 with Duet AI
    by (Training & Certifications) on January 18, 2024 at 5:00 pm

    Whether you’re an engineer or an email warrior, start 2024 strong by making a learning resolution to boost your productivity with generative AI.Generative AI is playing a significant role in the future of technology, and Google Cloud has recently developed a range of training options to help you use generative AI in your daily job tasks through Duet AI, your AI-powered collaborator.What is Duet AI?Duet AI for Developers helps engineers of all types become more efficient in their daily activities. Use the Duet AI natural language chat interface to quickly get answers to cloud questions, or receive guidance on best practices. Whether you're writing apps, calling APIs, or querying data, Duet AI can help complete your code while you write, or generate code blocks based on comments.Duet AI in Workspace is an add-on that provides generative AI features in Google Docs, Google Sheets, Gmail, and the full range of apps. With Duet AI in Workspace, users write, visualize, organize, and connect more meaningfully with Google collaboration solutions.Check out our recommended list of 10 new trainings on Duet AI for Google Workspace and Duet AI for Google Cloud to learn how to use generative AI to improve your productivity and efficiency, whether you’re building apps or writing emails. And great news, you can try Duet AI for Developers today at no cost until Feb 1, 2024.Top ten Duet AI training courses for 2024Check out our recommended top ten list of short trainings available on Duet AI, for developers, data analysts, cloud engineers, architects, security engineers, and Workspace users. There is no cost to complete the courses. However, the technical labs require Google Cloud Skills Boost learning credits to complete.#LearnGenerativeAI on YouTube (60 seconds) - Learn the basics on what Duet AI is and how developers can use it.Introduction to Duet AI in Workspace (5 minutes) - Learn about the key features of Duet AI in Workspace and how it can improve productivity and efficiency.Duet AI for Application Developers (90 minutes) - Use Duet AI to assist in building an app, including a lab.Duet AI in Gmail, Google Docs, Google Slides and Google Sheets (30 minutes) - Get extra productive using Duet AI to help with content generation.Duet AI for Cloud Architects (90 minutes) - Use Duet AI to build multi-tier web apps, learn how to prompt Duet AI to explain infrastructure, deploy GKE clusters and update existing infrastructure, including a lab.Duet AI for Data Scientists and Analysts (2 hours) - Use Duet AI to analyze customer data and predict product sales, including a lab.Duet AI for Network Engineers (60 minutes) - Prompt Duet AI to provide specific guidance for your networking tasks, including a lab.Duet AI for Security Engineers (60 minutes) - Deploy example workloads into an environment in Google Cloud, identify and remediate security misconfigurations with Duet AI, including a lab.Duet AI for DevOps Engineers (100 minutes) - Learn how to prompt Duet AI to find and understand application logs, create a GKE cluster, and investigate how to create a build environment, and use Duet AI to improve DevOps workflow, including a lab.Duet AI for end-to-end SDLC (2 hours) - Learn how to develop and build a web application, fix errors in the application, develop tests, and query data with Duet AI, including a lab.Learn more at a Duet AI roadshow event near youNew for 2024, Google Cloud Developer Relations and the Champion Innovators community have teamed up to host a series of in-person workshops across the globe to train developers on Duet AI. Take a look at the cities and dates available to join us for this no-cost Duet AI roadshow — the first workshop takes place in New York City on Feb. 2. Register here.Make a commitment to start 2024 strong by trying a new generative AI training from our list this year and join the Google Cloud Innovators community to stay up to date on the latest from Google Cloud.Got five minutes to spare? Whether you’re a data analyst, a network engineer, a cloud architect or an SRE, learn how you can use Duet AI in your role. Duet AI for Data Professionals

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