How I Earned 2 AWS Foundational Certifications in 2 Months, Before Turning 20
Not long ago, I had zero AWS certifications. Two months later, I was an AWS Certified Cloud Practitioner and an AWS Certified AI Practitioner, and I got both before my 20th birthday.
How I Earned 2 AWS Foundational Certifications in 2 Months, Before Turning 20
Not long ago, I had zero AWS certifications. Two months later, I was an AWS Certified Cloud Practitioner and an AWS Certified AI Practitioner, and I got both before my 20th birthday.
This article covers exactly how I did it: the 2-month plan I followed, the Udemy courses that did most of the heavy lifting, and the free AWS resources that filled in the gaps. If you're a student or just getting started with cloud, I hope it saves you some time (and money).
- Certifications: AWS Certified Cloud Practitioner (CLF-C02) and AWS Certified AI Practitioner (AIF-C01)
- Timeline: about 2 months total, roughly 4 weeks per exam
- Most important resource: Stéphane Maarek's Udemy courses
- Free resources: the official exam guides, AWS Skill Builder, Official Practice Question Sets, and the AWS Free Tier
- Study time: About 2 hours a day
- Biggest lesson: take Cloud Practitioner first. It makes AI Practitioner a lot easier.
A little about me
I'm G Monish Reddy, World's Youngest AWS Community Builder and AWS SBGL and AWS SBCL.
What I did have was a clear goal: both AWS Foundational certifications before I turned 20.
Why these two certifications?
AWS has two Foundational-level certifications, and they pair really well:
- AWS Certified Cloud Practitioner (CLF-C02) is the big picture of AWS: cloud concepts, security and the shared responsibility model, core services, and billing and pricing.
- AWS Certified AI Practitioner (AIF-C01) covers AI, machine learning (ML), and generative AI concepts, plus which AWS services fit which use case.
They stack. The AI Practitioner exam guide expects you to be familiar with core AWS services, the shared responsibility model, IAM, and AWS pricing models. That's basically the Cloud Practitioner syllabus. AWS even says Cloud Practitioner holders can skip the foundational cloud courses and start directly with the AI training.
The exams at a glance
| Cloud Practitioner | AI Practitioner | |
|---|---|---|
| Exam code | CLF-C02 | AIF-C01 |
| Duration | 90 minutes | 90 minutes |
| Questions | 65 (50 scored + 15 unscored) | 65 (50 scored + 15 unscored) |
| Question types | Multiple choice, multiple response | Multiple choice, multiple response, ordering, matching |
| Passing score | 700 out of 1,000 | 700 out of 1,000 |
| Cost | 100 USD | 100 USD |
| Where | Pearson VUE test center or online proctored | Pearson VUE test center or online proctored |
Domain weightings, straight from the official exam guides:
- CLF-C02: Cloud Concepts (24%), Security and Compliance (30%), Cloud Technology and Services (34%), Billing, Pricing, and Support (12%)
- AIF-C01: Fundamentals of AI and ML (20%), Fundamentals of GenAI (24%), Applications of Foundation Models (28%), Guidelines for Responsible AI (14%), Security, Compliance, and Governance for AI Solutions (14%)
My 2-month plan
| Weeks | Focus | What I did |
|---|---|---|
| 1–2 | Learn CLF-C02 | Worked through Stéphane's Cloud Practitioner course, writing short notes after every section |
| 3 | Hands-on + gaps | Practiced in the AWS Free Tier and used AWS Cloud Practitioner Essentials to re-learn weak topics |
| 4 | Practice + exam | Course practice exam and the Official Practice Question Set, reviewing every explanation. Passed CLF-C02 ✅ |
| 5–6 | Learn AIF-C01 | Worked through Stéphane's AI Practitioner course, plus the free AI training on Skill Builder |
| 7 | Hands-on + gaps | Tried prompts in the Amazon Bedrock playground and doubled down on responsible AI and security |
| 8 | Practice + exam | Course practice exam and the Official Practice Question Set, then a final review of weak domains. Passed AIF-C01 ✅ |
My routine was simple: About 2 hours on weekdays, a longer session on weekends, and one rule. No new video until I'd written a one-line note on the last one.
My study materials
1. Stéphane Maarek's Udemy courses (the most important one)
If I could keep only one resource, it would be these two courses by AWS Hero Stéphane Maarek:
Why they worked for me:
- They're built around the exam guide. I never felt like I was memorizing random trivia.
- Hands-on demos. Seeing services used in the AWS console made the names stick.
- Short, focused lectures. Easy to fit into a busy day.
- A full practice exam with explanations is included. Going through the explanations, especially for questions I got right by guessing, taught me as much as the lectures did.
How I used them:
- Watched at 1.25x speed, slowing down for brand-new topics
- Kept a running "service → what it does → when to use it" list
- Rewatched the sections for any domain where I scored low in practice
Udemy runs sales often, so check before paying full price. If you want extra question practice, Stéphane and Abhishek Singh also publish separate practice exam sets for both certifications on Udemy.
2. Free resources from AWS
AWS gives away a lot of high-quality prep material. These are the ones I recommend.
For both exams
- Official exam guides for CLF-C02 and AIF-C01 . This is the real syllabus. I used the domains and task statements as a checklist.
- AWS Skill Builder , AWS's own learning platform. Everything below marked "Skill Builder" is in its free catalog.
- Official Practice Question Sets (Skill Builder). 20 exam-style questions written by AWS, with explanations. Search for "Official Practice Question Set" plus the exam code.
- Exam Prep Standard Courses (Skill Builder). Domain-by-domain review from AWS, with tips on how to approach the questions.
- AWS Free Tier . New accounts get $100 in credits at sign-up and can earn up to $100 more by completing short activities with Amazon EC2, Amazon RDS, AWS Lambda, Amazon Bedrock, and AWS Budgets. Those are exam topics anyway, so it's hands-on practice that pays you back. Start with the AWS Budgets activity so you have a cost alert from day one.
For Cloud Practitioner
- AWS Cloud Practitioner Essentials (Skill Builder). The official intro course. Great when you want a second explanation of something that didn't click.
- Whitepapers: Overview of Amazon Web Services and the AWS Well-Architected Framework . I skimmed these for the big ideas rather than reading every page.
For AI Practitioner
- The free AI foundational training in the AIF-C01 Exam Prep Plan (Skill Builder), covering ML and generative AI basics, prompt engineering, responsible AI, and security for AI.
- The Amazon Bedrock text playground. Sending a few prompts and changing settings like temperature made the GenAI questions much easier to reason about.
What to focus on
Cloud Practitioner (CLF-C02)
A lot of questions boil down to "which service fits this use case?" These came up again and again in my prep:
| If the question is about... | Think... |
|---|---|
| Virtual servers | Amazon EC2 |
| Running code without managing servers | AWS Lambda |
| Object storage | Amazon S3 |
| Block storage for EC2 | Amazon EBS |
| Managed relational databases | Amazon RDS / Amazon Aurora |
| Serverless NoSQL database | Amazon DynamoDB |
| Content delivery network (CDN) | Amazon CloudFront |
| DNS | Amazon Route 53 |
| Who did what in your account (API activity) | AWS CloudTrail |
| Metrics, logs, and alarms | Amazon CloudWatch |
| DDoS protection | AWS Shield |
| Threat detection | Amazon GuardDuty |
| Compliance reports | AWS Artifact |
| Estimating costs before you build | AWS Pricing Calculator |
| Analyzing spend / cost alerts | AWS Cost Explorer / AWS Budgets |
Also make sure you're solid on:
- The shared responsibility model: AWS is responsible for security of the cloud, you're responsible for security in the cloud
- Pricing options: On-Demand, Savings Plans, Reserved Instances, and Spot Instances
- Global infrastructure: Regions, Availability Zones, and edge locations
- The six pillars of the AWS Well-Architected Framework
- AWS Support plans and what each one includes
AI Practitioner (AIF-C01)
AIF-C01 is less about memorizing services and more about understanding concepts and picking the right approach. Make sure you know:
- ML basics: supervised vs. unsupervised vs. reinforcement learning, training vs. inference, overfitting vs. underfitting, and metrics like accuracy, precision, recall, and F1 score
- Generative AI basics: tokens, embeddings, foundation models, hallucinations, and inference settings like temperature
- Customizing a model: when to use prompt engineering vs. retrieval-augmented generation (RAG) vs. fine-tuning, and how cost and effort change with each
- Prompting techniques: zero-shot, few-shot, chain-of-thought, and risks like prompt injection
- Responsible AI: bias, fairness, transparency, explainability, and human review
- Security and governance: IAM, encryption, data privacy, and logging for AI workloads
And the "which service?" pairs:
| If the question is about... | Think... |
|---|---|
| Using foundation models through an API | Amazon Bedrock |
| RAG over your own documents | Amazon Bedrock Knowledge Bases |
| Blocking harmful content or PII in GenAI apps | Amazon Bedrock Guardrails |
| Building, training, and deploying your own models | Amazon SageMaker AI |
| Detecting bias and explaining predictions | Amazon SageMaker Clarify |
| Sentiment and entities in text | Amazon Comprehend |
| Image and video analysis | Amazon Rekognition |
| Extracting text and data from documents | Amazon Textract |
| Speech to text / text to speech | Amazon Transcribe / Amazon Polly |
| Translation | Amazon Translate |
| Chatbots | Amazon Lex |
| Recommendations | Amazon Personalize |
Exam day tips
- Try the AWS Exam Demo on Pearson VUE's AWS page so the interface (flagging questions, the review screen) isn't new on exam day.
- Testing online? Run the system test ahead of time, clear your desk, keep your ID ready, and start check-in early.
- Never leave a question blank. Unanswered questions are scored as incorrect, and there's no penalty for guessing.
- Flag and move on. Answer what you know, flag what you don't, and come back at the end.
- Eliminate first. On foundational exams, one or two options are usually clearly wrong.
- Watch the keywords. Phrases like "MOST cost-effective" or "LEAST operational overhead" usually decide the answer.
- Non-native English speaker? You can request the ESL +30 accommodation in your AWS Certification account for 30 extra minutes on exams taken in English. Request it before you schedule.
Money-saving tips (especially for students)
- Use your 50% voucher. After you pass an AWS Certification exam, you get a 50% discount voucher for your next exam or a recertification. You'll find it in your AWS Certification account. Take CLF-C02 first, and your AIF-C01 exam costs half.
- AWS Student Rewards. If you're a verified university student (18+), Student Rewards on AWS Builder Center gives you 12 months of premium Skill Builder once you verify and complete your profile. As you earn Builder Center badges by publishing articles, commenting, and staying active, you unlock AWS credits and, at 21 badges, a voucher for a Foundational certification exam.
- Under 18? Teens aged 13–17 can take AWS Certification exams with a parent or legal guardian's consent (see the AWS Certification policies ). AWS Educate is also free for learners 13 and older and doesn't require an AWS account.
Final thoughts
Two months isn't a lot of time, but foundational exams are very doable with a plan: one solid course per exam, AWS's free material to fill the gaps, some real time in the console, and plenty of exam-style practice. You don't need to be older, or already working in tech, to get started.
If this helped, drop a comment with the certification you're working on. I'm happy to answer questions.
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