Engineer ML and GenAI on AWS. Pass MLA-C02.
Revision notes for the updated MLA-C02 — data preparation, SageMaker AI and Bedrock model development, RAG and agents, MLOps pipelines, monitoring and security — plus practice that explains every option and full-length timed mocks scored like the real exam.
The MLA-C02 exam at a glance
Official exam details from the AWS exam guide — the numbers our mock exams mirror.
Taking more than one exam? Add up the exam fees across every certification you plan to earn.
Who should take the MLA-C02?
MLA-C02 is an associate-level, role-based certification. There are no formal prerequisites, but AWS recommends hands-on experience — the questions are scenarios, not definitions.
You already build on AWS
You run real workloads and want the credential that matches the job you're already doing — and the salary conversations that come with it.
You're moving into a cloud role
The exam blueprint doubles as a job description. Studying it task statement by task statement is the fastest way to find and close your skill gaps.
You hold a foundational cert
The natural next step on the same platform: deeper services, scenario-based questions, and a credential employers screen for by name.
What’s on the MLA-C02 exam
Every lesson, question, and mock is weighted to match these official domains.
Data Preparation for ML and AI
Collecting and storing data for ML and AI, transforming it and engineering features, and validating data quality and managing bias — for traditional ML and foundation models alike.
ML Model and Foundation Model (FM) Development
Choosing modeling approaches — traditional ML, managed AI services, foundation models and RAG — then training, fine-tuning and customizing models, and evaluating ML and GenAI performance.
Deployment and Orchestration of ML and AI Workflows
Selecting deployment infrastructure for ML models, foundation models and agents, provisioning and scaling the resources behind them, and automating MLOps with CI/CD pipelines.
Operating, Monitoring, and Securing ML and AI Solutions
Monitoring models, agents and data in production, optimizing infrastructure and inference cost, and securing ML and AI workloads and endpoints.
How you’ll prepare for the MLA-C02
Three surfaces, one loop: read, drill, rehearse — repeat until your readiness score says book it.
Read the lessons
Work domain by domain through 12 plain-English revision lessons covering every task statement in the MLA-C02 exam guide — key terms, "what's tested" callouts, and takeaways.
Drill every topic
Work through 477 exam-realistic questions in learn mode to study, or quiz mode to test yourself. Every option explains why it’s right or why it’s a trap, with one click back to the lesson.
Rehearse the exam
Sit 3 full-length timed mocks weighted to the official domains and scored on the real MLA-C02 scale — so your mock result predicts your real one.
Exam in a few days? The MLA-C02 cheat sheet puts every lesson’s key takeaways and what’s tested on one page.
Start reading MLA-C02 lessons — no account needed
Open any of these in a new tab and judge the quality yourself. If the lessons don’t earn your time, don’t sign up.
One-time. Yours for good.
The exam costs $150 (beta: $75) — pass it once. Pro is a single payment, not a subscription.
- Every revision lesson
- 30 practice questions a day
- Cheat sheets & flashcards
- No account needed to start
- All revision lessons
- Full question bank
- All full-length mock exams
- Scaled-score readiness
- Weak-area study plan
- Unlimited practice
MLA-C02 questions, answered
Ready to pass the MLA-C02?
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