Foundations

The exam, the ML lifecycle on AWS, and the services every question assumes

• The MLA Exam: Blueprint, Logistics, Strategy — What the AWS Certified Machine Learning Engineer – Associate credential is, how the MLA-C02 revision changed it, and exactly how the exam is structured, scored, and scheduled. (4 lessons, 45 min)
• The ML Lifecycle on AWS — The lifecycle every exam question lives on — collect, prepare, train, deploy, operate — and the two engines that power it: SageMaker AI and Amazon Bedrock. (4 lessons, 55 min)
• The Supporting Cast: Data, Compute, and Pipes — The non-ML services the exam assumes you know cold: the storage family, the analytics yard, compute and containers, and the integration pipes that connect them. (4 lessons, 50 min)
• Exam Readiness: Reading Questions Like an Engineer — The capstone: how MLA questions are built, the keyword-to-service reflexes that answer most of them, the classic traps, and a final-week plan that ends at the testing center. (4 lessons, 45 min)