Additional resources
Good places to study alongside our practice questions. These are other people's sites: we don't run them and aren't affiliated with them.
Official exam information
Straight from AWS: what the exam covers and how it works.
AWS Certified Machine Learning Engineer – Associate (opens in a new tab)
aws.amazon.com
AWS's own page for the certification: who it is for, how to book, the format and key dates. MLA-C02 is in beta until general availability, so check the page before booking.
MLA-C02 exam guide (opens in a new tab)
docs.aws.amazon.com
The definitive list of what the exam covers: the four domains and their weightings and the skills under each. Our domains and topics follow it.
Free courses
Structured courses you can follow from the start, at no cost.
AWS Skill Builder (opens in a new tab)
skillbuilder.aws
AWS's own training site. Search for the Machine Learning Engineer – Associate exam prep plan; the standard prep course is free with a Skill Builder account.
Reference reading
For going deeper on the ideas behind the questions.
Amazon SageMaker AI Developer Guide (opens in a new tab)
docs.aws.amazon.com
Training jobs, tuning, endpoints, Pipelines, Model Registry, Model Monitor and Clarify. SageMaker AI runs through every domain of this exam.
Amazon Bedrock User Guide (opens in a new tab)
docs.aws.amazon.com
Model choice, knowledge bases, agents, guardrails, evaluations and model customization. MLA-C02 adds a lot of generative AI, and most of it is Bedrock.