AWS Certified Machine Learning Engineer — Associate (MLA-C01) — Study Hub
Blueprint-aligned MLA-C01 prep: overview, syllabus by domain, a high-yield ML-on-AWS cheat sheet, FAQs, a 30/60/90-day study plan, and practice. Start here for an efficient path to passing.
Meet your MLA-C01 home base. This hub pulls together everything you need to prepare efficiently—what’s tested, how to study, and where to practice—aligned to the official domain breakdown.
What you’ll find here
- Overview: exam format and timing, domains & weights, who should take it, and what to focus on.
- Study Plan: 30/60/90‑day schedules with weekly focus and practice integration.
- Syllabus: objective-by-objective breakdown organized by domain with quick links to drills.
- Cheatsheet: high-yield SageMaker + MLOps patterns, service pickers, and monitoring/security defaults.
- Practice: targeted drills and mixed sets to build pacing.
- FAQ: common questions on difficulty, prerequisites, and strategy.
- Resources: official AWS links, exam guide, and high-value docs.
Who this is for
Candidates who build, deploy, and operate machine learning solutions on AWS—especially with Amazon SageMaker—and want an associate-level, blueprint-aligned path to passing MLA-C01.
How to use this hub
- Start with the Study Plan (or Overview) to pick a realistic timeline.
- Work through the Syllabus domain-by-domain; drill after each task.
- Keep the Cheatsheet open while practicing to reinforce trade-offs and defaults.
- Finish with mixed sets in the Practice app, then review every miss.
Ready to train now? Open Practice →
In this section
- AWS MLA-C01 Study Plan (30 / 60 / 90 Days)
A practical MLA-C01 study plan you can follow: 30-day intensive, 60-day balanced, and 90-day part-time schedules with weekly focus by domain, suggested hours/week, and tips for using the Mastery Cloud practice app.
- MLA-C01 Cheatsheet — SageMaker, MLOps, Endpoint Types, Monitoring & Security (High Yield)
High-signal MLA-C01 reference: data ingestion/ETL + feature engineering, model selection/training/tuning/evaluation, SageMaker deployment endpoint choices, CI/CD and orchestration patterns, monitoring/drift/cost optimization, and security/governance essentials.
- MLA-C01 FAQ — Common Questions (AWS Machine Learning Engineer Associate)
Answers to common AWS Machine Learning Engineer Associate (MLA-C01) questions: difficulty, prerequisites, passing score, study time, what services to know, and how to prep efficiently.
- MLA-C01 Overview — Format, Domains & Who Should Take It
What to expect on AWS Certified Machine Learning Engineer — Associate (MLA-C01): exam format and timing, domain coverage and weights, question styles, recommended background, and an efficient study approach.
- MLA-C01 Practice — Drills & Mixed Sets
Open the practice app for AWS Certified Machine Learning Engineer — Associate (MLA-C01). Start with task-focused drills, then move to mixed sets and timed runs to build real exam pacing.
- MLA-C01 Resources — Official Links, Docs & High-Value References
Official AWS links and curated references for AWS Certified Machine Learning Engineer — Associate (MLA-C01): exam guide, SageMaker docs, MLOps resources, and architecture/monitoring/security references.
- MLA-C01 Syllabus — Objectives by Domain
Blueprint-aligned learning objectives for AWS Certified Machine Learning Engineer — Associate (MLA-C01), organized by domain with quick links to targeted practice.