## 4-Step Plan 1. [[#Get to Know the Exam-style Questions]] 2. [[#Refresh AWS Knowledge]] 1. AWS Builder Labs 2. AWS Cloud Quest 3. AWS Jam 3. [[#Review and Practice]] 4. Exam readiness ## Get to Know the Exam-style Questions - [x] Review [exam details page](https://aws.amazon.com/certification/certified-machine-learning-engineer-associate/) - [x] Review [[AWS Certified Machine Learning Engineer - Associate Exam Guide]] - [[AWS Certified machine Learning Engineer - Associate Practice Question Set]] ## Refresh AWS Knowledge - Review Whitepapers - [What is Machine Learning?(opens in a new tab)](https://aws.amazon.com/what-is/machine-learning/) - [Machine Learning Lens(opens in a new tab)](https://docs.aws.amazon.com/wellarchitected/latest/machine-learning-lens/machine-learning-lens.html) - [x] Courses in AWS Skill Builder - [x] AWS ML Engineer Associate Curriculum Overview - Collect, Ingest, and Store Data - Transform Data - Validate Data and Prepare for Modeling - Choose a Modeling Approach - Train Models - Refine Models - Analyze Model Performance - Select Development Infrastructure - Create and Script Infrastructure - Automate Deployment - Monitor Model Performance and Data Quality - Monitor and Optimize Infrastructure and Costs - Secure AWS ML Resources ## Review and Practice - Take *Domain Review course* - Take *Domain Practice course* - Complete *AWS Builder Labs* - Complete *AWS SimuLearn Challenges* ## Domains - [[Domain 1 - Data Preparation for Machine Learning]]