How to prepare for AWS Certified Machine Learning Engineer Associate?

How to prepare for AWS Certified Machine Learning Engineer Associate?

The preparation materials you need to pass the AWS Machine Learning Engineer Associate Certification (MLA-C01).

Published Oct 31, 2024
I used the study materials from AWS Skill Builder along with this Udemy course taught by Nikolai Schuler who is a Mathematician & Data Scientist https://www.udemy.com/share/10bQQ13@5nJo8iKi0VNQ0_xo4cezBWO7YWqJGGLwA9JE9B1j-PxdiBOvfo1YrAkpXSsFijv-
In 2024, I have passed the AWS certifications in the following order:
1) AWS AI Practitioner (October)
2) AWS Machine Learning Engineer Associate (October)
AWS Certified Machine Learning Engineer - Associate (MLA-C01) Exam Guide https://d1.awsstatic.com/training-and-certification/docs-machine-learning-engineer-associate/AWS-Certified-Machine-Learning-Engineer-Associate_Exam-Guide.pdf
• Domain 1: Data Preparation for Machine Learning (ML) (28%)
• Domain 2: ML Model Development (26%)
• Domain 3: Deployment and Orchestration of ML Workflows (22%)
• Domain 4: ML Solution Monitoring, Maintenance, and Security (24%)
The exam also validates a candidate’s ability to complete the following tasks:
• Ingest, transform, validate, and prepare data for ML modeling.
• Select general modeling approaches, train models, tune hyperparameters, analyze model performance, and manage model versions.
• Choose deployment infrastructure and endpoints, provision compute resources, and configure auto-scaling based on requirements.
• Set up continuous integration and continuous delivery (CI/CD) pipelines to automate orchestration of ML workflows.
• Monitor models, data, and infrastructure to detect issues.
• Secure ML systems and resources through access controls, compliance features, and best practices.
 

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