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.