Exam Prep: AWS Certified Machine Learning Engineer

Module 1: Data Preparation for Machine Learning (ML)

• 1.1 Ingest and store data.
• 1.2 Transform data and perform feature engineering.
• 1.3 Ensure data integrity and prepare data for modeling

Module 2:ML Model Development

• 2.1 Choose a modeling approach.
• 2.2 Train and refine models.
• 2.3 Analyze model performance.

Module 3: Deployment and Orchestration of ML Workflows

• 3.1 Select deployment infrastructure based on existing architecture and requirements.
• 3.2 Create and script infrastructure based on existing architecture and requirements.
• 3.3 Use automated orchestration tools to set up continuous integration and continuous delivery (CI/CD) pipelines

Module 4: ML Solution Monitoring, Maintenance, and Security

• 4.1 Monitor model interference.
• 4.2 Monitor and optimize infrastructure costs.
• 4.3 Secure AWS resources.