Exam Prep: AWS Certified Machine Learning Engineer – Associate (EPCMLEA) – Outline

Detailed Course Outline

Introduction

Domain 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.

Domain 2: ML Model Development

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

Domain 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.

Domain 4: ML Solution Monitoring, Maintenance, and Security

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

Course completion