Skip to content
Marco's Learning

Enhanced Plan

Although we don’t require that you take any specific training before you take an exam, we do recommend that have the underlying training and knowledge outlined in the exam guide.

If you need to refresh your knowledge, enroll in the Enhanced Exam Prep Plan: AWS Certified Machine Learning Engineer - Associate (MLA-C01). The learning plan includes all of following the recommended courses. If you are already logged into AWS Skill Builder, use this link version to access the plan.

The plan.

Exams

Digital courses

  1. AWS ML Engineer Associate Curriculum Overview (45 minutes)

Domain 1: Data processing

  1. Collect, Ingest, and Store Data (1 hour)

  2. Transform Data (1 hour)

  3. Validate Data and Prepare for Modeling (45 minutes)

Domain 2: Model Development

  1. Choose a Modeling Approach (1 hour 30 minutes)

  2. Train Models (1 hour 30 minutes)

  3. Refine Models (2 hours)

  4. Analyze Model Performance (45 minutes)

Domain 3: Deployment and Orchestration of ML Workflows

  1. Select a Deployment Infrastructure (1 hour)

  2. Create and Script Infrastructure (1 hour 30 minutes)

  3. Automate Deployment (1 hour 15 minutes)

Domain 4: ML Solution Monitoring, Maintenance, and Security

  1. Monitor Model Performance and Data Quality (2 hours 30 minutes)

  2. Monitor and Optimize Infrastructure and Costs (2 hours 30 minutes)

  3. Secure AWS ML Resources (2 hours 15 minutes)

Other

  1. AWS ML Engineer Associate Curriculum Conclusion (10 minute)

  2. Planning a Machine Learning Project (30 minutes)

  3. Amazon Bedrock Getting Started (1 hour)

Experiential and game-based learning

  1. Train a Model with Amazon SageMaker (50 minutes)

  2. Orchestrate a Machine Learning Workflow using Amazon SageMaker Pipelines and SageMaker Model Registry (1 hour)

  3. Monitor a Model for Data Drift (1 hour)

  4. Machine Learning: Model Deployment Using Blue/Green Method (2 hours)

  5. Analyze and Prepare Data with Amazon SageMaker Data Wrangler and Amazon EMR (1 hour)

  6. AWS Cloud Quest: Machine Learning (time varies)