MLA-C01

AWS Certified Machine Learning Engineer - Associate

Prepare for the MLA-C01 exam and validate your ability to build, deploy, and maintain ML solutions.

76 lessons
12h 40m
4 modules
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Course Content

4 modules · 76 lessons

Module 1: Data Preparation for ML

Ingest, transform, and prepare data for modeling. (28% of exam)

Data Ingestion

Ingest and store ML data.

Feature Engineering

Transform data and engineer features.

Data Integrity

Ensure data quality and compliance.

Advanced Data Prep

Advanced data preparation techniques.

Module 2: ML Model Development

Choose, train, and analyze ML models. (26% of exam)

Modeling Approach

Choose appropriate ML models.

Model Training

Train and refine ML models.

Model Analysis

Analyze and evaluate model performance.

Advanced Training

Advanced model training techniques.

Module 3: Deployment and Orchestration

Deploy models and orchestrate workflows. (22% of exam)

Deployment Infrastructure

Select deployment infrastructure.

ML Infrastructure

Create and manage ML infrastructure.

CI/CD for ML

Set up ML pipelines and CI/CD.

Advanced Deployment

Advanced deployment strategies.

Module 4: ML Monitoring and Security

Monitor, optimize, and secure ML solutions. (24% of exam)

Model Monitoring

Monitor model inference.

Infrastructure Optimization

Optimize ML infrastructure and costs.

ML Security

Secure ML resources.

Troubleshooting ML

Troubleshoot ML systems.

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