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Machine Learning on AWS Specialization

Build, train, and deploy machine learning models using AWS ML services.

ML Pipeline​

Data Preparation

Clean, transform, and prepare data using AWS Glue and SageMaker.

Prepare Data

Model Development

Build and train ML models using SageMaker notebooks and algorithms.

Build Models

Model Deployment

Deploy models for real-time and batch inference at scale.

Deploy Models

MLOps

Implement ML operations for continuous integration and deployment.

Learn MLOps

What You'll Master​

  • SageMaker Studio - Complete ML development environment
  • AutoML - Automated machine learning with SageMaker Autopilot
  • Model Monitoring - Track model performance and data drift
  • Feature Engineering - Build and manage feature stores

Master Machine Learning

Start your ML journey and build intelligent, data-driven applications.

Start ML Journey