This video course walks you through the entire machine learning lifecycle, from defining the problem to deployment and monitoring. You'll gain skills that sharpen your decision-making, give you a competitive edge, and keep your career future-proof as AI keeps evolving. Whether you're prepping for the AI-300 exam or just trying to ship ML systems that don't fall apart, this course gives you the blueprint you need.

This certification covers the following topics:

  • The Machine Learning Lifecycle: Planning Beyond the Algorithm
  • Defining the Problem: Getting Requirements Right
  • Data Acquisition and Preparation: The Messy Middle
  • Data Storage: Designing the Foundation
  • Data Ingestion Solutions: Architecture Before Code
  • The Model Training Workflow: A Disciplined Sequence
  • Choosing the Right Training Service
  • Selecting Compute Resources: Matching the Workload
  • Deployment and Integration: Going Live Without the Drama