Azure Machine Learning, designer and automated ML

AI-900 · Machine learning · Updated

Understand the Azure Machine Learning workspace, designer pipelines, automated ML, and the steps from data to a deployed endpoint.

This lesson is part of full AI-900 access

The first 2 AI-900 lessons are free. Full access opens every lesson with its practice questions, and the exam-style AI-900 question bank.

In this lesson
  • Workspace and compute
  • Three ways to build a model
  • Designer pipeline
  • From model to application
  • Data labeling and other terms
  • Exam traps
  • Practice questions

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AI-900 course outline

All 7 lessons · Course overview
  1. The six responsible AI principlesAI workloads and responsible AI Free
  2. Common AI workloads and Azure servicesAI workloads and responsible AI Free
  3. Regression, classification and clusteringMachine learning Full access
  4. Azure Machine Learning, designer and automated MLMachine learning Full access
  5. Computer vision workloads and Azure VisionComputer vision Full access
  6. Language, speech and bot servicesNatural language processing Full access
  7. Generative AI, Azure OpenAI and FoundryGenerative AI Full access