Deploying and managing models in Foundry

AI-901 · Building and deploying AI solutions · Updated

Create a Foundry project, deploy a model from the catalog, understand deployment types and TPM quotas, and test in the playground before calling it from an app.

This lesson is part of full AI-901 access

The first 2 AI-901 lessons are free. Full access opens every lesson with its practice questions, and the exam-style AI-901 question bank.

In this lesson
  • Resources and projects
  • Choosing a model
  • Deploying
  • Test, then integrate
  • Prompt engineering first
  • Exam traps
  • Practice questions

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AI-901 course outline

All 6 lessons · Course overview
  1. Azure Language and Speech in Foundry ToolsAzure AI services Free
  2. Azure Vision and Content UnderstandingAzure AI services Free
  3. Generative AI workloads and responsible AIAI models and agents Full access
  4. Foundry agents, instructions and promptingAI models and agents Full access
  5. Calling Foundry models from PythonBuilding and deploying AI solutions Full access
  6. Deploying and managing models in FoundryBuilding and deploying AI solutions Full access