Course Overview
Learn how to develop generative AI apps in Microsoft Foundry
Moyens d'évaluation :
- Quiz pré-formation de vérification des connaissances (si applicable)
- Évaluations formatives pendant la formation, à travers les travaux pratiques réalisés sur les labs à l’issue de chaque module, QCM, mises en situation…
- Complétion par chaque participant d’un questionnaire et/ou questionnaire de positionnement en amont et à l’issue de la formation pour validation de l’acquisition des compétences
Prerequisites
Before starting this module, you should be familiar with fundamental AI concepts and services in Azure. Consider completing the Get started with artificial intelligence learning path first.
Course Content
Plan and prepare to develop AI solutions on Azure
- Introduction
- What is AI?
- Microsoft Foundry
- Foundry Tools
- Developer tools and SDKs
- Responsible AI
- Exercise - Prepare for an AI development project
- Module assessment
- Summary
Select, deploy, and evaluate Microsoft Foundry models
- Introduction
- Explore the model catalog
- Select models using benchmarks
- Deploy models to endpoints
- Evaluate model performance
- Exercise - Select, deploy, and evaluate models
- Knowledge check
- Summary
Develop a generative AI chat app with Microsoft Foundry
- Introduction
- Explore with the model playground
- Choose an endpoint and SDK
- Generate responses with the Responses API
- Generate responses with the ChatCompletions API
- Exercise - Create a generative AI chat app
- Knowledge check
- Summary
Develop generative AI apps that use tools
- Introduction
- What are tools?
- Use the code_interpreter tool
- Use the web_search tool
- Use the file_search tool
- Use the function tool
- Exercise - Create a generative AI chat app that uses tools
- Module assessment
- Summary
Optimize generative AI model performance with Microsoft Foundry
- Introduction
- Optimize model output with prompt engineering
- Ground your model with Retrieval Augmented Generation
- Fine-tune a model for consistent behavior
- Compare and combine optimization strategies
- Exercise - Optimize generative AI model performance
- Module assessment
- Summary
Implement a responsible generative AI solution in Microsoft Foundry
- Introduction
- Plan a responsible generative AI solution
- Map potential harms
- Measure potential harms
- Mitigate potential harms
- Manage a responsible generative AI solution
- Exercise - Apply guardrails to prevent the output of harmful content
- Module assessment
- Summary
Français
Anglais
Italien
Allemand
Polonais
ukrainien
Allemagne
Pays-Bas
Pologne
Ukraine
Arabie Saoudite
Emirats-Arabes-Unis
Moyens Pédagogiques :