Introduction¶
Learning Objectives¶
The workshop teaches you to build, evaluate, and deploy a retail copilot code-first on Azure AI. By the end of the workshop, you will learn to:
- Use the Retrieval Augmented Generation (RAG) pattern
(to ground responses in your own data). - Use Prompty with Azure AI Foundry for code-first development
(to take your copilot from prompt to production) - Use Azure Container Apps
for deployment (to get a hosted API endpoint for real-world use). - Use Dev Containers with GitHub Codespaces
(to get a consistent, reproducible environment across teams) - Use Azure Developer CLI with AI Application Templates
(to provision & deploy apps consistently across teams)
Learning Resources¶
- Prompty | Documentation 路 Specification 路 Tooling 路 SDK
- Azure AI Foundry | Documentation 路 Architecture 路 SDKs 路 Evaluation
- Azure AI Search | Documentation 路 Semantic Ranking
- Azure Container Apps | Azure Container Apps 路 Deploy from code
- Responsible AI | Overview 路 With AI Services 路 Azure AI Content Safety