Developing a Custom Retrieval-Augmented Generation (RAG) Application Using Microsoft Foundry
This is a practical, end-to-end learning experience designed to help professionals build reliable and accurate AI applications using Retrieval-Augmented Generation.
- Intermediate
- 6 hours
- Cloud and AI Platform
One day, guided
A single facilitated day. Every challenge validates automatically, so the room self-paces and the leaderboard settles itself. No jury needed.
Bookable now · we reply within one business day
Solution play
Innovate with Azure AI Apps and Agents
Overview
The lab guides participants through creating a custom RAG solution with the Microsoft Foundry SDK, starting from project setup and model deployment through to vector indexing and retrieval. By integrating Azure AI Search for grounded responses and Azure Monitor for unified observability, participants learn how to reduce hallucinations and improve response relevance.
What participants work through
- Configuring Microsoft Foundry SDK, projects, and connected resources
- Building end-to-end RAG pipelines: ingestion, embedding, retrieval, and generation
- Integrating OpenTelemetry and Azure Monitor for observability
- Using Azure AI Evaluators to assess relevance, coherence, and groundedness
- Optimizing prompts and parameters for improved output quality
Technology stack
Azure OpenAIMicrosoft FoundryAzure AI SearchAzure FunctionsAzure MonitorAzure StorageRun this with your teams
Environments, coaching, judging and reporting, all handled.