Udemy — Practical RAG in C# with .NET 10 and Azure 2026-4

Description

Build a retrieval-augmented chat application in C# using the .NET 10 and Aspire stack named in the course. The project follows documents through ingestion, splitting, embedding and retrieval, then uses the retrieved text as context for a language-model response. It connects these stages with query handling, prompt construction and the management of information returned from search.

The local-first implementation uses Ollama to call local models from application code. Other lessons discuss Azure AI integration, tool calls and structured responses in a C# chat API. OpenTelemetry provides the observability component, helping learners follow what occurs across the application's retrieval and generation steps while developing document-search and question-answering features.

Intended audience: C# and .NET developers exploring document-grounded AI applications.

What you will learn

• Implement document ingestion, chunking, embeddings and retrieval in a C# application.
• Call local models through Ollama from the course's .NET and Aspire project.
• Add retrieved context, tool calls and structured results to a chat API.
• Introduce OpenTelemetry tracing concepts into an AI application.

Course specifications

Publisher

Udemy

Instructors

Siyavash Khojasteh

Language

English

Level

Beginner to Advanced

Duration

5 hours and 34 minutes

Lecture count

47

Subtitle

None

Quality

1080p

Edition

2026-4

Course topics

View course topics

Prerequisites

• Basic C# and .NET experience, such as creating an API or service.
• Familiarity with REST and JSON is helpful.
• Prior machine-learning or RAG knowledge is not required by the source.

Introduction video

Download resources

Choose one edition and keep its parts together. Alternate providers are available when listed.

Size

3.4 GB

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