AI Engineering for .NET

Build production AI systems in C#, not in Python.

Nine courses from how a language model behaves to running agents and retrieval on Azure — every concept demonstrated in .NET, with cost, evaluation and failure modes treated as first-class.

13 terms in the AI Engineering for .NET glossary

1. Course 1

   AI Fundamentals

   How language models actually behave, assuming no prior AI knowledge. The prerequisite for everything else in the track.

   6 lessons

   beginner6 lessons · 90 min

2. Course 2

   Prompt Engineering

   System versus user prompts, few-shot examples, structured output, evaluation and prompt versioning — treated as code, not folklore.

   • Requires: AI Fundamentals

   beginnerComing soon

3. Course 3

   Embeddings & Vector Databases

   Vector representation, similarity, chunking, indexing, and how to choose a store you will not regret.

   • Requires: AI Fundamentals

   intermediateComing soon

4. Course 4

   RAG

   Retrieval pipelines end to end: chunking strategy, re-ranking, grounding, citation, and measuring whether any of it helped.

   • Requires: Embeddings & Vector Databases
   • Suggested: Prompt Engineering

   intermediateComing soon

5. Course 5

   Semantic Kernel

   Kernels, plugins, planners and memory — Microsoft’s orchestration layer, in idiomatic .NET.

   • Requires: Prompt Engineering
   • Suggested: RAG

   intermediateComing soon

6. Course 6

   Microsoft Agent Framework

   Agent primitives, tools, state and multi-agent coordination on Microsoft’s framework.

   • Requires: Semantic Kernel

   advancedComing soon

7. Course 7

   MCP (Model Context Protocol)

   Protocol design, building servers and clients in C#, and exposing tools that other people’s agents can call safely.

   • Requires: Prompt Engineering
   • Suggested: Semantic Kernel

   advancedComing soon

8. Course 8

   AI Agents

   Patterns, tool use, planning loops, guardrails, evaluation and the failure modes nobody demos.

   • Requires: Microsoft Agent Framework
   • Suggested: RAG

   advancedComing soon

9. Course 9

   Azure AI

   Azure OpenAI and AI Search in production: deployment, quotas, cost control and monitoring.

   • Requires: AI Fundamentals
   • Suggested: RAG

   advancedComing soon