AI for .NET Developers
Learn how to build practical AI-powered applications using C#, .NET, ASP.NET Core, LLM APIs, embeddings, RAG, tool calling, and production-ready AI architecture.
Prerequisites: Basic C#, .NET, ASP.NET Core and Web API knowledge
What you'll learn
- Explain how LLMs work and design prompts for reliable, structured responses.
- Integrate AI APIs into C# and ASP.NET Core applications using backend services.
- Use embeddings, vector search, and RAG to ground AI responses in application data.
- Connect AI models to application functions through tool and function calling.
- Design production-ready AI features with security, validation, observability, and cost controls.
Roadmap
Course Curriculum Overview
Progression: AI → ML → Deep Learning → Gen AI → LLMs → Prompting → Modern AI
Enroll to unlockAI Foundations
Understand modern AI, machine learning, generative AI, LLMs and how these technologies fit into traditional .NET applications.
LLMs & Prompting
Learn how LLMs process prompts and how .NET developers can design reliable instructions and structured outputs.
.NET + AI APIs
Build AI-powered backend functionality using C#, dependency injection, HTTP APIs and ASP.NET Core services.
Embeddings & RAG
Learn how embeddings and retrieval allow .NET applications to provide AI models with relevant enterprise knowledge.
AI Agents
Understand how AI systems can use tools and application functions to perform actions.
Production AI
Learn production concerns including security, observability, caching, cost control, reliability and validation.
AI Features
Build practical AI features such as document analysis, summarization, intelligent search and enterprise assistants.
AI Architecture
Bring together LLMs, RAG, tools, APIs and observability into scalable enterprise AI architectures.
Final Assessment
Complete all modules to unlock.