University

Structured learning paths from AI fundamentals to production-grade .NET AI engineering. Work through each path in order — each builds on the last.

5 learning paths

52 hours of content

AI Foundations for .NET Developers — Generative AI, LLMs, and Prompt Engineering in C#

Beginner 8h · 12 lessons

A structured learning path for .NET developers starting with AI. Covers generative AI concepts, how LLMs work, prompt engineering in C#, and Microsoft.Extensions.AI — no Python required.

1 Your First AI App in .NET: Make One API Call and See What Happens 2 Microsoft.Extensions.AI: IChatClient, IEmbeddingGenerator & Middleware in .NET 3 Generative AI for .NET Devs: LLMs, Tokens & the C# AI Stack Explained 4 How LLMs Work: Tokens, Context Windows & Next-Token Prediction Explained 5 MEAI vs Semantic Kernel vs Agent Framework: Which .NET AI Library in 2026? 6 Prompt Engineering in C#: System Messages, Few-Shot & Structured Output 7 DI for AI Services in ASP.NET Core: IChatClient, Kernel & Keyed Services 8 LLM Providers for .NET Compared: OpenAI vs Azure vs Anthropic vs Gemini 9 Token Counting in C# for Azure OpenAI: Budget, Track & Prevent Overflow 10 Azure OpenAI Structured Outputs in C#: Guaranteed JSON Schema Compliance 11 Vector Databases for .NET Compared: Cosmos DB, AI Search, Qdrant & pgvector 12 Run Phi-4 Locally in C#: Ollama vs ONNX vs Foundry Local (Benchmarked)

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.NET AI with Semantic Kernel

Intermediate 12h · 9 lessons

Plugins, memory, orchestration, and the full Semantic Kernel SDK from setup to production.

1 What Is Semantic Kernel? Beginner Guide for .NET Developers 2 Semantic Kernel .NET Setup: NuGet to Streaming Chat in 30 Minutes 3 Build Semantic Kernel Plugins in C#: [KernelFunction] + DI + Auto Calling 4 Semantic Kernel Memory + Vector Stores: Azure AI Search & Cosmos DB in C# 5 Semantic Kernel Filters: Add Caching, Logging & Safety to AI Calls in C# 6 Migrate Semantic Kernel Agents → Microsoft Agent Framework (.NET) 7 SK Planners Are Deprecated — Migrate to Auto Function Calling (C# Code) 8 Manage Semantic Kernel ChatHistory in C#: Sliding Window, Summarization & Cosmos DB 9 Semantic Kernel Streaming in C#: Token Tracking, Content Filters & Blazor

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AI Agents in C# and .NET

Intermediate 14h · 6 lessons

Step-by-step AI agent tutorials in C#: architecture, Semantic Kernel patterns, Microsoft Agent Framework, multi-agent orchestration, and MCP integration.

1 Build Your First AI Agent in C# with Semantic Kernel (Hands-On) 2 Microsoft Agent Framework for .NET: Architecture, MCP & Deployment Guide 3 AI Agent Architecture in .NET: Single-Agent, Orchestrator & Group Chat Patterns 4 MCP in .NET: Build and Consume Tool Servers with C# SDK v1.0 5 Build an MCP Server in C# with ModelContextProtocol.AspNetCore 6 Build a Multi-Agent System in .NET with Microsoft Agent Framework

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Production AI Engineering

Advanced 10h · 5 lessons

Resilience, observability, cost optimization, and deployment patterns for AI-powered .NET apps.

1 Securing .NET AI Apps: Key Vault, PII Filtering & Prompt Injection Defense 2 AI Workflow Patterns in .NET: Chaining, Fan-Out, Human-in-the-Loop & Agents 3 OpenTelemetry for AI Apps in .NET: Trace Semantic Kernel + Track Token Costs 4 Cut Azure AI Costs in C#: Token Budgets, Model Routing & Semantic Cache 5 Azure.AI.OpenAI v1 → v2 Migration in C#: Every Breaking Change + Fix Table

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Machine Learning in C# with ML.NET

Beginner 8h · 3 lessons

Learn ML.NET with practical C# tutorials for predictive analytics: classification, regression, ONNX models, and production pipelines without Python.

1 What Is ML.NET? Machine Learning in C# for .NET Developers 2 ML.NET Sentiment Analysis in C#: Predictive Analytics Tutorial 3 Run ONNX Models in .NET: HuggingFace Embeddings & Phi-3 Without Azure

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