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Trusted by .NET developers building AI in production

.NET AI Engineering — No Python Required

Structured learning paths, end-to-end projects, and verified debugging fixes. Built by developers who ship AI-powered .NET to production.

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77 production-verified guides · Written by a Senior .NET Engineer with 13+ years experience

Semantic Kernel Agent Framework Azure OpenAI MCP C# SDK ML.NET Microsoft.Extensions.AI
New MCP C# SDK v1.0: .NET Auth and Tools
5
Learning Paths
16
Error Fixes
17
Build Projects
77+
Total Articles

Structured Learning Paths

Follow a guided path from beginner concepts to production-ready skills.

Beginner 12 lessons

Structured Learning Path

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

Beginner 8h total 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.

Inside This Path

  • 1 Your First AI App in .NET: Make One API Call and See What Happens
  • 2 Microsoft.Extensions.AI: IChatClient Guide
Start Path
Intermediate 9 lessons

Structured Learning Path

.NET AI with Semantic Kernel

Intermediate 12h total 9 lessons

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

Inside This Path

  • 1 What Is Semantic Kernel? C# Guide
  • 2 Semantic Kernel .NET Setup: 30-Minute Guide
Start Path
Intermediate 6 lessons

Structured Learning Path

AI Agents in C# and .NET

Intermediate 14h total 6 lessons

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

Inside This Path

  • 1 Build Your First AI Agent in C# with Semantic Kernel (Hands-On)
  • 2 Microsoft Agent Framework for .NET: Architecture, MCP & Deployment Guide
Start Path
Advanced 5 lessons

Structured Learning Path

Production AI Engineering

Advanced 10h total 5 lessons

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

Inside This Path

  • 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
Start Path
Beginner 3 lessons

Structured Learning Path

Machine Learning in C# with ML.NET

Beginner 8h total 3 lessons

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

Inside This Path

  • 1 What Is ML.NET? Machine Learning in C# for .NET Developers
  • 2 ML.NET Sentiment Analysis in C#: Predictive Analytics Tutorial
Start Path
View all learning paths →

Explore by format

Build projects, fix errors, or stay current — each pillar serves a specific developer need.

Hospital

Fix real errors fast. Verified debugging solutions sourced from GitHub Issues, StackOverflow, and production incidents.

Workshop

Build complete projects end-to-end. Step-by-step tutorials that ship real AI-powered .NET applications.

News

Stay current with .NET + AI ecosystem releases, industry shifts, and what they mean for .NET developers.

Trending This Week

Hot topics across the .NET + AI ecosystem

Azure OpenAI 429 in C#: Retry-After Fix MEAI vs Semantic Kernel vs Agent Framework Semantic Kernel Architecture: How the Kernel, Plugins & Pipeline Work Azure.AI.OpenAI v2 Migration: Fix Every C# Break

Latest Releases

Stay current with the .NET + AI tooling ecosystem

Mar 2026

MCP C# SDK v1.0: .NET Auth and Tools

ModelContextProtocol v1.0 for .NET adds auth discovery, tool sampling, and async requests. See what changes for Semantic Kernel apps.

Mar 2026

Microsoft Agent Framework RC: .NET Migration

What changed in Microsoft Agent Framework RC for .NET: frozen APIs, MCP tools, multi-agent orchestration, and Semantic Kernel migration steps.

Feb 2026

GPT-5 and o-Series Models: What Changes for .NET AI Apps

GPT-5, o1, o3, o4-mini: improved tool calling, structured output, and 1M+ context windows. What .NET developers need to update in Azure OpenAI + Semantic Kernel.

Feb 2026

Open-Source LLMs in .NET: Run Llama 3, DeepSeek & Qwen Locally in C#

Run Llama 3, DeepSeek, and Qwen locally in C# via Ollama and ONNX Runtime. No cloud APIs, no inference costs — full offline AI in .NET.

Recently Fixed Errors

Verified debugging solutions for real-world production issues

Azure OpenAI Content Filter Error: C# Fix

Source: From GitHub Issue

Fix Azure OpenAI Structured Output 400 Errors in C# (Schema + API Version)

Source: From StackOverflow

Azure OpenAI context_length_exceeded Fix

Source: From StackOverflow

Azure AI Search Vector Dimension Mismatch Fix

Source: From GitHub Issue