Five lessons, learn how to really apply AI to your .NET Applications
2.9k
Stars
2.1k
Forks
8
Open issues
29
Contributors
AI Analysis
A hands-on educational course teaching .NET developers how to build Generative AI applications using Azure AI services, Semantic Kernel, and the Microsoft Agent Framework. It serves .NET developers specifically who want practical, real-world training in integrating generative AI into their applications—not a general-purpose AI library, but a structured curriculum with live coding samples and lessons.
Inferred from signals mentioned in the README (tests, CI, type safety) — not a review of the actual code.
AI's overall editorial judgment — not an average of the bars above, can weigh other factors too.
Microsoft's .NET-focused GenAI training course with hands-on samples and Agent Framework integration
A free, educational repository teaching .NET developers how to build generative AI applications. It consists of five lessons with video content, code samples, and integration examples using Azure OpenAI, Microsoft Foundry, and Ollama. Designed as a learning resource rather than a production framework. Created January 2025, gaining steady but modest stars (~15/week). Primarily serves .NET developers new to GenAI, with active maintenance through June 2026.
Launched January 2025 as part of Microsoft's broader 'Generative AI for Beginners' educational series (which includes Python, JavaScript, and other variants). Complements the main Python-based course (112k stars) by providing .NET-specific examples and integration patterns. Positions itself as hands-on and practical rather than theoretical.
Grew to 2,832 stars in ~18 months at a steady but modest rate (15 stars/week). Growth appears driven by: (1) Microsoft's backing and discoverability within their education initiative, (2) .NET ecosystem reaching for GenAI resources, (3) regular content updates (e.g., Agent Framework v1.0 GA in April 2026, Claude integration samples). No viral adoption pattern; consistent, deliberate growth aligned with release cycles.
Adoption not verified. This is explicitly an educational course repository, not a production framework or library. Real-world usage would mean .NET teams using code samples or patterns from the course in their own projects, which is not documented. GitHub forks (2,055) suggest some reuse, but no case studies, company deployments, or adoption metrics visible in README.
Appears to be a course repository containing multiple sample projects organized by topic (CoreSamples, MAF samples, etc.). Likely uses C# with Azure OpenAI SDK, Microsoft Agent Framework, and Ollama integrations based on README references. README emphasizes 'live coding' and 'real-world applications' but lacks architectural diagrams or detailed design documentation visible in excerpt.
Not documented in README excerpt provided. Unclear whether samples include unit tests or integration tests.
Last push 2026-06-01 (~1 month before analysis date of 2026-07-03) indicates active, recent maintenance. README 'What's New' section updated through April 2026 showing tracked improvements (MAF v1.0 GA, Claude integration, hosted agent scenarios). No signs of abandonment; appears to follow a content-update rhythm tied to Microsoft framework releases rather than daily commits.
ADOPT IF: You are a .NET developer new to generative AI and benefit from structured, hands-on lessons with working code samples and video explanations. AVOID IF: You need production framework documentation, API reference, or runtime library support; this is a course, not a framework. MONITOR IF: You want to stay current with Microsoft's Agent Framework and GenAI patterns for .NET; course updates track framework releases and introduce new integration scenarios.
Independent dimensions
Mainstream potential
3/10
Technical importance
5/10
Adoption evidence
2/10
- Educational content may lag behind underlying framework changes (e.g., breaking changes in Microsoft Agent Framework v1.0 noted in README; samples required migration).
- Tightly coupled to Microsoft services (Azure OpenAI, Microsoft Foundry) with only secondary support for local models (Ollama); limits applicability for teams using other LLM providers.
- No evidence of community-driven contributions or third-party maintainers; sustainability depends on Microsoft's commitment to the 'Beginners' series.
- 2,832 stars is modest; unclear whether course materials reach target .NET audience or if adoption is spread too thin across Python, JavaScript, and other variants.
- Test coverage and code quality of samples not documented; examples may not reflect production-ready patterns or error handling best practices.
Likely to remain a stable, incrementally updated educational resource tied to Microsoft Agent Framework release cycles. Will grow slowly as .NET adoption of GenAI increases, but unlikely to reach the star counts of the Python variant due to .NET's narrower ecosystem size. May consolidate into broader Microsoft Learn platform if Microsoft shifts educational strategy.
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Languages
Information
- Website
- https://aka.ms/genainet
- Language
- C#
- License
- MIT
- Last updated
- 1mo ago
- Created
- 18mo ago
- Analyzed with
- anthropic/claude-haiku-4-5
Stars over time
Contributors over time
Top 100 contributors only — repos with more will plateau at 100.
Open issues
Code Cleaning suggestion.
OpenAI-FileProcessing-Pdf-01 samples is not in the repository, yet it is referenced
Video samples files seem to be missing. Needed for Vision-03MEAI-AOAI
Use of deprecated Microsoft.Extensions.AI.Ollama package in official samples
Open pull requests
Top contributors
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| Repository | Stars | Week Δ | Language | Score | Updated |
|---|---|---|---|---|---|
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this
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Same conceptual series but Python-focused; 112k stars vs. 2.8k, indicating broader Python GenAI learner base. .NET version is a parallel track, not a replacement.
Broader AI fundamentals course; 51k stars. .NET course is narrower (GenAI-only) and more hands-on with live samples.
68k stars, Python/Jupyter-based; covers multi-agent systems. .NET course includes Agent Framework samples but is not agent-exclusive.
1.4k stars, C#-focused samples gallery. .NET GenAI course complements this with structured lessons and video content.
Not direct competitors; those are runtime libraries. This course teaches how to use such libraries; it educates rather than abstracts.
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