| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1. Welcome.mp4 | 8.9 MB | ||
| 10. Adding System Instructions to the LLM.mp4 | 21.9 MB | ||
| 11. Calling Local Functions.mp4 | 62.2 MB | ||
| 12. Unit Testing LLMs.mp4 | 38.4 MB | ||
| 13. Evaluating Quality.mp4 | 74.8 MB | ||
| 14. Evaluating Natural Language Processing.mp4 | 39.3 MB | ||
| 15. Introducing IEmbeddingGenerator.mp4 | 11.3 MB | ||
| 16. Use IEmbeddingGenerator to Vectorize Text.mp4 | 56.5 MB | ||
| 17. Retrieve Embeddings to Complete our RAG.mp4 | 48.8 MB | ||
| 18. Introducing Vector Store.mp4 | 17.8 MB | ||
| 19. Adding a Vector Store.mp4 | 62.8 MB | ||
| 2. What will you learn in this course.mp4 | 10.7 MB | ||
| 20. Unit Testing IEmbedingGenerator and VectorStore.mp4 | 51.3 MB | ||
| 21. Introducing IImageGenerator.mp4 | 11.3 MB | ||
| 22. Adding an Image Generator.mp4 | 61.8 MB | ||
| 23. Unit Testing IImageGenerator.mp4 | 53.3 MB | ||
| 24. Introducing Microsoft.Maui.Essentials.AI.mp4 | 22 MB | ||
| 25. Implementing Apple Intelligence.mp4 | 49.3 MB | ||
| 26. Introducing Cloud-based LLMs.mp4 | 7.9 MB | ||
| 27. Using Microsoft Foundry.mp4 | 40.9 MB | ||
| 28. Using AWS Bedrock.mp4 | 20.8 MB | ||
| 29. Conclusion.mp4 | 12.7 MB | ||
| 3. Who is the course for and prerequisites.mp4 | 12.4 MB | ||
| 4. Using Local LLMs.mp4 | 8.2 MB | ||
| 5. Installing Ollama.mp4 | 6.4 MB | ||
| 6. Downloading Local LLMs.mp4 | 15.8 MB | ||
| 7. Introducing IChatClient.mp4 | 14.1 MB | ||
| 8. Creating a Chat Client.mp4 | 63.8 MB | ||
| 9. Preserving Chat History.mp4 | 37.6 MB | ||
| Bonus Resources.txt | 102.4 B |
From Zero to Hero: Microsoft.Extensions.AI in .NET
https://WebToolTip.com
Released 5/2026
By Brandon Minnick
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: From Zero to Hero | Genre: eLearning | Language: English | Duration: 29 Lessons ( 3h 34m ) | Size: 944 MB
Master the main AI abstraction library for .NET AI development
AI is no longer a side project or a research curiosity, it's becoming a core part of how modern applications are built, and .NET developers need a practical way in. This course is your hands-on introduction to AI engineering in C#, built around the Microsoft.Extensions.AI libraries that give you clean, provider-agnostic abstractions over the full AI stack. The two main themes in this course are building real AI features and making sure they actually hold up under testing. You can expect a deep dive into running local LLMs with Ollama, creating a chat client with IChatClient that preserves history, follows system instructions, and calls your own functions, all the way through to unit testing LLM-backed code and evaluating the quality of natural language responses. After that, there's a full section dedicated to ingesting data for Retrieval-Augmented Generation using IEmbeddingGenerator and vector stores, followed by a chapter on image generation with IImageGenerator. Finally, you'll learn how to work with on-device AI through Microsoft.Maui.Essentials.AI and Apple Intelligence, and how to take your solution to the cloud using Microsoft Foundry and AWS Bedrock.
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Dometrain - From Zero to Hero - From Microservices to Modular Monoliths Posted by
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