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Unlock the Power of Agentic AI with C# and Microsoft Semantic Kernel

Are you a .NET developer ready to evolve from building static applications to architecting cognitive systems? The Core of AI Engineering is your definitive guide to mastering the Microsoft Semantic Kernel SDK.

This volume goes far beyond simple chatbots. It creates a bridge between the deterministic world of C# code and the probabilistic reasoning of Large Language Models (LLMs). Through rigorous theoretical foundations and production-ready code examples, you will learn to build Autonomous Agents that can plan, execute, and adapt.

What's Inside:

Deep Architecture: Master Dependency Injection, Connector Patterns, and the Kernel architecture to build modular, testable AI systems.
Native & Semantic Plugins: Teach your AI to interact with the real world by converting C# methods and APIs into intelligent tools.
Advanced Planning: Utilize Stepwise and Handlebars Planners to enable auto-orchestration of complex, multi-step workflows.
RAG & Memory: Build sophisticated Retrieval-Augmented Generation pipelines using Vector Stores and Kernel Memory to ground AI in your data.
Robust Engineering: Implement Filters, Hooks, and Circuit Breakers to handle hallucinations, enforce security, and ensure reliability.
Multi-Agent Systems: Orchestrate teams of specialized AI personas to solve complex problems collaboratively.
Capstone Project: Build a fully functional, desktop-native \"Jarvis\" assistant that interacts with Windows.

Whether you are connecting to Azure OpenAI or running local models via Ollama, this book provides the engineering patterns necessary to build enterprise-grade AI software. Stop writing scripts; start engineering intelligence.

Perfect for Senior Developers and Software Architects looking to define the future of .NET development.

Check also the other books in this series

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