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C# & AI Masterclass: The Core of AI Engineering: Microsoft Semantic Kernel & Agentic Patterns.
Evolve from building static applications to architecting sophisticated cognitive systems. Master the Microsoft Semantic Kernel to bridge deterministic C# code with LLM reasoning. Build autonomous agents that plan, execute, and adapt using advanced enterprise patterns. Stop writing scripts and start engineering the future of intelligent .NET software.
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About
About the Book
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.
Get the complete discounted "C# & Ai Masterclass" 10-Volumes set!
Table of contents
Chapter 1: Introduction to Semantic Kernel (SK) for .NET
Chapter 2: Configuring the Kernel - Azure OpenAI vs Ollama
Chapter 3: Prompt Templates and Semantic Functions
Chapter 4: The ChatCompletion Service
Chapter 5: Connector Handling and Dependency Injection
Chapter 6: Native Functions - Calling C# Code from LLMs
Chapter 7: Converting Existing APIs into Plugins
Chapter 8: The Handlebars Template Engine for Prompts
Chapter 9: Prompt Engineering Techniques in C# (Few-Shot, CoT)
Chapter 10: YAML Prompts and Serialization
Chapter 11: The Planner Concept - Auto-Orchestration
Chapter 12: Stepwise Planner vs Handlebars Planner
Chapter 13: Creating Autonomous Agents with Loops
Chapter 14: Multi-Agent Systems - The Persona Pattern
Chapter 15: Handling Hallucinations and Errors in Plans
Chapter 16: TextMemory and Volatile Memory Store
Chapter 17: Building a RAG Pipeline with Kernel Memory
Chapter 18: Chunking Strategies for PDF/Text
Chapter 19: Filters and Hooks - Intercepting Agent Thoughts
Chapter 20: Capstone - Building a Full 'Jarvis' Assistant for Windows
If printed, this ebook would span over 300 pages. Each chapter is structured into theoretical foundations, an annotated basic example, an annotated advanced example, and five coding exercises based on real-world scenarios with complete solutions.
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Author
About the Author
Edgar Milvus
A veteran software engineer with 20 years of experience, I have dedicated my career to the art of automation. My philosophy is simple: programming should eliminate repetitive chores to unlock human creativity. This journey began early on with the development of custom code-generation tools and has evolved into a deep mastery of LLMs and their APIs. Today, I specialize in architecting AI-driven solutions that handle everything from complex coding and security tasks to advanced knowledge retrieval, transforming the way we interact with technology
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