AI-Powered Applications with .NET Fundamentals

AI-Powered Applications with .NET Fundamentals

Move beyond AI prototypes. Build production-ready intelligent applications with .NET 10.

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22 chapters
Programming & Development
2026
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From AI-Powered Applications with .NET Fundamentals

Table of Contents

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  • 1 Legal Notices
  • 2 About This Book
  • 3 Part I: Foundations
  • 4 Chapter 1: Introduction to AI-Powered Applications in .NET 10
  • 5 Chapter 2: Setting Up the Development Environment, Azure AI Foundry Connectivity, and Solution Structure
  • 6 Chapter 3: Core AI Building Blocks with Microsoft.Extensions.AI
  • 7 Part II: Core Application Integration
  • 8 Chapter 4: Integrating Semantic Kernel into Contoso Support Copilot
  • 9 Chapter 5: Prompt Design, Structured Output, and Schema Validation
  • 10 Chapter 6: Designing Testable AI Application Services and State Management
  • 11 Part III: Knowledge and Retrieval
  • 12 Chapter 7: Embeddings and Vector Search for the Support Knowledge Base
  • 13 Chapter 8: Implementing RAG with Azure AI Foundry, Grounding, and Safety Boundaries
  • 14 Chapter 9: Evaluating RAG Response Quality and Revising Prompts and Retrieval
  • 15 Part IV: Agents and Orchestration
  • 16 Chapter 10: Building Agents with Microsoft Agent Framework 1.0
  • 17 Chapter 11: Multi-Agent Orchestration for Complex Support Workflows
  • 18 Part V: Production Readiness
  • 19 Chapter 12: Observability, Testing, Performance Tuning, and Deployment
  • 20 Next Steps
  • 21 Part VI: Review Questions
  • 22 Answer Key
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