AI-Powered Applications with .NET Fundamentals

From AI-Powered Applications with .NET Fundamentals

Table of Contents

4 of 22 chapters available · Premium unlocks the rest

• 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