Azure AI With .NET Development Book With Interview Questions And Answers

Azure AI With .NET Development Book With Interview Questions and Answers

Build practical AI-powered applications using Microsoft Azure C# and .NET.

This book provides a practical guide for software developers, students, and aspiring AI engineers who want to integrate artificial intelligence into .NET applications and build intelligent solutions on Microsoft Azure. Progress from foundational concepts to AI engineering, secure application development, cloud deployment real-world projects.

• Azure and .NET Development: C#, ASP.NET Core, REST APIs, Azure hosting, storage, databases, and networking.

• Generative AI Integration: Azure AI services, Azure OpenAI, large language models (LLMs), prompt engineering, system instructions, structured outputs, function calling, and tool integration.

• Modern AI Engineering: AI chatbots, embeddings, semantic search, vector databases, Retrieval-Augmented Generation (RAG), AI agents, and automated workflows.

• Practical AI Applications: Document processing, information extraction, multimodal AI, SQL databases, business data integration, knowledge assistants, and AI-powered business applications.

• Production-Ready Solutions: Security, authentication, authorization, responsible AI, privacy, testing, evaluation, deployment, monitoring, performance, cost optimization, and scalable architecture.

• Career Preparation: Technical interview questions and answers

This book is intended for C# and .NET developers, software engineers, students, aspiring AI engineers, and professionals preparing for Azure, .NET, and AI interviews. It connects AI concepts with practical implementation, architecture, security, testing deployment.

Chapter 1 Introduction to Azure .NET and Artificial Intelligence

Chapter 2 Setting Up the Development Environment for Azure and .NET AI

Chapter 3 C# and .NET Fundamentals for AI Development

Chapter 4 Building Web Applications and REST APIs with ASP.NET Core

Chapter 5 Microsoft Azure Fundamentals for .NET Developers

Chapter 6 Azure App Hosting Storage Databases and Networking

Chapter 7 Artificial Intelligence Machine Learning and Generative AI Fundamentals

Chapter 8 Introduction to Azure AI Services

Chapter 9 Integrating Azure OpenAI with C# and .NET

Chapter 10: Prompt Engineering and System Instructions for AI Applications

Chapter 11 Structured Outputs Function Calling and Tool Integration

Chapter 12 Building AI Chatbots with ASP.NET Core

Chapter 13 Embeddings Semantic Search and Vector Databases

Chapter 14 Retrieval-Augmented Generation (RAG) with .NET and Azure AI Search

Chapter 15 Building AI Agents and Automated Workflows with .NET

Chapter 16 Document Processing and Information Extraction with Azure AI

Chapter 17 Multimodal AI Applications Using Text Images and Audio

Chapter 18 Connecting AI Applications to SQL Databases and Business Data

Chapter 19 AI Application Security Authentication Authorization

Chapter 20 Responsible AI Privacy Content Safety Data Protection

Chapter 21 Testing, Debugging and Evaluating AI Applications

Chapter 22 Deploying .NET and AI Applications to Microsoft Azure

Chapter 23 Monitoring, Logging Performance and Cost Optimization

Chapter 24 Scalable AI Application Architecture and Enterprise Integration

Chapter 25 Building an End-to-End AI-Powered Knowledge Assistant

Chapter 26 Building an AI-Powered Business Application with .NET and Azure

Chapter 27 Advanced Azure .NET AI Development Techniques

Chapter 28 Real-World Projects and Practical Exercises

Chapter 29 Azure .NET AI Interview Questions and Answers

Chapter 30 Career Roadmap and Future Opportunities in Azure AI Development