AI development is moving fast, but knowing how to call a model is only one part of the job. Real applications need reliable architecture, secure authentication, grounded answers, sensible model choices, manageable costs, and systems that can be monitored and maintained.Azure AI Services for Developers takes you into the practical engineering side of modern Azure AI development. Instead of stopping at basic tutorials, this book shows how the major pieces fit together and how to use them when building applications for real-world scenarios.Start by understanding the Azure AI platform, its models, task-specific services, resources, deployments, and development workflow. Then build your foundation with secure authentication, SDKs, configuration, error handling, and practical development patterns.From there, explore generative AI, structured outputs, streaming, prompt engineering, retrieval-augmented generation, hybrid search, semantic ranking, and agentic retrieval. Learn how language and document services can process PDFs, invoices, and contracts, and discover how vision, video, speech, synthesized voice, and multimodal capabilities can become part of complete applications.The journey continues into AI agents, tool calling, the Foundry Agent Service, Model Context Protocol, and multi-agent systems, followed by the production concerns developers cannot afford to ignore: security, responsible AI, evaluation, observability, tracing, feedback, deployment, and cost engineering.Whether you are a Python or C# developer, backend or full-stack engineer, data professional, technical lead, solution architect, or developer building an AI portfolio, this book provides a practical framework for understanding and applying Azure AI.Stop treating AI as a collection of disconnected APIs. Learn how the pieces work together, make better engineering decisions, and build Azure AI applications with production in mind.
