Unlock the full potential of the Microsoft AI stack and evolve from an AI enthusiast to a professional architect with the most comprehensive guide to Azure's intelligence services. Azure-Powered Artificial Intelligence is your definitive, all-in-one resource for designing, deploying, and scaling secure, high-performance generative AI applications. Whether you are a developer looking to integrate LLMs or an enterprise architect building complex agentic systems, this book provides the step-by-step blueprint you need to master the frontier of artificial intelligence.
Inside, you will discover how to:
Architect Secure AI Infrastructure: Configure Azure OpenAI with enterprise-grade security using Virtual Networks (VNets), Private Links, and Managed Identities to ensure total data sovereignty.
Master Advanced RAG Patterns: Go beyond simple queries by building sophisticated Retrieval-Augmented Generation (RAG) pipelines using Azure AI Search and vector embeddings.
Build Autonomous Agents: Design next-generation agentic workflows that can reason, use tools, and collaborate using frameworks like the Microsoft Agent Framework and Semantic Kernel.
Implement Multi-modal Capabilities: Integrate vision and speech to create immersive applications that can "see" technical diagrams and "speak" with human-like prosody.
Operationalize with LLMOps: Establish a production-ready lifecycle with automated monitoring, prompt evaluation, and safety guardrails to maintain reliability at global scale.
Custom Model Engineering: Leverage Azure Machine Learning for fine-tuning, distributed training, and managing the lifecycle of bespoke foundation models.
Unlike fragmented tutorials or surface-level guides, this book delivers a deep-dive journey-blending rigorous technical theory with hands-on code and real-world best practices from the industry's leading experts. By the end, you won't just be using AI; you'll be orchestrating it as a strategic engine for innovation and organizational growth.