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Azure-Powered Artificial Intelligence: Hands-On Techniques for Creating Production-Ready AI Services in the Cloud

by Raymond Tech
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₹1,880.00
Original price ₹1,880.00
Original price ₹1,880.00
₹1,880.00
Current price ₹1,880.00

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Book cover type: Paperback
  • ISBN13: 9798246642092
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 130
  • Original Price: USD 17.99
  • Language: English
  • Edition: N/A
  • Item Weight: 159 grams
  • BISAC Subject(s): Artificial Intelligence / Natural Language Processing

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.

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