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Erscheint vorauss. 30. Juni 2026
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  • Broschiertes Buch

Companies are now moving generative AI projects from the lab to production environments. To support these increasingly sophisticated applications, they're turning to advanced practices such as multiagent architectures and complex code-based frameworks. This practical handbook shows you how to leverage cutting-edge techniques using Microsoft's powerful ecosystem of tools to deploy trustworthy AI systems tailored to your organization's needs. Written for and by AI professionals, Generative AI on Microsoft Azure goes beyond the technical core aspects, examining underlying principles, tools, and…mehr

Produktbeschreibung
Companies are now moving generative AI projects from the lab to production environments. To support these increasingly sophisticated applications, they're turning to advanced practices such as multiagent architectures and complex code-based frameworks. This practical handbook shows you how to leverage cutting-edge techniques using Microsoft's powerful ecosystem of tools to deploy trustworthy AI systems tailored to your organization's needs. Written for and by AI professionals, Generative AI on Microsoft Azure goes beyond the technical core aspects, examining underlying principles, tools, and practices in depth, from the art of prompt engineering to strategies for fine-tuning models to advanced techniques like retrieval-augmented generation (RAG) and agentic AI. Through real-world case studies and insights from top experts, you'll learn how to harness AI's full potential on Azure, paving the way for groundbreaking solutions and sustainable success in today's AI-driven landscape. * Understand the technical foundations of generative AI and how the technology has evolved over the last few years * Implement advanced GenAI applications using Microsoft services like Azure AI Foundry, Copilot, GitHub Models, Azure Databricks, and Snowflake on Azure * Leverage patterns, tools, frameworks, and platforms to customize AI projects * Manage, govern, and secure your AI-enabled systems with responsible AI practices * Build upon expert guidance to avoid common pitfalls, future-proof your applications, and more
Autorenporträt
Adrian Gonzalez Sanchez is a Global AI Specialist at Microsoft, as well as the Industrial AI Lead for the Spanish Observatory of Ethical AI (OdiseIA). He has previously worked with CGI Canada, IVADO Labs, Peritus.ai, and other data-driven companies in Europe and Latin America. He is a trainer for the École des Dirigeants at HEC Montréal and IE Business School, and he has authored online courses for O'Reilly Media, The Linux Foundation, and DeepLearning.ai. He also collaborates with 2U / GetSmarter for MIT Sloan's AI and Blockchain executive courses, and Harvard VPAL's Fintech course.