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Beschreibung
Master building purpose-built generative and agentic AI solutions with Microsoft Foundry and the Agent Framework, integrate enterprise data, fine-tune OpenAI models, and deploy secure, production-grade copilots on Azure.
Key Features:
- Build copilots and autonomous agents using Microsoft Foundry
- Fine-tune OpenAI models and integrate enterprise knowledge
- Deploy secure, scalable, and responsible AI solutions on Azure
- Purchase of the print or Kindle book includes a free PDF eBook
Book Description:
Agentic AI with Microsoft Foundry is your complete guide to creating intelligent, enterprise-ready AI copilots and agents using Microsoft's unified AI development platform. Whether you're building with GPT models, integrating private data, or orchestrating multi-agent workflows, this book equips you with the technical foundation and practical skills to succeed.
You'll begin by mastering Microsoft Foundry essentials, including setting up your workspace, exploring the Model Catalog, and applying prompt engineering techniques for high-quality LLM outputs. You'll then fine-tune large language models, implement retrieval-augmented generation (RAG), and integrate cognitive search capabilities to give your AI real-world context.
The second half of the book dives deep into building and extending AI agents using the Agent Framework, covering everything from configuring tools and connectors to orchestrating multi-agent systems capable of reasoning, retrieving, and acting autonomously. You'll also learn how to evaluate and govern your AI responsibly, monitor deployments effectively, and scale solutions for enterprise use.
By the end, you'll have built a production-ready AI copilot that leverages Microsoft Foundry, OpenAI models, and Microsoft's Agent Framework, bringing together intelligence, automation, and ethical AI design.
What You Will Learn:
- Configure and navigate Microsoft Foundry projects
- Build copilots using GPT and OpenAI models
- Apply prompt engineering and fine-tuning techniques
- Implement retrieval-augmented generation (RAG)
- Create intelligent agents with the Agent Framework
- Connect enterprise data and external APIs securely
- Orchestrate multi-agent workflows and automation
- Evaluate, monitor, and deploy responsible AI systems
Who this book is for:
For AI developers, data scientists, cloud engineers, and solution architects looking to design, fine-tune, and deploy intelligent AI solutions using Microsoft Foundry and the Agent Framework. Suitable for professionals exploring generative AI, Microsoft Copilot integrations, or autonomous enterprise agents. Basic familiarity with Python or cloud services is recommended but not required.
Table of Contents
- Introduction to Generative and Agentic AI
- Setting up Your Microsoft Foundry Environment
- Core Concepts and Tools of Microsoft Foundry
- Exploring Model Catalog and Evaluation
- Fine-Tuning Models for Custom Solutions
- Building Your First Agent with Foundry
- Integrating Enterprise Data for Contextual AI
- Advanced Agent Capabilities and Tool Integration
- Multi-Agent Orchestration and Workflows
- Evaluating AI Solutions and Responsible AI
- Deploying and Integrating AI Applications
- Scaling Solutions and Future Trends
Master building purpose-built generative and agentic AI solutions with Microsoft Foundry and the Agent Framework, integrate enterprise data, fine-tune OpenAI models, and deploy secure, production-grade copilots on Azure.
Key Features:
- Build copilots and autonomous agents using Microsoft Foundry
- Fine-tune OpenAI models and integrate enterprise knowledge
- Deploy secure, scalable, and responsible AI solutions on Azure
- Purchase of the print or Kindle book includes a free PDF eBook
Book Description:
Agentic AI with Microsoft Foundry is your complete guide to creating intelligent, enterprise-ready AI copilots and agents using Microsoft's unified AI development platform. Whether you're building with GPT models, integrating private data, or orchestrating multi-agent workflows, this book equips you with the technical foundation and practical skills to succeed.
You'll begin by mastering Microsoft Foundry essentials, including setting up your workspace, exploring the Model Catalog, and applying prompt engineering techniques for high-quality LLM outputs. You'll then fine-tune large language models, implement retrieval-augmented generation (RAG), and integrate cognitive search capabilities to give your AI real-world context.
The second half of the book dives deep into building and extending AI agents using the Agent Framework, covering everything from configuring tools and connectors to orchestrating multi-agent systems capable of reasoning, retrieving, and acting autonomously. You'll also learn how to evaluate and govern your AI responsibly, monitor deployments effectively, and scale solutions for enterprise use.
By the end, you'll have built a production-ready AI copilot that leverages Microsoft Foundry, OpenAI models, and Microsoft's Agent Framework, bringing together intelligence, automation, and ethical AI design.
What You Will Learn:
- Configure and navigate Microsoft Foundry projects
- Build copilots using GPT and OpenAI models
- Apply prompt engineering and fine-tuning techniques
- Implement retrieval-augmented generation (RAG)
- Create intelligent agents with the Agent Framework
- Connect enterprise data and external APIs securely
- Orchestrate multi-agent workflows and automation
- Evaluate, monitor, and deploy responsible AI systems
Who this book is for:
For AI developers, data scientists, cloud engineers, and solution architects looking to design, fine-tune, and deploy intelligent AI solutions using Microsoft Foundry and the Agent Framework. Suitable for professionals exploring generative AI, Microsoft Copilot integrations, or autonomous enterprise agents. Basic familiarity with Python or cloud services is recommended but not required.
Table of Contents
- Introduction to Generative and Agentic AI
- Setting up Your Microsoft Foundry Environment
- Core Concepts and Tools of Microsoft Foundry
- Exploring Model Catalog and Evaluation
- Fine-Tuning Models for Custom Solutions
- Building Your First Agent with Foundry
- Integrating Enterprise Data for Contextual AI
- Advanced Agent Capabilities and Tool Integration
- Multi-Agent Orchestration and Workflows
- Evaluating AI Solutions and Responsible AI
- Deploying and Integrating AI Applications
- Scaling Solutions and Future Trends
Über den Autor
Balamurugan Balakreshnan is a principal cloud solution architect at Microsoft Data/AI Architect and Data Science. He has provided leadership on digital transformations with AI and cloud-based digital solutions. He has also provided leadership in terms of ML, the IoT, big data, and advanced analytical solutions.
Details
Erscheinungsjahr: 2026
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9781806673957
ISBN-10: 1806673959
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Balakreshnan, Balamurugan
Fakhraee, Sina
Padhya, Jay
Hersteller: Packt Publishing
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 235 x 191 x 19 mm
Von/Mit: Balamurugan Balakreshnan (u. a.)
Erscheinungsdatum: 30.04.2026
Gewicht: 0,672 kg
Artikel-ID: 135244875

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