Packt
MCP for Leaders - Architecting Context-Driven AI

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Packt

MCP for Leaders - Architecting Context-Driven AI

深入了解一个主题并学习基础知识。
中级 等级

推荐体验

5 小时 完成
灵活的计划
自行安排学习进度
深入了解一个主题并学习基础知识。
中级 等级

推荐体验

5 小时 完成
灵活的计划
自行安排学习进度

您将学到什么

  • Understand how Model Context Protocol (MCP) transforms AI decision-making with dynamic context

  • Implement MCP’s architecture and multi-modal intelligence into AI systems

  • Leverage MCP for improving business decision intelligence across industries

  • Build and manage AI-driven teams that align with MCP principles to drive business innovation

要了解的详细信息

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最近已更新!

January 2026

作业

7 项作业

授课语言:英语(English)

了解顶级公司的员工如何掌握热门技能

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有6个模块

In this module, we will introduce you to the foundational concepts of Model Context Protocol (MCP) and explore how it transforms AI systems with dynamic context handling. You’ll learn why MCP is crucial for AI agents and its potential to revolutionize decision-making across industries. We will also discuss real-world applications and how MCP fits into your broader AI strategy.

涵盖的内容

5个视频

In this module, we will dive into the core concepts that make up MCP, breaking down its architecture and explaining how it facilitates dynamic context handling. You’ll gain insights into context routing, AI agents, and protocol layers, and explore how MCP enables multi-modal intelligence, integrating various data types for powerful decision-making.

涵盖的内容

4个视频1个作业

In this module, we will explore how MCP drives real-world business applications, from improving decision intelligence to enabling autonomous agents in key operational areas. You will also learn about its role in enhancing content generation within Retrieval-Augmented Generation (RAG) systems and ensuring compliance and transparency through context-aware agents.

涵盖的内容

4个视频1个作业

In this module, we will provide leadership-level insights into leveraging MCP principles to build high-performing, AI-ready teams. We’ll discuss the decision-making process around internal vs external MCP solutions and guide you on establishing effective AI governance for ethical, scalable, and sustainable AI adoption within your organization.

涵盖的内容

4个视频1个作业

In this module, we will introduce you to essential MCP tools and ecosystems, helping you understand their role in building context-aware AI systems. You will learn how to evaluate open-source vs enterprise solutions and explore how MCP seamlessly integrates with your existing business infrastructure to maximize value and operational efficiency.

涵盖的内容

4个视频1个作业

In this module, we will showcase compelling case studies to demonstrate MCP’s real-world impact across industries. You’ll have the opportunity to design your first context-aware AI initiative in a vision workshop and create a roadmap for transitioning your organization into a context-driven enterprise, using MCP as a foundational strategy for AI success.

涵盖的内容

4个视频3个作业

位教师

Packt - Course Instructors
Packt
1,299 门课程334,545 名学生

提供方

Packt

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