This course teaches you to build Model Context Protocol (MCP) servers and clients with production-ready features. You'll learn to implement sampling—a technique that shifts AI model costs and complexity from servers to clients—and add real-time logging and progress notifications to improve user experience during long-running operations. The course covers roots, MCP's permission system that enables file discovery while maintaining security boundaries.
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要了解的详细信息
了解顶级公司的员工如何掌握热门技能

该课程共有3个模块
Master sampling, notifications, and roots - three powerful features that make MCP servers more capable and user-friendly. Learn how servers can access language models, provide real-time feedback, and securely access file systems.
涵盖的内容
4个视频1个作业
Deep dive into MCP's communication layer. Understand JSON message types, stdio transport for local development, and the complexities of StreamableHTTP for remote deployments.
涵盖的内容
5个视频2个作业
Test your knowledge of advanced MCP concepts and learn how to apply these techniques in your own projects.
涵盖的内容
1个视频2个作业
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This Coursera version includes interactive features not available in our standalone content, including Coursera Coach, which is an AI-powered learning assistant that can answer your questions, break down complex concepts, and provide personalized guidance as you learn. You'll also have access to additional practice quizzes, assessments, and AI-powered dialogues that help reinforce key concepts and let you test your understanding before moving forward. These enhancements transform the passive video experience into an interactive learning journey with real-time support and feedback.
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When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
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¹ 本课程的部分作业采用 AI 评分。对于这些作业,将根据 Coursera 隐私声明使用您的数据。




