In this short, intensive course, you’ll dive into the Model Context Protocol (MCP)—an open standard revolutionizing AI connectivity. Just as HTTP and REST reshaped the web, MCP is redefining how AI models communicate, enabling seamless, secure, and scalable integration with external systems.


您将学到什么
The evolution of MCP and its impact on AI integration.
MCP’s modular architecture: hosts, clients, servers, and their roles.
Security risks in MCP deployments and how to mitigate them.
Real-world use cases and best practices for secure, scalable AI integrations.
您将获得的技能
要了解的详细信息

添加到您的领英档案
August 2025
3 项作业
了解顶级公司的员工如何掌握热门技能

该课程共有1个模块
Unlock the next generation of AI integration with the Model Context Protocol (MCP)—the open standard transforming how AI systems interact with external tools, services, and data sources. This concise, skill-focused course empowers AI professionals to build secure, scalable, and context-aware AI applications using MCP. Learn how MCP’s modular architecture enables real-time, intelligent interactions, and discover best practices to safeguard your AI ecosystem against emerging security threats.
涵盖的内容
9个视频7篇阅读材料3个作业1个非评分实验室
位教师

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学生评论
24 条评论
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已于 Sep 27, 2025审阅
Short, concise and to the point. I like the security consideration section which is kind of eye-opener and mostly ignored area while it is the most critical part.
常见问题
This course introduces the Model Context Protocol (MCP), a groundbreaking standard for secure, scalable AI integration. It’s essential for professionals building next-gen AI systems that interact with external tools and data sources.
Designed for AI engineers, solution architects, and advanced practitioners with experience in generative AI or AI system integration.
You’ll be able to explain MCP’s evolution, describe its architecture, identify security risks, and implement best practices for secure AI integration.
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提供助学金,