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.



Model Context Protocol (MCP) Mastery

Instructor: Fractal Analytics Academy
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What you'll learn
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.
Skills you'll gain
Details to know

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August 2025
3 assignments
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There is 1 module in this course
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.
What's included
9 videos7 readings3 assignments1 ungraded lab
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Frequently asked questions
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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Financial aid available,