Exploiting and Securing AI/MCP Systems

О курсе

A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This course empowers learners to understand, deploy, and secure Multi-Component Platform (MCP) systems in AI applications, bridging theoretical knowledge with practical hands-on skills. The course begins with foundational concepts, including MCP architecture, server setup, and Python-based development using the FastMCP SDK. You’ll explore local and remote server configurations and integrate them with AI tools like the Claude Desktop App. Step-by-step labs and demonstrations ensure you gain practical experience and confidence in system deployment and configuration. This course is ideal for cybersecurity professionals, AI developers, ethical hackers, and IT students with basic Python knowledge. Intermediate understanding of networking and security concepts is recommended. Difficulty level: Intermediate. By the end of the course, you will be able to build MCP servers in Python, integrate them with AI apps, identify and exploit common security flaws, and implement measures to secure AI/MCP systems effectively.

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