AI Agent Development with Model Context Protocol (MCP)

As artificial intelligence evolves, the focus is shifting from simple chatbots to autonomous agents that can interact with external software and data. Understanding how to standardize these connections is the key to building the next generation of AI-powered applications. This course provides a clear path to mastering the Model Context Protocol (MCP), enabling you to create secure and scalable AI agents that perform real-world tasks. You will transform your understanding of generative AI from basic prompting into the ability to architect complex, tool-using systems. By the end of this course, you will be able to bridge the gap between static language models and dynamic enterprise environments. What you'll learn: - Understand the core architecture of the Model Context Protocol for standardized AI communication. - Build custom MCP servers to expose local data and specialized tools to language models. - Implement secure AI agent workflows using platforms like Bedrock and Claude. - Configure transport layers and authentication to ensure reliable data exchange. - Apply modern security principles to prevent unauthorized tool execution by AI agents. - Integrate AI-assisted development practices using Claude Code for faster iteration. The course begins with essential terminology and the fundamental mechanics of generative AI agents. You will then progress through the technical implementation of MCP servers, client-side integration, and the orchestration of multi-server environments through written explanations and practical code examples. This course is designed for beginners and software developers who want to stay ahead of the curve in AI integration. No prior experience with MCP or agentic workflows is required. Start building the future of autonomous AI systems today.