Coursera – AI Agents with Model Context Protocol Specialization 2026-2

Updated August 10, 2026 4.3 GB

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AI Agents with Model Context Protocol Specialization is a course on how to build intelligent AI agents using the Model Context Protocol (MCP) published by Coursera Online Academy. This course is a comprehensive program that teaches developers how to build intelligent AI agents using the Model Context Protocol (MCP), an open standard for connecting AI models to external tools, data sources, and applications. Designed for AI engineers, software developers, automation professionals, and LLM professionals, the course covers the principles of agent-oriented AI, MCP architecture, tool integration, context management, and secure communication between AI models and enterprise systems.

Learners will master designing tool servers that connect agents to real-world systems, implementing global agent loops, and employing critical patterns such as response as instruction (treating LLM outputs as execution instructions), fail-ahead (using errors as learning signals instead of stopping conditions), and information budget (optimizing token cost in reasoning steps). Each project tackles real-world challenges—training agents to explore context on demand, automatically recovering from failures, and efficiently using limited cognitive resources—the same problems that cause production AI agents to fail.

What you will learn in AI Agents with Model Context Protocol Specialization:

Build AI agents that actually work: Master the patterns that turn unpredictable AI into reliable, production-ready agents.
Build agents that run automatically: Build agents that discover context on demand, intelligently handle failures, and operate unattended.
Use TypeScript and the Model Context Protocol (MCP) to build production-ready AI agents
And…