This highly-rated course boasts a 4.7-star-star rating from 17 reviews and has successfully guided 2,937 students in mastering No-Code Development skills. Featuring 1 hour(s) 38 minute(s) of expert-led content delivered in English, this course offers thorough training to enhance your Social Science expertise. The course details were last updated on December 24, 2024. This coupon code is brought to you by Anonymous.
- Expires on: 2026/02/23
- Last Update: February 21, 2026
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Price:
19.99 $0 $
About This Course
The Model Context Protocol (MCP) is emerging as a core standard for how AI systems connect to tools, data, and external capabilities. This course provides a practical, end-to-end understanding of MCP—from first principles to real integrations—so you can design AI agents that scale cleanly across tools, models, and environments.
You’ll start by learning why MCP exists: the M × N integration problem that plagues modern AI systems, and how MCP reframes it into a composable, extensible architecture. From there, you’ll explore MCP’s core components, capabilities, and communication flow—building a clear mental model before touching any implementation.
Once the foundations are solid, the course moves into hands-on development. You’ll build MCP servers and clients from scratch, understand the JSON-RPC 2.0 message protocol that powers MCP, and work with streamable HTTP transport for real-world usage. Finally, you’ll integrate MCP servers with modern AI tooling like Claude Code and Cursor, showing how MCP fits naturally into today’s AI-powered development workflows.
Throughout the course, the focus stays on conceptual clarity, architectural correctness, and real-world applicability—not just getting something working, but understanding why it works and how it scales.
What You’ll Learn
What MCP is, why it exists, and how it solves the AI integration problem
How MCP defines and manages “context” through tools, resources, prompts, and sampling
The roles and responsibilities of MCP hosts, clients, and servers
How MCP communication flows from user request to server execution and back
How to build and test MCP servers and clients using FastMCP
How MCP uses JSON-RPC 2.0 and streamable HTTP transport
How to integrate MCP with modern AI development tools like Claude Code and Cursor
Who This Course Is For
AI engineers and developers building agentic systems
Platform and infrastructure engineers evaluating MCP as a standard
Developers integrating LLMs with tools, data sources, or internal systems
Technical leaders who want a clear architectural understanding of MCP
Why This Course
Most MCP resources focus on snippets and setup. This course focuses on mental models, system design, and real integration patterns, so you can confidently explain MCP, implement it correctly, and use it as a long-term foundation for AI applications.
Enroll now and master the Model Context Protocol!
