Model Context Protocol-MCP for Devs: Hands-On for beginners
Model Context Protocol-MCP for Devs: Hands-On for beginners
Published 10/2025
Duration: 2h 9m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 932.38 MB
Genre: eLearning | Language: English
Published 10/2025
Duration: 2h 9m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 932.38 MB
Genre: eLearning | Language: English
No Prior experience required in AI , Step-by-Step MCP for Developers , Practical hands-on with MCP with AI Agents
What you'll learn
- Master MCP fundamentals with practical demos – grasp key concepts and architecture while seeing them in action.
- Set up your MCP environment hands-on – configure tools, SDKs, and sample projects step by step.
- Build real MCP agents – create context-aware AI agents through guided demos and hands-on exercises
- Complete an end-to-end MCP samples– apply your skills in a full project with live coding and practical implementation.
Requirements
- Basic programming knowledge – familiarity with Python (or another programming language) is helpful but not mandatory. Understanding of AI/ML concepts – basic knowledge of AI, machine learning, or large language models is beneficial but not required. A computer with internet access – to install tools, run code, and follow along with hands-on demos. Willingness to practice and experiment – this course includes practical exercises and demos, so curiosity and experimentation are key.
Description
Unlock the power ofModel Context Protocol (MCP)and learn how to build, integrate, and manage intelligent applications with confidence! Thishands-on courseis designed for developers who want to go beyond theory and gain practical experience with MCP in real-world scenarios.
In this course, you will:
Understand the core concepts of MCP and how it enables AI-ready applications.
Learn to set up and configure MCP servers from scratch.
Explore different transport channels likeSTDIO, WebSocket, and Streamable HTTP.
Create and manageMCP Resources and Promptsto interact with clients efficiently.
Integrate MCP servers with AI agents using tools likeCursor and Claude.
Develop real projects, including aTodo Manager MCP serverandAI-integrated services.
Test, deploy, and troubleshoot MCP applications for modern development environments.
By the end of this course, you’ll be able to confidently develop MCP servers, consume resources, and leverage MCP to create AI-enhanced applications that can communicate seamlessly with AI agents and clients.
Whether you’re a beginner looking to explore MCP or a developer aiming to integrate AI into your projects, this course provides thepractical skills and projectsyou need to succeed.
No prior experience with MCP required—just bring your programming skills and curiosity to learn MCP.
Who this course is for:
- Beginners interested in AI development who want to understand and use Model Context Protocol (MCP) from scratch. Developers and programmers looking to build context-aware AI agents and integrate them into real-world projects. Students and professionals who want hands-on experience with MCP through practical demos and projects. Tech enthusiasts and AI hobbyists eager to explore MCP concepts without prior advanced knowledge.
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