🎓 Course : AI Agents with Model Context Protocol Specialization
📝 Description: This Specialization teaches learners to build production-ready AI agents using TypeScript and the Model Context Protocol (MCP)
⌚ Duration : 4 weeks
⭐ Rating : 4.6
👨🏫 Instructor / Provider : Coursera, Vanderbilt University Professional Certificates
📅 Schedule : Flexible schedule Learn at your own pace
📌 Action : Click on ENROLL NOW to take the course
AI Agents with Model Context Protocol (MCP) is a beginner-friendly specialization from Vanderbilt University that teaches you how to build reliable and production-ready AI agents using Python and the Model Context Protocol (MCP). You’ll learn practical agentic AI concepts, prompt engineering, and AI workflows through hands-on projects.
What You Will Learn
- Build production-ready AI agents.
- Learn the Model Context Protocol (MCP).
- Design reliable AI workflows.
- Create AI agents that work autonomously.
- Improve prompt engineering skills.
- Build AI applications using Claude Code and ChatGPT.
Skills You Will Gain
- AI Agents
- Model Context Protocol (MCP)
- Prompt Engineering
- AI Workflows
- AI Orchestration
- AI Security
- Token Optimization
- Multimodal Prompts
Tools Covered
- Model Context Protocol (MCP)
- ChatGPT
- Claude Code
- Anthropic Claude
- Generative AI
- Prompt Engineering
Course List
1. AI Agents with Model Context Protocol
Learn the fundamentals of MCP and build AI agents that interact with real-world systems.
2. Prompt Engineering for ChatGPT
Master prompt writing techniques to improve AI responses and workflows.
3. Claude Code: Software Engineering with Generative AI Agents
Learn how to use Claude Code to build AI-powered software applications and automate development tasks.
Who Can Join?
- Software Developers
- Python Developers
- AI Engineers
- Students
- Machine Learning Engineers
- Working Professionals
- Anyone interested in AI Agents
Final Thoughts
This specialization is ideal for learners who want to build modern AI agents using MCP, ChatGPT, and Claude Code. It provides practical knowledge and hands-on experience to help you develop production-ready AI applications.
