Model Context Protocol Courses and Certifications

Edureka Career Certificate

Mastering Claude AI: Prompting, APIs, RAG, and MCP

19 ratings at Coursera

Master Claude AI from prompting basics to production systems with APIs, RAG, and MCP servers for intelligent applications and automated workflows.

• Coursera
• 8 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses

Building AI Agents with Amazon Bedrock AgentCore

16 ratings at Coursera

Master building sophisticated AI agents using Strands Agents SDK, Amazon Bedrock, and Model Context Protocol for production-ready agentic solutions.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course

Design, Develop, and Deploy Multi-Agent Systems with CrewAI

11 ratings at Coursera

Master multi-agent AI systems with CrewAI to automate complex workflows, build collaborative agent teams, and deploy production-ready solutions for real-world applications.

• Coursera
• 21 hours 55 minutes
• Self-Paced
• Paid Course

Edureka

Claude Code for Vibe Coding

10 ratings at Coursera

Master terminal-based AI agents with Claude Code—automate workflows, integrate MCP, build custom servers, and deploy production-ready apps using autonomous AI-driven development practices.

• Coursera
• 7 hours 21 minutes
• Self-Paced
• Paid Course

Edureka Career Certificate

Agentic AI Engineering

5 ratings at Coursera

Master building intelligent AI agents using LangChain, LangGraph, and MCP frameworks to create multi-step workflows, stateful systems, and complex agent architectures.

• Coursera
• 12 weeks, 6 hours/week
• Self-Paced
• Paid Course
• 4 courses

Edureka Career Certificate

Building AI Agents with OpenAI

5 ratings at Coursera

Master advanced AI agent development using OpenAI models, AgentKit, memory systems, and RAG to build scalable, production-ready agents for automation and enterprise applications.

• Coursera
• 8 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses

LearnKartS Career Certificate

Full Stack Agentic AI

5 ratings at Coursera

Master full-stack Agentic AI by building production-ready systems with RAG, MCP, vector databases, and autonomous agents using Angular, Node.js, and MongoDB.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course

Scrimba

Introduction to OpenAI Codex

Discover how to integrate OpenAI Codex into your development workflow to speed up coding, improve quality, and automate engineering tasks across local, cloud, CLI, and IDE environments.

• Coursera
• 1 hour 7 minutes
• Self-Paced
• Paid Course

Coursera Career Certificate

Hands-on Agentic AI: Building Intelligent Agents

Master agentic AI systems through hands-on training in multi-agent design, MCP protocols, LangGraph workflows, and ethical governance for autonomous intelligent applications.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 8 courses

Edureka

Design AI Agents with OpenAI AgentKit

Unlock intelligent AI agent development with OpenAI AgentKit, mastering reasoning workflows, function calling, memory systems, and multi-agent communication for autonomous applications.

• Coursera
• 7 hours 55 minutes
• Self-Paced
• Paid Course

Edureka

Building RAG and MCP Servers with Claude

Master production-ready AI systems using Claude, MCP servers, and RAG pipelines. Build agent workflows, implement retrieval systems, and create scalable automated solutions.

• Coursera
• 7 hours 54 minutes
• Self-Paced
• Paid Course

LearnKartS

Agentic AI Foundations: Build RAG & MCP Chatbots

Master Agentic AI by building production-ready RAG & MCP chatbots with Angular, Node.js, OpenAI, and Gemini—creating intelligent systems that retrieve, reason, and act autonomously.

• Coursera
• 15 hours 55 minutes
• Self-Paced
• Paid Course

Edureka

Developing MCP-Powered Agentic AI Systems

Master MCP architecture to build production-ready agentic AI systems with reflexive reasoning, error recovery, and scalable deployment patterns for reliable multi-agent workflows.

• Coursera
• 11 hours 20 minutes
• Self-Paced
• Paid Course

LearnKartS Career Certificate

Agentic AI Engineering: RAG, MCP & MERN

Master building autonomous AI systems using RAG, MCP & MERN stack—integrating OpenAI, vector databases, and tool calling to deploy production-ready agentic AI applications.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course

LearnKartS

Agentic AI Foundations with MERN, RAG & MCP

Master building Agentic AI systems using MERN, RAG & MCP. Develop scalable AI-driven chat apps, integrate Gemini & OpenAI, and create responsive React frontends with TypeScript and Vite.

• Coursera
• 9 hours 6 minutes
• Self-Paced
• Paid Course