AI Engineer Agentic Track: The Complete Agent & MCP Course
4.7(36,042) on Udemy
Intermediate 17 hours English Course Certificate
Our recommendation
Ed Donner's specialist agent course and the natural follow-up to his Core Track. It goes deep on building production agents — OpenAI Agents SDK, CrewAI, LangGraph, AutoGen and the Model Context Protocol — across eight projects, ending in an autonomous multi-agent trading-floor capstone. Best taken after the Core Track (or with equivalent LLM experience); it assumes you can already build with LLMs.
Good for: Developers who already build with LLMs and want to specialize in agents and MCP.
Less suitable if: You're new to LLM engineering — do the Core Track (or an intro) first.
Skills you'll gain
AI agentsModel Context Protocol (MCP)OpenAI Agents SDKCrewAILangGraphAutoGenMulti-agent systemsTool calling
Is this course right for you?
A good fit if you…
You've done the Core Track or already build with LLMs
You want hands-on agent frameworks, not theory
You want to build multi-agent + MCP systems
Consider something else if you…
You're new to LLM engineering
You only want a quick intro to agents
You want a free option
Requirements: Comfortable building with LLMsWorking Python
Realistic time: 17 hours of video across 130 lectures; a 6-week project path, self-paced
About this course
The AI Engineer Agentic Track is Ed Donner's specialist follow-up to his Core Track. Where the Core Track spans the whole LLM pipeline, this course is entirely about building agents: agent design patterns, the Model Context Protocol (MCP), and the four frameworks teams actually use — OpenAI Agents SDK, CrewAI, LangGraph and Microsoft AutoGen — across a six-week, project-driven path.
What you'll learn
Build production AI agents with OpenAI Agents SDK, CrewAI, LangGraph and AutoGen
Apply agent design patterns and the Model Context Protocol (MCP)
Wire agents to tools and data via MCP servers
Design and run multi-agent systems that collaborate autonomously
Ship 8 agent projects, including an autonomous multi-agent capstone
This course includes
17h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
What it costs
A paid Udemy course — list around $64.99 but frequently discounted, with lifetime access and the completion certificate included. Budget roughly $5 for frontier-model API calls during the projects. Udemy's 30-day refund lets you try it first.
Comparison · LBS
Compare alternatives for AI Engineer Agentic Track: The Complete Agent & MCP Course
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UDUdemy4.7(36,042)
AI Engineer Agentic Track: The Complete Agent & MCP Course
Issued by Udemy on completion (included with the course). It signals hands-on agent-building skill; as with any Udemy certificate, the projects you ship carry more weight with employers than the certificate itself.
Instructor
ED
Ed Donner
Udemy instructor
Ed Donner is a repeat AI founder (co-founder/CTO of Nebula) with 20+ years' experience, and the instructor behind the AI Engineer Core Track. His courses lean hands-on and production-minded rather than theoretical — the reason they're so widely recommended for engineers moving into agentic AI.
About this provider
UD
Udemy
The world's largest online learning marketplace. 65M+ students, 210,000+ courses.
For most people, the Core Track first — it gives the full LLM-engineering foundation (models, RAG, fine-tuning, intro to agents). Take the Agentic Track second to specialize. Only start here if you already know LLM basics and RAG.
If you already build with LLMs and want to go deep on agents, yes — it's hands-on across the frameworks that show up in agent job postings (OpenAI Agents SDK, CrewAI, LangGraph, AutoGen) plus MCP, with 8 real projects. It's not a first AI-engineering course.
Four major agent frameworks — OpenAI Agents SDK, CrewAI, LangGraph and Microsoft AutoGen — plus the Model Context Protocol (MCP) for connecting agents to tools, and a brief look at the Claude Agent SDK.
Eight agent systems, including a 4-agent engineering team (CrewAI + Docker), a browser 'Operator' agent (LangGraph), an Agent-Creator (AutoGen), and a capstone trading floor of four autonomous agents on six MCP servers and 44 tools.
No — it's a paid Udemy course (frequently on sale), with the certificate included. It's 17 hours of video across 130 lectures, structured as a 6-week path and fully self-paced.