Learn by Source
Udemy

AI Engineer Agentic Track: The Complete Agent & MCP Course

4.7(45,798) on Udemy·374K enrolled
Intermediate 21 hours English Course Certificate
SkillsAI agentsModel Context Protocol (MCP)OpenAI Agents SDKCrewAILangGraphAutoGenMulti-agent systemsTool calling

Is this course right for you?

Our take
A deep, project-driven specialist course on building AI agents, best taken once you can already build with LLMs. It is Ed Donner's follow-up to his Core Track.

Good for: developers who already build with LLMs and want to specialize in agents and MCP.

Skip if: you are new to LLM engineering — do the Core Track (or an intro) first.

It is entirely about agents — design patterns, the Model Context Protocol, and the four frameworks teams actually use (OpenAI Agents SDK, CrewAI, LangGraph, AutoGen) — and you ship eight agent systems, ending in an autonomous multi-agent trading-floor capstone. It is hands-on rather than conceptual.

It assumes real LLM-building experience, so it is not a first course — do the Core Track or an intro first. Note it needs a little API spend (around $5) on top of the course, and the credential is a Udemy completion certificate. Donner keeps it current; on price, wait for a Udemy sale.

Comparison · LBS

Compare alternatives for AI Engineer Agentic Track: The Complete Agent & MCP Course

Same topic, different options. We surface the trade-offs others hide so you can pick the course that actually fits your time, budget, and goals.
Udemy4.7(45,798)
AI Engineer Agentic Track: The Complete Agent & MCP Course
Price
Paid
Paid, frequently discounted · lifetime access (+ small API costs)
Duration
21 hrs
Level
Intermediate
Certificate
Course Certificate
Udemy4.7(39,752)
AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents
Price
Paid
Paid, frequently discounted · lifetime access (+ small API costs)
Duration
33.5 hrs
Level
Intermediate
Certificate
Course Certificate
View course →
DataCamp
Designing Agentic Systems with LangChain
Price
Paid
DataCamp subscription
Duration
3 hrs
Level
Intermediate
Certificate
Course Certificate
View course →
DataCamp
Multi-Agent Systems with LangGraph
Price
Paid
DataCamp subscription
Duration
2 hrs
Level
Advanced
Certificate
Course Certificate
View course →
Prices & availability can change — confirm on the provider's site. We're not affiliated with any single provider.

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.

Browse all AI & ML courses Browse all Udemy courses

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.

Frequently asked questions

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.
Paid
Paid, frequently discounted · lifetime access (+ small API costs)
Enroll now