AI Engineer Agentic Track: The Complete Agent & MCP Course (Udemy.com)
Master AI Agents in 30 days: build 8 real-world projects with OpenAI Agents SDK, CrewAI, LangGraph, AutoGen and MCP.
Created by: Ed Donner
Last updated September 2026
Our take
Based on the ratings of 47,752 students, a sample of their written reviews and the syllabus, as the course stood in September 2026. No course pays to be reviewed.
This is Ed Donner's six-week program on building autonomous AI agents, moving through the OpenAI Agents SDK, CrewAI, LangGraph, and AutoGen before closing with a full week on MCP. Students build eight projects along the way, from a personal digital twin agent to a capstone trading floor run by four agents and 44 MCP tools. It's labeled intermediate, though the syllabus includes self-study labs for anyone missing the Python or LLM background needed to keep up.
Reviewers keep pointing to Donner's teaching as the reason the course works: reviews call him enthusiastic, clear, and generous with the big-picture context that keeps the different frameworks from blurring together. The GitHub materials get repeated praise for staying current and running without errors. The one real gripe in the sample comes from a student who wanted quizzes or checkpoints to confirm what they'd absorbed before the course moved on to the next framework.
With 21 hours of video, 132 lectures, and over 47,000 ratings averaging 4.7, this is one of the more thorough agentic AI courses on Udemy without turning into a slog. There's no built-in testing, so plan to pause and experiment with each project on your own rather than lean on graded exercises. For anyone serious about learning the current crop of agent frameworks rather than just one, it holds up as a solid, well-maintained pick.
Pros
- Eight hands-on projects across five agent frameworks and MCP, not just theory
- GitHub materials are updated regularly and reviewers say the code runs without issues
- Ed Donner's enthusiasm and clear explanations come up in almost every review
- Covers OpenAI Agents SDK, CrewAI, LangGraph, AutoGen and MCP in one course
Cons
- No quizzes or coding exercises built in, so there's no easy way to check yourself as you go
- Six weeks across four different frameworks moves fast without prior Python or LLM experience
- Frontier-model sections work best with a small API budget, even though it's optional
Amazing course. You can really see the passion of the instructor and he makes the content easy to understand.
Labeled Intermediate but built to flex down to beginners willing to work through the included self-study labs first.
What you will learn
- Project 1: Career Digital Twin. Build and deploy your own Agent to represent you to potential future employers.
- Project 2: SDR Agent. An instant business application: create Sales Representatives that craft and send professional emails .
- Project 3: Deep Research. Make your own version of the essential Agentic use case: a team of Agents that carry out extensive research on any topic you choose.
- Project 4: Build a Stock Picker Agent in minutes with CrewAI—automate your search for investment gems!
- Project 5: Deploy your own 4-Agent Engineering Team—manage, build, and test software apps with CrewAI and Coder Agents in Docker!
- Project 6: Build your own version of OpenAI’s Operator Agent—your Sidekick works with you inside your browser via LangGraph!
- Project 7: Agent Creator—an Agent that builds and launches new Agents using AutoGen, unlocking endless AI possibilities!
- Project 8: Capstone—build a Trading Floor with 4 Agents making autonomous trades, powered by 6 MCP servers and 44 tools!
Course content
6 sections · 132 lectures · 21 hours of video 1 articles
- 1Week 1 2 free previews28 lectures · 5.7 hours
- 2Week 221 lectures · 3.8 hours
- 3Week 319 lectures · 3.3 hours
- 4Week 423 lectures · 3 hours
- 5Week 517 lectures · 2 hours
- 6Week 6 - MCP24 lectures · 3.3 hours
Who it is for
The instructor says it suits
- Well, perhaps I’m biased, but I’d say: anyone and everyone! If you’re fascinated in the potential of Agents and hungry to have the skills to create powerful Agentic AI – then you’ve come to the right place. While it’s most suited to those with programming experience, I’ve designed the course to work for all backgrounds.
What you need before you start
- While it’s ideal if you can code in Python and have some experience working with LLMs, this course is designed for a very wide audience, regardless of background. I’ve included a whole folder of self-study labs that cover foundational technical and programming skills. If you’re new to coding, there’s only one requirement: plenty of patience!
- The course runs best if you have a small budget for APIs, but it’s totally your choice. You can complete the entire course with no API spend. If you do wish to use frontier models, the typical spend would be under $5. You can choose to access more capabilities if you’re comfortable spending a little more.
Course Description
2026 is nothing short of a watershed moment for AI Agents. It has never been more important to be an expert with Agentic AI. And that is precisely the goal of this course: to equip you with the skills and expertise to design, build and deploy Autonomous AI Agents, opening up new career and commercial opportunities.
This is an intensive 6-week program to master Agentic AI. We start by building foundational expertise, connecting LLMs using proven design patterns. Then, each week, we upskill with new frameworks: OpenAI Agents SDK, CrewAI, LangGraph and Autogen. The course culminates with a full week on the remarkable opportunities opened up by MCP.
Above all, this is a hands-on course. I’m a big believer that the best way to learn is by DOING. So please prepare to roll up your sleeves! We’ll build 8 real-world projects; some are astonishing, some are intriguing, and some are quite surreal. But one thing’s for sure: all are powerful demonstrations of Agentic AI’s potential to utterly transform the business landscape.
So come join me on this comprehensive 6-week journey. By the end, you will have mastered Agentic AI. You will have expertise in all the major frameworks. You’ll be well-versed in the strengths and traps of Agentic AI. You’ll confidently unleash Autonomous Agents to solve real-world commercial problems. And along the way, you’ll have had a whole lot of fun with the astounding, groundbreaking technology that is Agentic AI.
Instructor Details
- 4.7 Rating
47,752 Reviews
Ed Donner
Ed Donner is a technology leader and repeat founder of AI startups. He’s the co-founder and CTO of Nebula, the platform to source, understand, engage and manage talent, using Generative AI and other forms of machine learning. Nebula’s long-term goal is to help people discover their potential and pursue their reason for being.
Previously, Ed was the founder and CEO of AI startup untapt, an Accenture Fintech Innovation Lab company, acquired in 2021. Before that, Ed was a Managing Director at JPMorgan Chase, leading a team of 300 software engineers in Risk Technology across 3 continents, after a 15-year technology career on Wall Street. Ed holds a patent for a Deep Learning matching engine issued in 2023, and an MA in Physics from Oxford.
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Reviews
By Michał Janiszewski on 9/2/2026
The course hits the sweet spot when it comes to combining depth and breadth of the topics. It starts from the simpler ideas and gradually builds up. Foundational ideas are well explained in a structured way, focused on essentials. I love the fact Ed cares about reiterating on important points and reminders, not just assumes that something was once said and it is enough. Ed's enthusiasm is contagious and helps to feel excitement about the topics. Materials are very informative, well-organized and kept up to date. I also appreciate the idea of sprinkling MCP throughout the course and explaining the details at the end. I cannot wait to take another courses from Ed. Prime quality.
By Art Nusa on 8/31/2026
Another awesome course from Ed! I’m a returning student, and I’m so grateful to have a tutor like him. His coverage of this emerging topic is amazing, striking the perfect balance with its depth. What I found most valuable—on top of the practical "how-to" guides—was the helicopter view of the current state of the field. It kept me from getting lost and helped me map out the right direction for my learning journey. I can't thank Ed enough for all the hard work he put into this course. The examples are fabulous! While it will take some time to revisit and dig deeper into certain parts, they really drove the points home for me.
By Vishal Shah on 8/21/2026
This is a very good course that clearly explains the fundamentals of Agentic AI. It not only helps build a strong understanding of the basics but also provides valuable insights into how complex Agentic AI systems can be designed and built.
By Leonardo Daniel Castillo Perez on 8/20/2026
Ha sido un curso bastante entretenido y sobre todo educativo. La forma de explicar los conceptos ha sido precisa, me ha permitido comprender cuestiones complejas de una manera muy fácil de digerir. La forma en la que enseñó cada una de las partes, dando ejemplos y el uso de su propio laboratorio para hacer los proyectos planteados me ha parecido muy bueno. Si algo tuviera que observar para mejorar sería la falta de algunos puntos de pausa para evaluar los conocimientos que estamos adquiriendo, es bueno tener ese tipo de feedback a través de cuestionarios u otras formas de retarnos para demostrar que hemos asimilado los conocimientos. Muy buen curso.
By Heath Upton on 7/21/2026
Great course, absolutely worth the time and money! The code was already present which left a lot more time for explanations, background information, and other details that would have either been lost or caused the course to be 10 times longer. I went through it fairly quickly the first go, and will go through it again, hoping to go a bit deeper on the areas that appealed more to me. I recommend this course to anyone willing to learn; it isn't too late to jump on the AI agent train :-)
By Aayushi Gupta on 7/16/2026
Course content is very good. Instructor is very knowledgeable. Though, Sometimes its a little difficult for a person with non tech background to understand rest is good.
By David Garcia on 7/15/2026
Amazing journey and experience! I could not ask for a better trainer and a first contact with Agentic frameworks. The excitement and hype during the course is high and he is able to kept it like that until the end. You can feel Ed passion in all the lessons. At the same time, it is really useful training as you can practice labs during the lessons, you will prepare your own exercises and challenges and you can always adapt the models, results, tools, all is very flexible! You finally end up with a bunch of useful code and projects that you can easily reuse and refactor for your future projects. Best thing is that I never needed to check in which week, day, lesson or video number I was as I enjoyed it so much, it was just not relevant! I will be doing all his trainings, thanks Ed for the all the help!
By Ivy Wang on 7/9/2026
Just finished the Agentic track after completing the Core track — it's just as good. Also thank you Ed for continuing to keep the content fresh and up to date! One small wish (same as after Core track): more diagrams/flowcharts would really help with understanding some of the more complex agentic concepts. And... maybe work on your Spanish a bit more? XD
By Dalton Chan on 5/28/2026
This is an excellent course—well structured, easy to follow, and very practical. The instructor clearly explains what the code does at each step, which really helps with understanding. The inclusion of real-world projects is a big strength, as it helps bridge the gap between theory and practical application. Highly recommended for anyone looking to build both understanding and hands-on skills.
By Vinal Sharma on 5/23/2026
I wanted to start with a top-down exposure with AI and picked this course, and it was a good decision I must say. Ed, keeps it engaging! It gave me some confidence(atleast) to talk about AI, especially Agents and Agentic AI. I am looking forward to more courses from Ed, jumping to LLM Engineering for sure now. Thanks Ed!
Quality Score
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Overall Score : 94 / 100







