Luka Lukačević
Hrvatski Telekom
Thanks for your interest in AI Makerspace. Check out where certified graduates are from around the world.
*All certified graduates included on this page have not opted out of inclusion for any legal or privacy reasons.
Certified Graduates
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Click on each graduate to learn more about them, their unique learning experience, and their application with AI Makerspace, or to connect on LinkedIn.
Certified AI Engineers are normal people, just like you.
They hail different backgrounds, industries, and skillsets well beyond tech. Some currently work at at the most well-known companies in the world, and others simply live right next door and have regular day jobs. Some have started their next chapter, and others are still aspiring to do so.
Part of what AI Makerspace encourages you to embrace from Day 1 is your own personal career journey.
These are the kinds of things that people who dedicate themselves to certification tell us...
"Amazing course."
"Passionate instructors."
"Changed my relationship with AI and online courses."
"Gained invaluable skills."
"I feel confident using this framework."
Our certification you walk away with is good for two years and the foundation you walk away with sets you apart. If you want to come back again to keep your application and knowledge fresh, you know what to do. Start the AI Engineer Challenge and register for our next course.
Spectacular amount of information delivered in ten weeks. Lectures are extremely well prepared, and the combined expertise of Dr. Greg and The Whiz works magically. This is NOT an easy bootcamp unless you are already an AI engineer. But resources were plentiful, and our cohort developed a camaraderie and I believe some long lasting future friendships. Highly recommended.
This is an incredible course. The content is top-notch, and everyone involved in delivering and supporting the course brings a level of expertise and enthusiasm that I have rarely seen. Be prepared to work hard, and having a development background is helpful, especially if it's with Python. Class time is 4 hours a week, with another 4 to 8 hours a week for homework. There's also a midterm and a final that are no joke. If you're serious about ramping up on the latest trends and techniques in AI engineering, this course is for you, but be prepared to work hard!
Great course, awesome instructors, up-to-date and relevant material. You will get relevant skills to get you started in your AI Engineering career.
This course is not for the faint of heart or the casual hobbyist in AI Engineering! Make no mistake - it is a rigorous bootcamp. But for those with the strong desire to meaningfully upskill in this area, I can't think of a better way to spend 10 weeks. The notebooks and assignments are well-curated by The Wiz, Dr. Greg is an amazing communicator who excels at communicating key concepts and Sarah is an amazing super-helpful coordinator. You will be given challenging assignments, but you will get all the guidance you need and then some! As an additional bonus, you will bask in the warmth of a tight-knit community with a unique culture...I'm envious of anyone who is just embarking on this journey!
Came in not knowing the stuff. Leave actually knowing the stuff. What more could you want?
If you put in the work, it's unbelievable how much you can learn from ALL the invaluable material AI Makerspace provides (both in and out of class)! Even if you don't want to put in the work, it's great for just exposing yourself to what is out there on the AI engineering cutting-edge. To be completely honest, this was one of the best decisions I've made!
This is THE AI engineering course to take. The team genuinely cares about your learning and they support you every step of the way. They know their stuff, and stay updated with everything that’s going on. Couldn’t have asked for better value for my money. Amazing.
I recommend AI Makerspace’s AI Engineering Bootcamp because it forces you to build under real constraints and stay current as the field moves. They set a high bar for entry and an even higher bar for graduation, with an explicit expectation that you code daily and build two production-grade RAG, agent, or multi-agent apps each week. What really earns my endorsement is how fast they update the material. Cohort content gets refreshed with new protocols and practices like MCP and Google’s A2A, there is a dedicated Guardrails session, and their twice weekly live hands-on sessions are designed to cover the latest concepts so you are learning what just landed, not last quarter’s patterns. In my cohort that translated into building RAG and agentic systems with LangChain and LangGraph, evaluating with RAGAS, storing vectors in Qdrant, running a FastAPI backend, deploying to Vercel or Railway, and tracing in LangSmith, all while adopting new pieces as they emerged. If you want a program that demands consistent building & shipping, teaches what is current, and builds the habits needed for production AI, this is it.
We're currently in session with 1.0 and kicking off the next certification with an awesome group in 1.1 on September 22nd, 2026. Working through the AI Engineer Certification with AI Makerspace, you walk away with:
Dates: September 22nd-December 7th, 2026
Price: $4,000 USD
To apply and join us this fall: