Rakesh Barenkala
Sr Software Engineer
PIMCO
Thanks for your dedication to AI engineering, support and 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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*The total stats shown also included graduates not listed below or shown on the map of countries.
Click on each graduate to learn more about them, their unique learning experience, and their application with AI Makerspace, or to connect on LinkedIn.
Our certified AI FDEs are normal people, just like you. They hail from different backgrounds, industries, and skill sets well beyond tech. Some currently work 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 try the next level, you know what to do. Choose where you are, and let's build from there.
AI Makerspace delivers an outstanding hands-on learning experience for aspiring AI engineers. The program excels in teaching you to build production-ready AI applications while providing crucial insights into the underlying technology. You'll master essential AI engineering skills including RAG implementation, RAGAS evaluation metrics, and fine-tuning techniques to optimize model performance.
This is a great course! Whether you are new to LLMs, or already using them but wanting to learn more of the latest open source tools, this course is well worth your time.
I come from a non-technical background, so calling this course rigorous is an understatement. But after 10 weeks, I’ve gained a solid grasp of AI engineering skills and their underlying theories. I’ve also built at least 18 functional and useful AI apps (I lost count by Week 7). The founders structured the bootcamp so that anyone determined enough can keep up while actively gaining new skills.
Learn AI Engineering →
Starting on November 10th, understand the core concepts and code behind AI Engineering in 6 weeks.
🏆 The longest-running AI Engineering Bootcamp on Maven (since January, 2024)
📚 Every enrollment includes the textbook: The AI Engineering Bootcamp Book, published by Wiley.
We promise to get you building 🏗️, shipping 🚢, and sharing 🚀 live in class, and to get you noticed on LinkedIn.
🧑💻 Guaranteed to get you building a personal GitHub portfolio of projects that you can talk about in detail!
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