AI MAKERSPACE GRADUATES

Certified AI Engineers: A Global Community of Practitioners

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

Unique Countries

Enrollments, All Cohorts

>3,400

Total Students Reached


*The total stats shown also included graduates not listed below or shown on the map of countries.

Certified AI Makerspace Graduates

Click on each graduate to learn more about them, their unique learning experience, and their application with AI Makerspace, or to connect on LinkedIn.

1517009847239

Rakesh Barenkala

Cohort 10
Sr Software Engineer
PIMCO
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Kate Xiao

Cohort 10
Software Engineer
Apple
1693572777581

Fateme Najafi

Cohort 10
AI Engineer & Consultant
Freelance
1654718224947

David Ryšánek

Cohort 10
software developer
Česká pošta Security
1599382743340

Alexander Blaichman

Cohort 10
Founder & iOS / AI Engineer
Cheez
1714068015770

Nathan Patterson

Cohort 10
Software Engineer
ExploreTech
1673323462906

Arnaud Pilpre

Cohort 10
Engineering Leader
Flow
1516478220283

Sajal Osta

Cohort 10
Senor Staff Engineer
MIPS
22183178

Saurabh Swaroop

Cohort 10
Senior Software Engineer
American Express
1540581434028

Pemberai Sweto

Cohort 10
Software Engineer
BMW Group
1768459693926

Paulina Grunwald

Cohort 10
Principal Software Engineer
CYANIS AI
1698787504340

Maiu Fukui

Cohort 10
Founding Product Manager
Startup
1673452878909

Kevin Murphy

Cohort 10
Vice President (Cloud Security)
Sixth Street
1708429439445

Haikal Yusuf

Cohort 10
Senior Software Engineer
Visa
1734208194578

Domenico Di Gangi

Cohort 10
Head of Data and AI
Onerian AI

What is a Certified Graduate?

AI Makerspace Grads are Today's AI Forward-Deployed Engineers Leading the Way

 

Certified AI FDEs 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.

 

What are you aiming at 🎯?

What Graduates are Saying

Hear From Graduates After Getting Certified with AI Makerspace

 

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."

 

READY FOR ANOTHER CHALLENGE?

 

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.

Read Testimonials from Students

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Praveena Suresh

Amazing content throughout the bootcamp. Very intense and very demanding. In the end it was really worth all the effort. There is a definite sense of accomplishment in the end.

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Juan Santamaria

Awesome course! Very happy with the content, the instructors and the peer supporters! Thank you AIM!

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Germee Ronirose

Loved the course! It was hard and challenging, but it gave me clarity on what I need to do next. The support from the community is amazing, and what makes this course different from the rest. The team does their best to make sure every student is successful.

arthi-kasturirangan

Arthi Kasturirangan

AI Makerspace is where theory meets traction. It’s one thing to learn GenAI—another to actually build, ship, and share real solutions that create business impact. This program helped me do exactly that. If you want to lead real-world GenAI deployments—not just talk about it—this is the program to beat.

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Aaron Moss

This is course is amazing! Chris and Greg were amazing at going through 17 builds and ways to deploy! My game has been raised! Thanks you guys and amazing peer supporters!

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Richard Gower

I was not sure what to expect with this course especially with the cost. However, I had attended a number of the AI Makerspace weekly webinars and watched a number of their videos as part of research. Having completed the course, these guys are the real deal. It was hard. But I learned so much, gained confidence in my knowledge and abilities, and now have a solid baseline to continue learning in this rapidly changing area.

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Richard Lai

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.

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Angela Chapman

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.

AI Makerspace operates on an adaptive curriculum, updated cohort by cohort, so learners are never behind in their capabilities.

The full journey covers the entire modern AI stack — LLMs → RAG → Agents → Evals → MVPs → Use Cases → Production.

Register Now: AI FDE Certification

Cohort 11 from Sept 29 - Dec 10, 2026 [v1.1] will see:

  • 🧭 Course and applications process redesign to align with active, advanced, mid-career AI Engineers
  • 🛠️ Updates to the foundational AI Engineer dev stack to mirror more closely what we've found at large companies (e.g., VSCode, Claude Code)
  • 🎯 Intentional use-case identification aligned with industry best practices
  • 🔒 Unblocking the bottleneck of highly sensitive, private data via Synthetic Data Generation with Open LLMs
  • 🔎 Agentic search variants of RAG (e.g., Direct Corpus Interaction (DCI), LLM Wikis)
  • 🧩 Tools vs. Skills vs. MCP vs. Subagents vs. Universal Tool Calling Protocol (UTCP) vs. Code Mode
  • 🔁 Harness & loop engineering for long-running agents (e.g., Ralph, Spec-Driven Dev)
  • 🛡️ Security fundamentals including observability for detection & prevention
  • 🥷 Adversarial security techniques (e.g., prompt optimization for prompt injection, context bombing)
  • 🎥 Extending multimodality to video search & building multi-agent voice applications

To join us:

  1. View our course and complete your AI FDE Certification application.
  2. Your application will be reviewed by our team to share the next steps.
View the Curriculum and Apply →