Owner/CEO, AI Makerspace
Author, LLMs in Production


TL;DR: The curriculum changelog shows our path from 2024 to today.
Today, expertise in Agentic AI that can answer the questions "what should we build and why?" AND "how should we build it today?" is highly valued.
This is what AI Forward Deployed Engineers (FDEs) do.
The best production engineers can also answer the "how do we scale it, securely?" question.
The best FDEs are rooted in core concepts and code across product management, machine learning, and software engineering. We tie everything learned in this course back to the fundamentals.
This course is designed for you to build 🏗️, ship 🚢, and share 🚀 your way through today's AI product-engineering landscape by focusing on a single problem that matters for your company. Through accountability, repetition, and community, you will generate ROI for yourself and your company.
Just ask our hundreds of Certified AI Engineer Graduates.
AI Makerspace is the only certified enterprise training partner of Andrew Ng & Kirsty Tan's AI Aspire on Maven. Learn more about custom offerings here.
Please note: our cohorts are staffed with rotating expert instructors, peer supporters, and graders.
The skills you need to succeed as an AI Forward Deployed Engineer in production environments.
Learn to ask the right questions and guide your organization through prioritization and problem scoping
Learn to move from MVP to PoC to production, and understand the right tools & techniques to get you there
Bring the fundamentally valuable token-minimization mindset to your company's leadership table
Learn to implement the right retrieval technique and when, from LLM Wikis to dense vector embedding RAG
Understand tradeoffs between tools, skills, MCPs, subagents, code mode, Universal Tool Calling Protocol (UTCP)
Learn to install guardrails at the right layer of your agentic systems
Run local OSS models aligned with your enterprise hardware
Bypass sensitive and private data restrictions with local synthetic data generation
Use best-practice tools to choose, host, and run local models
Understand how to answer the question "How do we know that this works and we can trust it?"
Go beyond simple vibe checks and evals with "What if?" scenarios that align directly with your business
Understand how to evaluate your agents systematically, no matter how they have been structured
Learn to enhance your own prompt injections through well-known prompt optimization techniques
Understand how Hugging Face got reward-hacked by OpenAI; learn advanced techniques like context bombs
Understand enterprise threats that cannot be solved with root-level access
Learn to be guided by wherever the bottleneck is in product development, not by what you like doing better
Understand the importance of removing features rather than adding features as you scale
Build solutions with performance, scalability, and security that are enough for your current user base
Aspiring AI Forward Deployed Engineers (FDEs) who are currently employed in either an ML Engineering or Software Engineering role.
VSCode with GitHub Copilot (or equivalent) should be your daily driver already.
If you have never held a job where you contribute code to a production software environment, this class is not for you.
This means an understanding of training, testing, and inference for various model architectures, including LLMs
Live sessions
Learn directly from Dr. Greg Loughnane, Ph.D. & Matthew Sharp in a real-time, interactive format.
Access to world-class experts & personalized feedback
In addition to being hosted by Dr. Greg, you will be taught in our lectures by world-class experts who do this work every day. Within breakout rooms, you will be guided by peer supporters who are on similar journeys to master the role of AI FDE. For each assignment, your peer supporter will provide personalized feedback
The AI FDE Certification
Join hundreds who have created real ROI for themselves and their companies through an AI Makerspace certification
Maven Guarantee
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22 lessons • 10 projects
Live sessions
4 hrs / week
We hold class every Tuesday and Thursday at 7-9 PM ET. We always respect every minute of your time.
Weekly Projects
2-20 hrs / week
Weekly projects can be time-consuming depending on your background. However, the course is designed to align closely with the work you're doing weekly for your day job.
I joined AI Makerspace while looking to start my company, Publicus, and it’s also where I met my co-founder Joe. What amazed me was how inclusive the community is technical folks, researchers, and even non-developers and yet everyone still built, shipped, and shared real projects. The program completely reshaped how I use open-source tools and ship to production fast. I still rely on the teachings from [AI Makerspace] today. RAGAS and Evol-Instruct were game-changing takeaways that I now use to reduce hallucinations and build more reliable AI systems. It’s genuinely the best community for people who want to build real things in the real world

Akash Shetty
The Aithon journey started out of [The AI Engineering Bootcamp, Cohort 4]. A year later, the project idea has morphed into an AI-native GTM platform for regulated financial services. We are helping large Fintechs grow and expand their presence in enterprise financial services accounts. We combine external public and proprietary signals with customer’s first party data to spot whitespace and drive expansion across financial services enterprise accounts.

Nitin Gupta
What you guys have built is insane! On a totally different plane than [other courses]. So many cool, high-energy people in one place. Plus, you guys have made it feel like a dev bootcamp some people pay $8k to $16k for!

Eric Riddoch
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If you need help completing The AI Engineer Challenge, start here: https://bit.ly/aie-onramp

If you need help understanding how LLMs work, start here: https://bit.ly/llme

See how we can build, ship, and share. With you, a team, or an enterprise: http://bit.ly/4h3SFhb
Maven for Teams
Reimbursement
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