The PLACE Where
become Legends!
From data scientist to developer to CTO, our free resources, courses, and bootcamps give you the hands-on training needed to build and deploy LLM applications into production.
To stay relevant in 2025, companies will prioritize AI Engineering over LLM Engineering. As the development of Small Language Models (SLMs) becomes part of the regular product development process, jobs that focus on the data science of Large Language Models, will become more prevalent.
For Data Scientists, this means adding engineering to your skill set, which can be difficult, but not impossible. AI Makerspace has optimized the learning paths and curriculums to help them achieve this goal, by taking it one step at a time.
For the Software Engineers out there, while job security has never been better, you're in a position to significantly increase your salary, lead a team, or launch a company by adding AI Engineering to your base skills.
Pick your path
What are you trying to accomplish over the next 12 months?
Increase salary
Career growth
Looking to move from data science, R&D, or another field to AI Engineering? Want to adapt the skills you've developed in a specific industry to LLMs? Or maybe you're ready to start your own company.
Team leader
Not sure?
You'll go deep into building RAG & Agents with LangChain, understand how to fine-tune embeddings, deploy applications to production and in the cloud and on-prem, and then how to monitor and evaluate with LLM operations.
The AI Engineering Bootcamp is a 10 week, live, instructor-led course that will push you to your limits. From prototyping to production, you'll learn best practices using the four primary patterns of Gen AI as first principles: prompt engineering, retrieval augmented generation (RAG), fine-tuning LLM and embedding models, and agents.
Learn MoreData scientists and machine learning engineers aiming at becoming full-stack AI practitioners.
Software engineers who want to build complex LLM applications.
Technical product managers who guide their teams on what to build, why to build it, and how it should be built.
Learn More💼 Hiring Opportunities! Certified AI Engineers get direct access to job opportunities from our network
🧑 Peer-Supported Live Coding! Work with certified AI Engineers in small groups to discuss and code every class!
🤩 Demo Day! You will present a unique project live to a cohort of your peers and the public!
Learn More.accordion-flush class. This is the second item's accordion body. Let's imagine this being filled with some actual content.LLM Engineering
Course
Get inside the LLM. You'll master language and embedding models through training, fine-tuning, aligning, distilling, and merging transformer architectures.
The LLM Engineering Course is a 6 week, live, instructor-led course that will provide you with the foundational concepts and code to train, fine-tune, and align state-of-the-art SLMs and LLMs using industry-standard and emerging approaches from the open-source edge heading into 2025.
Learn MoreData scientists, researchersand engineers experienced with classical ML who want to build custom Small Language Models (SLM).
Product managers who need to understand the core concepts and code behind custom SLMs to effectively lead their product teams.
Stakeholders who aim to train, fine-tune, or align proprietary SLMs for their customers in 2025.
Learn More🦾 Build, train, and evaluate Language Models using transformer variants (GPT, BERT, BART)!
🔠 Demystify embedding layers, embedding representations, pre-trained vs. learned embeddings, ROPE, and more!
🚇 Complete unsupervised and continued pretraining of LLMs and SLMs from scratch!
🛤️ Align LMs to balance helpfulness with harmlessness and other criteria (RLXF, DPO!)
🚀 Explore frontiers of Language Models (Mixture-of- approaches, Model Merging, alternative fine-tuning, and more!)
Learn MoreWeek 1 Cohort Kick-Off! Learn More
Colin Davis
Head of Marketing
Zachary Arose
Healthcare Technology Manager
US Dept. of Veterans Affairs
Dr. Steven Gawthorpe
Associate Director,
Berkeley Research Group LLC.
Erin Lyman
Founder,
Code Sprinkles
Todd Deshane
CEO,
Intersecto, LLC.
Jonathan Hodges
Head of AI & Machine Learning,
Userpilot
Cohorts Completed
Certified Graduates
Total Students
Discord Members
AIE vs. LLME
Side-by-side comparison of the The AI Engineering bootcamp and the LLM Engineering course, to give you decide the best path forward in your learning journey.
| AIE Bootcamp | LLME Course | |
|---|---|---|
| Best starting point for | Software Engineering | Data Science, Product |
| Be conversant with | Software Engineering | Data Science, Product |
| Prerequisite AI/ML skills | Local IDE with version control | Jupyter Notebook |
| Prerequisite Eng. skills | None | Training ML & DL models |
| Preclass Challenge | Required to enroll | Recommended, not required |
| Est Time Commitment | 10+ hrs per week | 5+ hrs per week |
| Weekly Reading | More docs and repos | More papers and blogs |
| Course Certification | Yes! Become AIM-Certified | No. Completion only. |
| Demo Day? | Yes! Be featured on YouTube! | No. Curriculum only. |
WORLD-CLASS
AI Makerspace classes give you the tools you'll need to nail the interview, lead the team, build the thing, or start the business. All you have to do, is enroll.
Live, Instructor Led
Every AI Makerspace class is led by Dr. Greg Loughnane & Chris "The Wiz" Alexiuk. Text and more text here with some scattered here too.
Peer Support
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Breakout Rooms
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Homework Feedback
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The Onramp
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Real Accountability
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