LLM FOUNDATIONS

Understand how LLMs actually work in just 5 days, without drowning in academic papers

Ready to master the
fundamentals of LLMs?

Do you want to really understand how LLMs work "under the hood" from concepts to code

Everyone drives cars, but how many people really know how the engine works?

Whether you're looking to nail AI Engineer interviews or lead an entire AI Engineering team, positioning yourself the LLM expert in your context is just five days away.

Day 1 - Transformers: Attention Is NOT All You Need, but what else?

Day 2 - Attention: Are LLMs magical, or do they just pay attention?

Day 3 - Embeddings: Layers, models, representations, or all of the above?

Day 4 - Training: Let's train a GPT from scratch! Loss is the key.

Day 5 - Inference: Understand how transformers predict the next-token

People Are Talking

From non-programming data scientists to Fortune 500 CTO's, students are seeing real returns on their investments! Graduates are getting promoted, starting new careers, launching companies, and working on real-world Gen AI projects, every day!

Dave

Customer Engineer
Google

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. There's also a midterm and a final that are no joke.

Cheselle Jan Roldan


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.

Steven Gawthorpe

Associate Director
Berkeley Research Group LLC.

AI Makerspace excels where others have come up short, empowering data scientists with the vital practical skills to flourish within the AI landscape. Through collaborations with industry trailblazers, they guarantee a concentration on the most pertinent and crucial expertise. They bring people up to speed on a subject that never slows down.

Vinod

Financial Economist

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.

Todd Deshane

CEO
Intersecto, LLC.

What a community that is being built from the ground up, on the cutting-edge, with enthusiasm. They have attracted a special group of practitioners and are selective in the process. At the intersection of data science, machine learning engineering, and MLOps comes the current future of LLMOps and building what’s next in this space.

Colin Davis

Head Of Marketing

The AI Engineering bootcamp... has significant advantages for enterprise data teams. After having multiple team members complete the bootcamp, our approach to Generative AI projects has become more streamlined and effective, leading to faster prototyping. I strongly recommend this course to any data professional or team eager to upgrade their Gen AI skills and drive impactful innovation within their organization.

Jimmy

Data scientist
BMO

Amazing course! Learned a lot in 10 weeks. It was tough but totally worth it. I can't believe I was able to build the product in the end.

Aaron

Sr. Data Scientist
North Star Analytics

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!

Robert Fitoš

AI Tribe Lead
Hrvatski Telekom

The reactions from the team were overwhelmingly positive. They learned a lot and liked the way your Bootcamp is structured. Most importantly, they felt pride in completing the challenges... There was blood, sweat, and tears, but a huge sense of accomplishment! I will explore opportunities to work together in the future, so please keep me in the loop on what you're building over there.
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