4.9 (59)
10 Weeks
·Cohort-based Course
Become an AI Engineer in the world's leading community for people who want to build, ship, and share production LLM applications 🏗️🚢🚀.
4.9 (59)
10 Weeks
·Cohort-based Course
Become an AI Engineer in the world's leading community for people who want to build, ship, and share production LLM applications 🏗️🚢🚀.
Industry-leading tooling, LLMs, & infra
Course overview
**EXPANDED CAPACITY AND INTERNATIONAL TIME ZONES FOR COHORT 7**
Section 01: Live Sessions are Tuesday/Thursday 7-9 PM Eastern Time (ET), led by Dr. Greg & The Wiz
Section 02: Live Sessions are Tuesday/Thursday 7-9 PM Central European Time (CET), let by International Instructors
Let us know which section you're applying for in your application!
OUR COMMUNITY
🏗️ 🚢🚀 AI Makerspace is on a mission to create the world's leading community for people who want to build, ship, and share production LLM applications.
Welcome! We invite you to join our close-knit AI Makerspace community on YouTube (learn live weekly with us for free at 10 AM PT on Wednesdays!) or Discord to start building, shipping, and sharing with us today!
https://aimakerspace.io/
OUR COURSE
The AIE Bootcamp is truly a bootcamp. It's hard. It's a grind. But it will transform you! It will get you comfortable thriving at "The LLM Edge" and beyond. Our students don't just learn; they transform!
Plus, every cohort culminates in a live Demo Day experience! Many of our graduates have launched entirely new startups based on their demo day presentations!
To hear our student's stories and for a quick glance at all the tools you'll master, check out the following link now!
https://aimakerspace.io/the-ai-engineering-bootcamp/
OUR ETHOS
Build 🏗️, Ship 🚢, Share 🚀!
This is the secret to success in a 21st-century workforce, and you will live this every class, every week of the cohort!
🧑🤝🧑 Specifically, you will get hands-on experience building and sharing complex LLM and agentic applications weekly, receiving constant feedback during live sessions and through your homework submissions via instructors, peer supporters, and your fellow cohort members.
🙋 WHAT ARE THE PREREQUISITES
You must be familiar with Python programming, prompt engineering, and data science. However, most of all, you must be driven to succeed in Generative AI in 2025.
🙋 How will I know if it's right for me?
If you're unsure if this course be a fit for you, you'll find tons of resources on this page to help you decide, including:
📜 Curriculum & Detailed Schedule: https://bit.ly/aie7-curr
🤩 Demo Day Videos (from cohort 5): https://bit.ly/aie5-demos
🎤 Student Interview Videos: https://aimakerspace.io/category/transformations/
Here are a few long-form pieces of writing about the student experience:
- Richard Gower, Cohort 3: https://bit.ly/aie-cohort-3-reflections
- Ches Roldan's "20 Tips to Survive AI Makerspace’s AI Engineering Bootcamp (as a non-technical person)": https://bit.ly/aie-20tips
💰 How much do the tools cost?
Don't worry! This course is for the GPU-poor among us! This course adapts to industry-standard open-source software and compute hardware and is cloud platform agnostic. We strive to keep your additional costs low (below ~$100 total). Check Q&A for more info!**
WHO HAS TAKEN THIS COURSE
Since its launch in January 2024, over 250 people have taken the course!
A wide range of professionals have taken the course. A wide range of professionals took this class. Many participants were Software Engineers and Developers, reflecting a strong technical base. A significant portion were Data Scientists and Machine Learning/AI Specialists, indicating a focus on analytics, modeling, and artificial intelligence.
There were also numerous Executives and Leaders (CEOs, CTOs, Directors), Product/Project/Program Managers, Consultants, and even Professors or Students.
Here is a list of companies whose employees have already taken the course:
Google, Meta, Microsoft, Amazon, Samsung, Salesforce, IBM, Oracle, Bloomberg, Deloitte, Atlassian, SAP, Infosys, ServiceNow, Shopify, NetApp, Autodesk, Jio Platforms, JP Morgan Chase (JPMC), Walmart, Chevron, Expedia, NTT Data, Ernst & Young, Fannie Mae, National Grid, State Farm, USAA, BMO, TD Bank, Mercer, Kiewit, BP, CVS, Safran, Appian
The most important thing for anyone taking the course is to take it seriously. This advanced course requires commitment, debugging, resilience, and tenacity. These personal attributes matter much more than your current company or job title.
That said, software engineers and developers working in industry today have a leg up because many of the requirements (e.g., dev environment, interacting regularly with GitHub, writing code) will not seem new or foreign.
WHAT STUDENTS (REALLY) SAID ABOUT COHORT 5:
We collect feedback every single class. Here is an analysis of the 160 pieces of feedback that we received on the question "Is there anything else you'd like to share with us?" that we asked at the end of each of the 20 live sessions, completed by ChatGPT with the o1 model in April, 2025.
Highly Positive Themes
- Students repeatedly praise the instructors’ expertise and clarity.
- Many love the breakout rooms, citing them as a key differentiator from other courses.
- There is strong enthusiasm about practical coding sessions, community support, and peer supporters.
- Several comments mention that they are already deploying real applications and seeing immediate value, which is a significant selling point for future students.
Neutral or Constructive Feedback
- A few suggestions for improving logistics (e.g., link consistency, environment setup, more thorough instructions).
- Requests for additional examples and smaller breakout groups.
- A handful of people struggled with first-class onboarding or missed classes due to personal constraints.
Negative or Dissatisfied Feedback
- Some frustration around external tool links (Discord, GitHub) not working seamlessly.
- Occasional complaints about environment setup challenges.
- A single extended critique about missing the first day and feeling lost initially, but that student did eventually get on track.
We are always working to improve our product, our student experience, and our processes! You can count on the fact that we've taken the feedback into account for Cohort 6 and beyond!
Here were the top 10 direct quotes:
1. “One of the best lessons I’ve ever had. The instructor’s level of expertise is high and his communication is extremely easy to understand. I have grasped all the concepts.”
2. “This session was pure gold, seeing actual applications, really nice!”
3. “I am having lots of fun and learning. LOVE THE ENERGY! Let’s go.”
4. “The breakout rooms are absolutely fantastic. Peer Supporters are bae.”
5. “The breakout rooms are just so good – easily sets it apart from 90% of other courses out there.”
6. “It was a great session today. Super helpful and getting clearer. Amazing job everyone. Love this!!!!”
7. “I have deployed and built a number of applications right from the first sessions of the course. Knowledge also helps me in self-study and research.”
8/ “This class was worth every dollar, thank you guys!”
9. “Thank you for an amazing ride! <3”
10. “I complained last time about the breakout rooms not being long enough and the lectures being too long. This time I think the ratio was GLORIOUS PERFECTION!”
01
Software engineers and developers who want to build complex LLM and agentic applications.
02
Data scientists and machine learning engineers aiming at becoming full-stack AI practitioners.
03
Technical product managers or execs who guide their teams on what to build, why, and how.
🤩 Demo Day!
You will present a unique project live to a cohort of your peers and the public!
💼 Hiring Opportunities
Certified AI Engineers get direct access to job opportunities from our network
🧑🤝🧑 Peer-Supported Live Coding
Work with certified AI Engineers in dedicated small Journey groups to discuss and code throughout the cohort!
🤝 1:1 Career Coaching
Student success will help you achieve your goals before and after certification!
🧑💻 Prompt Engineering
Leverage in-context learning as an engineer for prototyping, RAG applications, agents, and more!
🙋 Retrieval Augmented Generation (RAG)
Best-practice RAG tooling, techniques, and best-practices exist now. Learn them!
🕴️ Agents
Build complex LLM applications capable of reasoning, action, and working with external tools!
⚖️ Fine-Tuning
Efficiently fine-tune LLM and embedding models to adapt to your task or domain!
🤔 Reasoning & Test-Time Compute
From o1 to agentic conversation programming, we'll cover the latest in LLM reasoning and frameworks.
📈 Evaluation
Instrument agent applications for metrics-driven development to show your quality improvements quantiatively.
🔎 Observability
Debug, test, and monitor applications built using any leading LLM framework!
📊 Inference Optimization
Learn the leading tools and quantization techniques to accelerate inference for the latency and throughput you need.
🏢 On-Prem Serving
Learn to efficiently leverage resources so you can keep your data super private in the years to come.
Interactive live sessions
Lifetime access to course materials
132 in-depth lessons
Direct access to instructor
18 projects to apply learnings
Guided feedback & reflection
Private community of peers
Course certificate upon completion
Maven Satisfaction Guarantee
This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.
The AI Engineering Bootcamp
4.9 (59 ratings)
Average of 15 self-assessed AIE learning transformations in Cohort 5 across 9 dims on a 0-10 scale.
📅 Detailed Course Schedule & Curriculum - Updated for Cohort 7!
Understand how everything comes together in the course!
Key updates for the Enterprise: A focus on the importance of On-Prem solutions as the first phase in the journey of the aspiring AI Engineer or leader looking for product adoptions. However, it is only Phase I of 5 phases...
Get all the details about tools we'll use and relevant papers for each project assignment, how to become AI-Makerspace Certified, and prerequisite learning pathways.
Send me some resources!!
4-8 hours per week
Tuesdays & Thursdays
(01) 4-6 PM PT | (02) 7-9 PM CET
* All sessions are recorded!
Weekly Programming Projects
2-4 hours per week
Each class period, we will get hands-on with Python coding homework!
Demo Day!
Thursday, June 5th at 4:00 PM PT
Instructor Office Hours
Weekly
Dr. Greg: Thursdays @ 10 AM PT
The Wiz 🪄: Fridays @ 3 PM PT
Peer Supporter Office Hours
Weekly
We typically cover 6-7 days per week with 1 or more office hours held by peer supporters!
International-Friendly Weekly Deep Dive Sessions
Varies
Tuesdays at 10 AM PT: For International (EMEA) students, a Certified AI Engineer will hold weekly 60-minute deep dive sessions!
LLM Engineering, Cohort 3 Full Course ~ a $1999 value
Master language models and embedding models through training, fine-tuning, aligning, distilling, and merging transformer architectures!
Get access to lectures, code repositories, and more!
We highly recommend all students taking The AI Engineering Bootcamp to go through this material first!
Why? It turns out that it's super helpful to understand what's happening inside of the LLM when you try to build complex applications with them.
Not required, mind you, but super helpful.
Get started building, shipping, and sharing for free now 👇
Get this free resource
LLM Foundations, a FREE 5-Day Email Course
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.
Show me where to sign up!
André Fichel
Monalisha Singh
Savrin Darash
Julien de Lambilly
Mike Chrabaszcz
Yohan Mathew
Jithin James
Charles Goddard
Anjela Milani McGraw
Michael Santo Domingo
Debora Andrade, Ph.D.
Bikram Maharjan
Katrien Cruz Grobler
Harpreet Sahota
Cesáreo González Alvarez
Erin Lyman
Ravi Chandu Ummadisetti
LLM Ops: LLMs in Production
Learn LLM Ops for Free, Async!
Access all of the concepts and code directly on YouTube to start building, shipping, and sharing with LLM Ops!
**Note: This is from cohort 1 which we ran between August and September of 2023**
Get the concepts and code!
Co-Founder & CEO @ AI Makerspace
In 2023, we created the LLM Engineering: The Foundations and LLM Ops: LLMs in Production courses on Maven!
From 2021-2023 I led the product & curriculum team at FourthBrain (Backed by Andrew Ng's AI Fund) to build industry-leading online bootcamps in ML Engineering and ML Operations (MLOps).
Previously, I worked as an AI product manager, university professor, data science consultant, AI startup advisor, and ML researcher; TEDx & keynote speaker, lecturing since 2013.
👨🏫 Learn with us free on YouTube!
👨💼 Connect with me on LinkedIn!
Co-Founder & CTO @ AI Makerspace
In 2023, we created the LLM Engineering: The Foundations and LLM Ops: LLMs in Production courses on Maven!
During the day, I work as a Developer Advocate for NVIDIA. Previously, I worked with Greg at FourthBrain (Backed by Andrew Ng's AI Fund) on MLE and MLOps courses, and on a few Deeplearning.ai events!
A former founding MLE and data scientist, these days you can find me cranking out Machine Learning and LLM content!
My motto is "Build, build, build!", and I'm excited to get building with all of you!
👨🏫 YouTube: AI Makerspace Official, My Personal
👨💼 Connect with me on LinkedIn!
Join an upcoming cohort
Cohort 7
$2,999
Dates
Application Deadline
Active hands-on learning at the edge
We teach concepts AND code. Never one or the other. AI has accelerated so quickly that anyone who's been a manager the last few years has not yet seen the code for themselves.
Project-based and community-driven
You’ll be interacting with other learners through breakout rooms and project teams. We can't wait to see what you build, ship, and share on Demo Day projects 🤩.
Find fellow travelers for your journey
Join a community of like-minded AI practitioners who are all in on Generative AI, and who are heading down the same career path as you are.
Sign up to be the first to know about course updates.
Join an upcoming cohort
Cohort 7
$2,999
Dates
Application Deadline