The AI Engineering Bootcamp
4.9 (48)
10 Weeks
·Cohort-based Course
Build production Agent applications in 2025 with leading frameworks and best practices, from prototype to production, cloud to on-prem.
This course is popular
4 people enrolled last week.
The AI Engineering Bootcamp
4.9 (48)
10 Weeks
·Cohort-based Course
Build production Agent applications in 2025 with leading frameworks and best practices, from prototype to production, cloud to on-prem.
This course is popular
4 people enrolled last week.
Industry-leading tooling, LLMs, & infra
Course overview
Prototype agentic apps and get them into Production. Ship fast, then scale.
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! Check out the student testimonials below.
Plus, every cohort culminates in a live Demo Day experience! In 2024, many of our graduates launched entirely new startups based on their demo day presentations! Take a look at some of the presentations
https://bit.ly/best-of-demo-day
Our Ethos
Build 🏗️, Ship 🚢, Share 🚀!
This is the secret to success in a 21st-century workforce, and you will live this every class, in 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 somewhat 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/aie5-curriculum
🤩 Demo Day Videos: https://bit.ly/best-of-demo-day
🎤 Student Interview Videos: https://bit.ly/aim-totw
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 is this course for
01
Data scientists and machine learning engineers aiming at becoming full-stack AI practitioners.
02
Software engineers who want to build complex LLM and agentic applications.
03
Technical product managers or execs who guide their teams on what to build, why, and how.
What you’ll get out of this course
🤩 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 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)
Build Retrieval Augmented Generation applications and ground LLM outputs in your own reference data!
⚖️ Fine-Tuning
Efficiently fine-tune LLM and embedding models to adapt to your task or domain!
🕴️ Agents
Build complex LLM applications capable of reasoning, action, and working with external tools!
🤔 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.
This course includes
Interactive live sessions
Lifetime access to course materials
118 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
Course syllabus
Week 1
🤖 Prompt Engineering, LLM APIs, and Prototyping Best Practices
🗃️ Embeddings and Retrieval Augment Generation (RAG)
Week 2
🚀 End-to-End RAG Prototype Deployments
🔗 Production-Grade RAG with LangChain Expression Language (LCEL)
Week 3
🕴️ Your First Agent Application with LangGraph
🌀 Multi-Agent Applications
Week 4
🪄 Synthetic Data Generation (SDG)
📈 Agentic RAG Evaluation
Week 5
🔤 Fine-Tuning Embedding Models
⚖️ Fine-Tuning Open-Source LLMs with Low-Rank Adaption
Week 6
🧑🎓 Midterm!
🤑 AIE Industry Use Cases
Week 7
🗂️ Advanced Retrieval for RAG Applications
🕴️ Advanced Agentic Reasoning
Week 8
🚀 Production-Ready Optimization Strategies
🌐 Deploying Scalable Open-Source Endpoints for Agentic Applications
Week 9
🏢 On-Premise Agents
💽 Inference and GPU Optimization
Week 10
🎤 Demo Day Dress Rehearsal
📸 Demo Day
4.9 (48 ratings)
What students are saying
Course schedule
4-8 hours per week
Tuesdays & Thursdays
4::00 - 6:00 PM PT
- W1: Jan 14th, 16th
- W2: Jan 21st, 23rd
- W3: Jan 28th, 30th
- W4: Feb 4th, 6th
- W5: Feb 11th, 13th
- W6: Feb 18th, 20th
- W7: Feb 25th, 27th
- W8: Mar 4th, 6th
- W9: Mar 11th, 13th
- W10: Mar 18th, 20th
* 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, July 25th at 4:00 PM PT
Open to the public - Friends, family, coworkers, and bosses welcome!
AIE1 Demo Day Playlist & LinkedIn Event
Instructor Office Hours
Weekly
Dr. Greg: Thursdays @ 8 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 9 AM PT: For International (EMEA) students, a Certified AI Engineer will hold weekly 60-minute deep dive sessions!
📅 Detailed Schedule - Updated for Cohort 5!
Understand how everything comes together in the course!
Get all the details about tools that we'll use for each project, how to become AI-Makerspace Certified, and the prerequisites you should be sure to have before enrolling!
Send me the deets ✌️
Send me some resources!!
Hear about student transformations at AI Makerspace!
We've had CROs and HR professionals become AIEs, and seen startups launched!
AI Engineering Demo Day!
Find playlists for all student demos in each cohort @ youtube.com/@AI-Makerspace
Hear from alumni, demo day judges, hiring partners, event partners, and community members!
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
FuturePath AI
LLM Ops: LLMs in Production
Meet your instructor
"Dr. Greg" Loughnane
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!
Chris "The Wiz 🪄" Alexiuk
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
The AI Engineering Bootcamp
AIE5
$2,999
Dates
Application Deadline
Build 🏗️, ship 🚢, and share 🚀 like a legend.
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.
Frequently Asked Questions
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**
- Build complex apps with LLM Ops frameworks including LangChain and LlamaIndex.
- Understand LLM product development methods, from prompting to retrieval and beyond.
- Build, deploy, evaluate, and operate your own end-to-end production RAG system.
Get the concepts and code!
Stay in the loop
Sign up to be the first to know about course updates.
Join an upcoming cohort
The AI Engineering Bootcamp
AIE5
$2,999
Dates
Application Deadline