The AI Engineering Bootcamp
4.9 (34)
10 Weeks
·Cohort-based Course
Build RAG & Agents w/ LangChain. Fine-Tune Embeddings & Llama 3.1. Deploy to Prod in the Cloud & On-Prem. Monitor and Evaluate w/ LLM Ops
The AI Engineering Bootcamp
4.9 (34)
10 Weeks
·Cohort-based Course
Build RAG & Agents w/ LangChain. Fine-Tune Embeddings & Llama 3.1. Deploy to Prod in the Cloud & On-Prem. Monitor and Evaluate w/ LLM Ops
Build with industry-leading LLM tooling
Course overview
Prototype LLM apps and get them into Production. Ship fast, then scale.
👋 Welcome to your next great LLM adventure!
🏗️ 🚢🚀 We invite you to join the close-knit AI Makerspace community and start building, shipping, and sharing with us!
🤩 Each cohort culminates in a unique live Demo Day experience!
🧑💻 You will learn to prototype LLM applications according to best practices, using the four primary patterns of Generative AI as first principles: Prompt Engineering, Retrieval Augmented Generation (RAG), Fine-Tuning (of LLMs and embedding models), and Agents.
🧑🤝🧑 You will get hands-on building and sharing complex LLM applications weekly, receiving constant feedback during live sessions and through your homework submissions via instructors, peer supporters, and your fellow cohort members.
📇 RAG systems are front and center in the course. You'll learn how to build applications from quick prototypes with OpenAI GPT models to scalable production applications with the latest open-source LLMs and embedding models.
☁️ While never getting locked into a single cloud-computing vendor, you'll orchestrate systems from scratch in Python and using core version-controlled LangChain constructs, the leading framework for building production LLM applications.
🧐 You will outfit your applications with visibility and monitoring tooling from LangSmith, and you'll learn to evaluate your applications' inputs, outputs, and usage!
🚀 Optimize your prompting with DSPy, your RAG applications with advanced retrieval and chunking, and your LLM inference and serving with AWQ and vLLM!
--
**NOTES**
**💰 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!**
**🙋 What are the prerequisites?
All applicants must complete THE AI ENGINEERING BOOTCAMP CHALLENGE. This will require you to set up your LLM application development environment and deploy your first LLM application!
If you're unsure if this could be a fit for you, submit your application and give the challenge a try! It is the best way to test whether or not this level of coding and detail is what you're looking for**
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 applications.
03
Technical product managers who guide their teams on what to build, why, and how.
What you’ll get out of this course
🤝 1:1 Career Coaching
Student success will help you achieve your goals before and after certification!
💼 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!
🙋 Retrieval Augmented Generation (RAG)
Build Retrieval Augmented Generation applications and ground LLM outputs in your own reference data!
🕴️ Agents
Build complex LLM applications capable of reasoning, action, and working with external tools!
🧑💻 Prompt Engineering
Leverage in-context learning as an engineer for prototyping, RAG applications, agents, and more!
🔢 Embedding Fine-Tuning
Adapt open-source embedding models to your domain-specific language or data!
⚖️ LLM Fine-Tuning
Efficiently train LLMs to perform specific tasks using techniques like PEFT-LoRA and quantization!
📈 Evaluation
Instrument LLM applications for quantitative metrics-driven development!
🔎 Visibility
Debug, test, and monitor applications built using any leading LLM framework!
🚀 Inference & Serving
Ensure efficient and scalable inference using the right tools and techniques!
This course includes
Interactive live sessions
Lifetime access to course materials
103 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 Your First GPT
🗃️ Embeddings and Your First RAG Applications
Week 2
🚀 End-to-End RAG Deployment
🔗 Production-Grade RAG with LangChain
Week 3
🕴️ Your First Agent Application with LangGraph
🌀 Multi-Agent Applications
Week 4
🪄 Synthetic Data Generation
📈 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 Prompt Engineering
🗂️ Advanced RAG
Week 8
🚀 Production-Ready Optimization Strategies
🌐 Deploying Scalable Open-Source Endpoints for RAG
Week 9
🏢 On-Premise Agentic RAG
💽 Inference, Serving and GPU Optimization
Week 10
🎤 Demo Day Dress Rehearsal
📸 Demo Day
4.9 (34 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!
AI Engineering Demo Day!
See the playlist of all demos from Cohort 2 @ bit.ly/aie3-demos
📅 Detailed Schedule!
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 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
Ascent Business Systems
FuturePath AI
LLM Ops: LLMs in Production
LLM Engineering: The Foundations
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