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The AI Engineering Bootcamp
4.9
(12 ratings)
9 Weeks
·Cohort-based Course
Build LLM, RAG, and Agent apps with LangChain, LlamaIndex, and GPT-4o. Fine-Tune Embeddings & Llama 3. Deploy to production. Learn LLM Ops!
Build with industry-leading LLM tooling
This course is popular
6 people enrolled last week.
Course overview
Prototype LLM apps and get them into Production. Learn to leverage LLM Ops.
Welcome to your next great LLM adventure!
We invite you to join the close-knit AI Makerspace community, and start building, shipping, and sharing from prototyping to production to Demo Day!
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 practice building complex LLM applications, and sharing your new expertise weekly with instructors, peers who have been there before, and your fellow cohort members.
From data processing, prompt iteration iterations of hands-on practice of deploying LLM web applications to a public URL with a slick user interface!
While never getting locked into a single cloud-computing vendor, you will learn how to build quick prototypes to share with others, as well as how to build production-grade applications with scalable endpoints that leverage the latest open-source models. As the center point of the course, RAG systems, you will get to know RAG systems in great depth, including LangChain and LlamaIndex frameworks, and how to assess and improve their performance.
You will outfit your applications with visibility tooling, starting with WandB prompts and transitioning to LangSmith.
**Note: This course adapts to industry-standard open-source software and compute hardware, and is (mostly) 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, machine learning engineers, data engineers, and prompt engineers aiming at becoming full-stack AI practitioners.
02
Software engineers and developers who want to design, assemble, and operate complex LLM applications.
03
AI engineering leaders and technical managers responsible for guiding their teams on what to build, why, and with what tooling.
What you’ll get out of this course
🪄 Become an LLM Wizard
Build 10 different LLM applications and fine-tune open-source models!
🤩 Demo Day!
You will present a unique project live to a cohort of your peers and the public!
🧑💻 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!
⚖️ LLM Fine-Tuning
Efficiently train LLMs to perform specific tasks using techniques like PEFT-LoRA and quantization!
🔢 Embedding Fine-Tuning
Adapt open-source embedding models to domain-specific language appropriate to your data
🕴️ Agents
Build complex LLM applications capable of reasoning, action, and working with external tools!
📈 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!
**Note: Advanced AI Engineering is the follow-on course that we've centered around optimizing inference and serving architecture for production RAG applications.**
This course includes
Interactive live sessions
Lifetime access to course materials
60 in-depth lessons
Direct access to instructor
13 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
May 28—Jun 2
Week dates are set to instructor's time zoneModules
- 🤖 First GPT🤖 First GPT4 Lessons • 1 Project
- 🏗️ First LLM Application🏗️ First LLM Application3 Lessons • 1 Project
Week 2
Jun 3—Jun 9
Week dates are set to instructor's time zoneModules
- 🗃️ First RAG Application🗃️ First RAG Application5 Lessons • 1 Project
- 🕴️ First Agent Application🕴️ First Agent Application4 Lessons • 2 Projects
Week 3
Jun 10—Jun 16
Week dates are set to instructor's time zoneModules
- ⚖️ First Fine-Tuning⚖️ First Fine-Tuning4 Lessons • 1 Project
- 🔗 LangChain RAG🔗 LangChain RAG5 Lessons • 1 Project
Week 4
Jun 17—Jun 23
Week dates are set to instructor's time zoneModules
- 🦾 Prototyping End-to-End RAG Applications🦾 Prototyping End-to-End RAG Applications3 Lessons
- 📈 RAG Evaluation📈 RAG Evaluation5 Lessons • 1 Project
Week 5
Jun 24—Jun 30
Week dates are set to instructor's time zoneModules
- 🦙 LlamaIndex RAG🦙 LlamaIndex RAG5 Lessons • 1 Project
- 🚀 Open-Source Production RAG🚀 Open-Source Production RAG4 Lessons • 1 Project
Week 6
Jul 1—Jul 7
Week dates are set to instructor's time zoneModules
- ⚖️ Fine-Tuning Open-Source LLMs⚖️ Fine-Tuning Open-Source LLMs5 Lessons • 1 Project
Week 7
Jul 8—Jul 14
Week dates are set to instructor's time zoneModules
- 🔄 Agentic Production RAG🔄 Agentic Production RAG3 Lessons • 1 Project
Week 8
Jul 15—Jul 21
Week dates are set to instructor's time zoneModules
- 🤑 AIE Industry Use Cases🤑 AIE Industry Use Cases4 Lessons • 1 Project
Week 9
Jul 22—Jul 25
Week dates are set to instructor's time zoneModules
- 🤩 Curriculum Wrap Up and Demo Day Dress Rehearsal🤩 Curriculum Wrap Up and Demo Day Dress Rehearsal4 Lessons
- 📸 Demo Day📸 Demo Day2 Lessons
4.9
(12 ratings)
What students are saying
Hear about the syllabus directly from Dr. Greg!
It's all about the patterns of RAG, fine-tuning, and agentic behavior that you'll learn to leverage!
Hear from our alumni and partners!
Anjela Milani McGraw
Michael Santo Domingo
Bikram Maharjan
Debora Andrade, Ph.D.
Katrien Cruz Grobler
Cesáreo González Alvarez
Harpreet Sahota
Erin Lyman
Jithin James
LLM Ops: LLMs in Production
LLM Engineering: The Foundations
Ascent Business Systems
FuturePath AI
Your AI Engineering Learning Transformation Awaits!
Average of 21 self-assessed AIE learning transformations in Cohort 1 across 8 dims on a 0-10 scale.
AI Engineering Demo Day!
See the playlist of all demos from Cohort 1 @ bit.ly/aie1-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!!
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
AIE3
$2,500 USD
Dates
Application Deadline
Course schedule
4-6 hours per week
Tuesdays & Thursdays
4::00 - 6:00 PM PT
- W1: May 28th, 30th
- W2: June 4th, 6th
- W3: June 11th, 13th
- W4: June 18th, 20th
- W5: June 25th, 27th
- W6a: Tues, July 2nd
- BREAK - July 4th
- W6b: Tues, July 9th
- BREAK - TMLS, July 12-15th
- W7a: Thurs, July 18th
- W7b: Tues, July 23rd
- Demos: Thurs, July 25th
* All sessions are recorded!
Weekly Programming Projects
2-4 hours per week
Each class period, we will get hands-on with Python coding homework!
**Disclaimer: early in the cohort it may take longer to complete assignments as you get used to the basic tools!**
Demo Day!
Thursday, July 18th at 4:00 PM PT
Open to the pubic - Friends, family, coworkers and bosses welcome!
Office Hours
Monday and Friday
Dr. Greg: Mondays @ 7:30 AM PT
The Wiz 🪄: Fridays @ 3 PM PT
Peer Support Sessions
Varies
Peers supporters are here to serve as your destination group; they're available for homework help, concept deep dives, and to hang out with!
Find them live in class, on Discord, and even in their own dedicated weekly sessions!
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
Are all live sessions recorded!
I work full-time, what is the expected time commitment?
What’s the refund policy?
Does AI Makerspace offer any discounts for buying multiple seats?
Will we use AWS, Azure, or GCP?
What additional costs for compute or hosting will I be responsible for?
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
AIE3
$2,500 USD
Dates
Application Deadline