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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

OpenAI
Hugging Face
LangChain
LlamaIndex
Amazon Web Services

This course is popular

18 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 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 get comfortable with both LangChain and LlamaIndex frameworks.


🧐 You will outfit your applications with visibility and monitoring tooling, from WandB prompts to LangSmith.


--


**NOTES**


**💰 How much do the tools cost?


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, 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

🤩 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 domain-specific language appropriate to your 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!


**Note: Advanced AI Engineering is in the works and will be centered around optimizing inference and serving architecture for production RAG and agentic applications.**

🪄 Become an LLM Wizard

Build 10 different LLM applications and fine-tune open-source models!

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.

Course syllabus

Expand all modules

  • Week 1

    May 28—Jun 2

    Week dates are set to instructor's time zone

    Modules

    • 🤖 First GPT

    • 🏗️ First LLM Application

  • Week 2

    Jun 3—Jun 9

    Week dates are set to instructor's time zone

    Modules

    • 🗃️ First RAG Application

    • 🕴️ First Agent Application

  • Week 3

    Jun 10—Jun 16

    Week dates are set to instructor's time zone

    Modules

    • ⚖️ First Fine-Tuning

    • 🔗 LangChain RAG

  • Week 4

    Jun 17—Jun 23

    Week dates are set to instructor's time zone

    Modules

    • 🦾 Prototyping End-to-End RAG Applications

    • 📈 RAG Evaluation

  • Week 5

    Jun 24—Jun 30

    Week dates are set to instructor's time zone

    Modules

    • 🦙 LlamaIndex RAG

    • 🚀 Open-Source Production RAG

  • Week 6

    Jul 1—Jul 7

    Week dates are set to instructor's time zone

    Modules

    • ⚖️ Fine-Tuning Open-Source LLMs

  • Week 7

    Jul 8—Jul 14

    Week dates are set to instructor's time zone

    Modules

    • 🔄 Agentic Production RAG

  • Week 8

    Jul 15—Jul 21

    Week dates are set to instructor's time zone

    Modules

    • 🤑 AIE Industry Use Cases

  • Week 9

    Jul 22—Jul 27

    Week dates are set to instructor's time zone

    Modules

    • 🤩 Curriculum Wrap Up and Demo Day Dress Rehearsal

    • 📸 Demo Day

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 alumni, demo day judges, hiring partners, event partners, and community members!

        I thought this cohort-based approach was the way to set accountability, and boy did you guys set a high bar! We had a very fast-paced 7 weeks, and the accountability did make it great. It all comes together at the end and makes sense.
André Fichel

André Fichel

CTO, Akad Seguros, ex-Apple | ex-Amazon
        I didn't know what Google Colab was before I joined this course! I was so new to this domain. For an upcoming NetApp Hackathon I'm proposing to fine-tune LLMs, so you can see the difference 7 weeks has made! It's already created buzz at my workplace ... it was fun learning hands-on rather than textbook or 'strategy for AI implementation' stuff!
Monalisha Singh

Monalisha Singh

Member of Technical Staff, NetApp; Software Engineer | Innovator | Women in Tech Advocate | Cloud & AI Enthusiast | Mentor
        I'm amazed by the community, the product, and the value delivered to students. Most educational courses only give you knowledge but don't push you to build. AIM has perfected learning through building. I truly enjoyed every moment of this course. "You're gonna suffer but you're gonna be happy about it" from Harry Potter sums it up. Thanks!
Savrin Darash

Savrin Darash

Data Scientist @ CVS Health
        Bravo for successfully finding the right balance between assignments, quizzes, and activities to complete in the notebooks. It's very well thought out and balanced! I joined the cohort 1 Demo Day and said to myself, "WOW this is what I need!" Let's join cohort 2!
Julien de Lambilly

Julien de Lambilly

Lead AI Architect, Digit8 Group SA; Full-Stack Developer and Data Scientist
        You create a safe place to learn. To become somebody who is a doer, not just a knower, it means that you've got to BELIEVE that you can do it. And that's what this community does...It gives me the ability to believe in this, and to believe that 'I'm going to be DOING this!' and that's the best part.
Mike Chrabaszcz

Mike Chrabaszcz

Emerging Technology Researcher @ Crabash; Engineering Leader - People: Team Building; Process: Optimization; Product: Mobile, AI, IoT
        Having looked for quite a while to find a boot camp or a course that spoke to me, I found you guys and checked out your YouTube - that's what showed me that y'all were legit and of course, once I've joined the community it's just been amazing.
Yohan Mathew

Yohan Mathew

Responsible AI & Tech | Ex-entrepreneur, large & small orgs, non-profits
        Your team [does] a really good job - even better than us at explaining how RAGAS (RAG ASessment) metrics work!
Jithin James

Jithin James

RAG ASessment (RAGAS) Co-Founder and Maintainer (YC W24 Batch)
        I saw a lot of great projects during Demo Day. I saw a lot of people solving real problems. Some really solid foundations were built up here. My advice, though, is to get weirder with it. Things are moving so fast that evaluating what's real and what's crazy is really difficult right now.
Charles Goddard

Charles Goddard

Senior Research Engineer @ Arcee.ai, Creator of mergekit, ex-Apple, ex-NASA
        Over the past 12 months, I have been engrossed in two disparate journeys that have transformed my life- motherhood and professional development in the AI space. ... These certificates [LLM Engineering / AI Engineering] are a testament to the sweat, tears, and, above all, the unwavering support from AI Makerspace who stood by me every step of the
Anjela Milani McGraw

Anjela Milani McGraw

USMC Veteran ◆ AI/ML Automation ◆ AI Consultant
        /imagine hogwarts, but AI engineering, with ultra-futuristic halls and all the moving images on the wall are generated by Sora. --ar 16:9...That's AI Makerspace!
Michael Santo Domingo

Michael Santo Domingo

Software Engineer @ Zipline App
        The AI Engineering was an absolutely phenomenal bootcamp that had me working as hard on my projects as I had been in the toughest period of my PhD studies. Also similarly to that time, I was surrounded by brilliant minds. It really brought back that magical feeling of sweat, tears and great happiness :)
Debora Andrade, Ph.D.

Debora Andrade, Ph.D.

AI Consultant, Oxford Ph.D., Imperial College London Postdoc
        It is the "state of the art" bootcamp. The best of the best, ever. Thank you AIM Team, you are precious. I would challenge you to be even better, but in all honesty, you have set a standard of excellence that surpasses expectations. The impact you're making is truly invaluable.
Bikram Maharjan

Bikram Maharjan

Aspiring AI Engineer, ex-PayPal
        The community that got me on my new path will always be very close to my heart. I got the amazing connection of my CTO and the rest of the team through AI Makerspace. 
Katrien Cruz Grobler

Katrien Cruz Grobler

Founder, AI KAT, ex-Vodafone, ex-Unilever, ex-Reckitt Benckiser
        Everything I know about AI Engineering I learned from AI Makerspace.
Harpreet Sahota

Harpreet Sahota

🤖 Generative AI Hacker | 👨🏽‍💻 AI Engineer | 👷🏽‍♀️ Developer Advocate | Building🏗️-Shipping🚢-Sharing🚀
        A big shout-out to the amazing team at AI Makerspace for their unparalleled support and guidance throughout this transformative experience. For my project, I [developed] SafeMate, a POC LLM app designed to enhance safety and security. With the support of Telice, we are committed to evolving SafeMate from a concept into a fully operation solution.
Cesáreo González Alvarez

Cesáreo González Alvarez

CEO & Board Member @ Telice; Innovation and digital transformation | Railways | Tunnels | Technology
        I cannot say enough good things about AI Makerspace. I would absolutely recommend this course to a friend or a coworker. I am very excited to be a part of the AIM community ongoing.
Erin Lyman

Erin Lyman

Founder @ Code Sprinkles, Consultant & Research Fellow @ FemHealth Insights
        "We value experience in AI Makerspace programs and are keen to identify individuals who have engaged in such specialized training." ~ Ravi Chandu Ummadisetti, Practice Lead, Generative AI
Ascent Business Systems

Ascent Business Systems

An AI Makerspace Preferred Hiring Partner
        The top-performing graduates from The AI Engineering Bootcamp will be given the opportunity to interview for Machine Learning positions as consultants or as full-time employees with FuturePath AI’s clients." ~ Maruti Agarwal, Fr. Partner & Co-Founder
FuturePath AI

FuturePath AI

An AI Makerspace Preferred Hiring Partner
        Check out our 4.9/5-star rating (23 responses) from our 4-week LLM Ops Bootcamp. We started teaching RAG and Agents here!
LLM Ops: LLMs in Production

LLM Ops: LLMs in Production

maven.com/aimakerspace/llmops
        Check out our 4.6/5-star rating (13 responses) for our 4-week LLM Engineering Bootcamp. We started teaching Fine-Tuning here!
LLM Engineering: The Foundations

LLM Engineering: The Foundations

maven.com/aimakerspace/llm-engineering

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.
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
Free resource

📅 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

"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

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!

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Join an upcoming cohort

The AI Engineering Bootcamp

AIE3

$2,500 USD

Dates

May 28—July 27, 2024

Application Deadline

May 28, 2024
|

Bulk purchases

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!


    AIE1 Demo Day Playlist & LinkedIn Event

  • 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.

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?
Free resource

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**



  1. Build complex apps with LLM Ops frameworks including LangChain and LlamaIndex.
  2. Understand LLM product development methods, from prompting to retrieval and beyond.
  3. 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.

A pattern of wavy dots
Join an upcoming cohort

The AI Engineering Bootcamp

AIE3

$2,500 USD

Dates

May 28—July 27, 2024

Application Deadline

May 28, 2024
|

Bulk purchases

$2,500 USD

4.9

(12)

·

9 Weeks

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