The AI Engineering Bootcamp

New
Β·

7 - 8 Weeks

Β·

Cohort-based Course

Accelerate your Large Language Model (LLM) application development. Learn to build production LLM apps at the open-source edge AI.

Build with industry-leading LLM tooling

Hugging Face
LangChain
LlamaIndex
OpenAI
Amazon Web Services

Course overview

Prototype LLM applications and deploy, monitor, and improve them in production!

In just 7-weeks, this adventure will take you on a journey with the AI Makerspace community from prototyping to production to Demo Day!


You will learn to prototype LLM applications first through prompt engineering, then layering in Retrieval Augmented Generation (RAG) and fine-tuning of both LLMs and embedding models. You will get many iterations of hands-on practice of deploying LLM web applications to a public URL with a slick user interface!


You will learn how to move from prototyping into production by applying RAG evaluation and improvement techniques, outfitting your applications with monitoring and visibility tooling, leveraging efficient inference and serving techniques, and deploying scalable endpoints.

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

πŸ§‘β€πŸ’» Prompt Engineering: Leverage in-context learning as an engineer for prototyping, RAG applications, agents, and more!
πŸ™‹ RAG: Build Retrieval Augmented Generation applications and ground LLM outputs in your own reference data


βš–οΈ Fine-Tuning: Efficiently train LLMs to perform specific tasks using techniques like LoRA and quantization


πŸ•΄οΈ Agents: Build complex LLM applications capable of reasoning, action, and working with external tools


πŸ“ˆ Evaluation: How to instrument LLM applications for quantitative metrics-driven development


πŸ”Ž Visibility: Debug, test, and monitor applications built using any leading LLM framework
πŸš€ Serving: Ensure efficient and scalable inference using the right tools and techniques

This course includes

Interactive live sessions

Lifetime access to course materials

47 in-depth lessons

Direct access to instructor

17 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

Apr 2β€”May 17
May 21β€”July 10
Expand all modules
  • Bonus

    Modules

    • Alignment Techniques for Helpful and Harmless LLM Applications

Hear from our alumni and partners!

Β Β Β Β Β Β Β Β 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 & Consultant @ Code Sprinkles
Β Β Β Β Β Β Β Β Everything I know about AI Engineering I learned from AI Makerspace.
Harpreet Sahota

Harpreet Sahota

Deep Learning DevRel Manager, LinkedIn Learning Instructor, Host of The Artists of Data Science
Β Β Β Β Β Β Β Β Check out our 4.9/5-star rating (23 responses) for our 4-week LLM Ops Bootcamp that we expanded into The AI Engineering Bootcamp for 2024!
LLM Ops: LLMs in Production

LLM Ops: LLMs in Production

maven.com/aimakerspace/llmops
Β Β Β Β Β Β Β Β Your team [does] a really good job - even better than us at explaining how RAGAS (RAG ASessment) metrics work!
Jithin James

Jithin James

RAGAS Co-Founder and Maintainer
Β Β Β Β Β Β Β Β "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
Β Β Β Β Β Β Β Β 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

LLM Ops Demo Day Student Presentation, by Bhabani Nayak

See the playlist of all demos from LLM Ops Cohorts 1-3 @ bit.ly/llmo-student-rag-demos
Free resource

πŸ“… 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.


πŸ‘¨β€πŸ« Learn with us free on YouTube!

πŸ‘¨β€πŸ’Ό Connect with me on LinkedIn!

Chris "The LLM Wizard πŸͺ„" Alexiuk

Chris "The LLM Wizard πŸͺ„" Alexiuk

Co-Founder & CTO @ AI Makerspace

In 2023, we created the LLM Engineering: The Foundations and LLM Ops: LLMs in Production courses on Maven!


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!


πŸ‘¨β€πŸ« YouTube: AI Makerspace Official, My Personal

πŸ‘¨β€πŸ’Ό Connect with me on LinkedIn!

A pattern of wavy dots
Join an upcoming cohort

The AI Engineering Bootcamp

AIE2

$2,500 USD

Dates

Apr 2β€”May 17, 2024

Application Deadline

Apr 2, 2024

AIE3

$2,500 USD

Dates

May 21β€”July 10, 2024

Application Deadline

May 21, 2024

|

Bulk purchases

Course schedule

4-6 hours per week
  • Tuesdays & Thursdays

    4::00 - 6:00 PM PT

    • Week 1: Apr 2nd, 4th
    • Week 2: Apr 9th, 11th
    • Week 3: Apr 16th, 18th
    • Week 4: Apr 23th, 25th
    • Week 5: Apr 30th, May 2nd
    • Week 6: May 7th, May 9th
    • Week 7: May 14th, May 16th


    * All sessions will be recorded for your viewing pleasure!

  • Weekly Programming Projects

    2-4 hours per week

    Each class period, we will get hands-on with Python coding homework!


  • Demo Day!

    Thursday, May 16th 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 πŸͺ„: Fridays @ 3 PM PT

  • Peer Support Sessions

    Varies, covers each day of the week!

    Peers supporters are available for homework help, concept deep dives, and just hanging out with!


    Each peer supporter has 1-hour session that you can attend weekly!


    In AIE1, we have 12 peer supporters!!

  • Community Projects and Prototypes

    Mondays at 6:00 PM PT

    All AI Makerspace community members interested in building, shipping, and sharing projects relevant to the industry at the open-source edge get together to talk about what they're building for themselves and their clients!

  • Community Build Sessions

    Wednesdays at 6:00 PM PT

    Weekly community-led AI Makerspace build sessions are available for all community members!

Build πŸ—οΈ, ship 🚒, and share πŸš€ like a legend.

Build πŸ—οΈ, ship 🚒, and share πŸš€ 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?

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

AIE2

$2,500 USD

Dates

Apr 2β€”May 17, 2024

Application Deadline

Apr 2, 2024

AIE3

$2,500 USD

Dates

May 21β€”July 10, 2024

Application Deadline

May 21, 2024

|

Bulk purchases

$2,500 USD

New
Β·

7 - 8 Weeks