The AI Engineering Bootcamp

4.9

(11 ratings)

Β·

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 of GenAI.

Build with industry-leading LLM tooling

OpenAI
Hugging Face
LangChain
LlamaIndex
Amazon Web Services

This course is popular

4 people enrolled last week.

Course overview

Prototype LLM apps and get them into Production. Learn to leverage LLM Ops.

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 according to best practices, starting with prompt engineering and then leveraging the patterns of Retrieval Augmented Generation (RAG), fine-tuning (of LLMs and embedding models), and agentic Reasoning-Action behavior. You will get many 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 move your prototypes into production. You will deploy open-source models to scalable endpoints, use the latest evaluation and advanced retrieval techniques on your RAG applications, and build with industry-leading frameworks LangChain and LlamaIndex.


You will also outfit all your applications with monitoring and visibility tooling, first with Weights and Biases and then with LangSmith, the all-in-one unified DevOps platform leading the way in LLM Ops.


**Note: This is a course that is constantly adapting 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, 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

πŸͺ„ Become an LLM Wizard

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

🀩 Present Live on Demo Day!

You will present a unique project live to a cohort of your peers and the public!

πŸ§‘β€πŸ’» Prompt Engineering

Leverage in-context learning as an engineer for prototyping, RAG applications, agents, and more!

πŸ™‹ Retrieval Augmented Generation (RAG)

Build Retrieval Augmented Generation applications and ground LLM outputs in your own reference data!

βš–οΈ Parameter-Efficient Fine-Tuning

Efficiently train LLMs to perform specific tasks using techniques like LoRA and quantization!

πŸ•΄οΈ Agents & Reasoning

Build complex LLM applications capable of reasoning, action, and working with external tools!

πŸ“ˆ Evaluation & RAG Asessment

Instrument LLM applications for quantitative metrics-driven development!

πŸ”Ž Visibility & Monitoring

Debug, test, and monitor applications built using any leading LLM framework!

πŸš€ Serving & Scaling

Ensure efficient and scalable inference using the right tools and techniques!

This course includes

Interactive live sessions

Lifetime access to course materials

57 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

    4.9

    (11 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!

    Β Β Β Β Β Β Β Β 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
    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 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 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
    Β Β Β Β Β Β Β Β 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
    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

    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

    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 Wiz πŸͺ„" Alexiuk

    Chris "The Wiz 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!


    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!


    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

    AIE3

    $2,500 USD

    Dates

    May 28β€”July 19, 2024

    Application Deadline

    May 28, 2024
    |

    Bulk purchases

    Course schedule

    4-6 hours per week
    • Tuesdays & Thursdays

      4::00 - 6:00 PM PT

      • Week 1: May 28th, 30th
      • Week 2: June 4th, 6th
      • Week 3: June 11th, 13th
      • Week 4: June 18th, 20th
      • Week 5: June 25th, 27th
      • Week 6: Tuesday, July 2nd and Wednesday, July 3rd
      • Week 7: Tuesday, July 9th
      • Week 8: Thursday, July 18th


      * All sessions will be reco

    • Weekly Programming Projects

      2-4 hours per week

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


    • 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 πŸͺ„: 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 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?
    Free resource

    Learn LLM Ops for Free, Async!

    Access all of the concepts and code directlyΒ on YouTubeΒ 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 28β€”July 19, 2024

    Application Deadline

    May 28, 2024
    |

    Bulk purchases

    $2,500 USD

    4.9

    (11)

    Β·

    8 Weeks