The AI Engineering Bootcamp

Build and evaluate production RAG apps, agents, and multi-agent systems. Fine-tune reasoning models and embeddings!

Always at the LLM Edge

The AI Engineer Bootcamp is always at the The LLM Edge of Generative AI with the latest concepts, code, tools, techniques, and best-practices such as Model Context Protocol (MCP), Vibe Coding with Cursor, and leveraging the latest reasoning and non-reasoning LLMs!

Our Course

The AI Engineer Bootcamp is truly a bootcamp. It's hard. It's a grind. But it will get you comfortable understanding what it's like to live at The Edge of what's possible.

This is what leading entrepreneurs and VCs do in Silicon Valley; it's what they've always done. We're here to teach you how to do it too in the age of AI.

**EXPANDED CAPACITY AND INTERNATIONAL TIME ZONES FOR COHORT 7**

Section 01: Live Sessions are Tuesday/Thursday 7-9 PM Eastern Time (ET), led by Dr. Greg & The Wiz

Section 02: Live Sessions are Tuesday/Thursday 7-9 PM Central European Time (CET), led by International Instructors

Let us know which section you're applying for in your application!

WHO HAS TAKEN THIS COURSE

Since its launch in January 2024, over 250 people have taken the course! Many participants were Software Engineers and Developers, reflecting a strong technical base. A significant portion were Data Scientists and Machine Learning/AI Specialists, indicating a focus on analytics, modeling, and artificial intelligence.

There were also numerous Executives and Leaders (CEOs, CTOs, Directors), Product/Project/Program Managers, Consultants, and even Professors or Students.

Here is a list of companies whose employees have already taken the course:

Google, Meta, Microsoft, Amazon, Samsung, Salesforce, IBM, Oracle, Bloomberg, Deloitte, Atlassian, SAP, Infosys, ServiceNow, Shopify, NetApp, Autodesk, Jio Platforms, JP Morgan Chase (JPMC), Walmart, Chevron, Expedia, NTT Data, Ernst & Young, Fannie Mae, National Grid, State Farm, USAA, BMO, TD Bank, Mercer, Kiewit, BP, CVS, Safran, Appian, and more!

The most important thing for anyone taking the course is to take it seriously. This advanced course requires commitment, debugging, resilience, and tenacity. These personal attributes matter much more than your current company or job title.

That said, software engineers and developers working in industry today have a leg up because many of the requirements (e.g., dev environment, interacting regularly with GitHub, writing code) will not seem new or foreign.

WHAT STUDENTS (REALLY) SAID ABOUT COHORT 5

We collect feedback every single class. Here is an analysis of the 160 pieces of feedback that we received on the question "Is there anything else you'd like to share with us?" that we asked at the end of each of the 20 live sessions, completed by ChatGPT with the o1 model in April, 2025.

Highly Positive Themes

Students repeatedly praise the instructors’ expertise and clarity.
Many love the breakout rooms, citing them as a key differentiator from other courses.
There is strong enthusiasm about practical coding sessions, community support, and peer supporters.
Several comments mention that they are already deploying real applications and seeing immediate value, which is a significant selling point for future students.

Neutral or Constructive Feedback

A few suggestions for improving logistics (e.g., link consistency, environment setup, more thorough instructions).
Requests for additional examples and smaller breakout groups.
A handful of people struggled with first-class onboarding or missed classes due to personal constraints.

Negative or Dissatisfied Feedback

Some frustration around external tool links (Discord, GitHub) not working seamlessly.
Occasional complaints about environment setup challenges.
A single extended critique about missing the first day and feeling lost initially, but that student did eventually get on track.

We are always working to improve our product, our student experience, and our processes! You can count on the fact that we've taken the feedback into account for Cohort 6 and beyond!

Here were the top 10 direct quotes:

“One of the best lessons I’ve ever had. The instructor’s level of expertise is high and his communication is extremely easy to understand. I have grasped all the concepts.”
“This session was pure gold, seeing actual applications, really nice!”
“I am having lots of fun and learning. LOVE THE ENERGY! Let’s go.”
“The breakout rooms are absolutely fantastic. Peer Supporters are bae.”
“The breakout rooms are just so good – easily sets it apart from 90% of other courses out there.”
“It was a great session today. Super helpful and getting clearer. Amazing job everyone. Love this!!!!”
“I have deployed and built a number of applications right from the first sessions of the course. Knowledge also helps me in self-study and research.”
“This class was worth every dollar, thank you guys!”
“Thank you for an amazing ride!”
“I complained last time about the breakout rooms not being long enough and the lectures being too long. This time I think the ratio was GLORIOUS PERFECTION!”

Transform Your Life

Our students don't just learn; they transform! Check out some of the amazing transformations in our Transformation of The Week video series, and read student testimonials from people just like you.

Industry-leading tooling, LLMs, frameworks & infrastructure

Full Curriculum

Demo Day

Every cohort culminates in a live Demo Day experience!

Many of our graduates have launched startups, landed amazing new jobs, or even sold their code directly based on their demo day presentations! Hear from Akash Shetty and Nitin Gupta, for instance.

Live Sessions

Specifically, you will get hands-on experience building and sharing complex LLM and agentic applications weekly, receiving constant feedback during live sessions and through your homework submissions via instructors, peer supporters, and your fellow cohort members.

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!
💼 Hiring Opportunities
Certified AI Engineers get direct access to job opportunities from our network
🧑‍🤝‍🧑 Peer-Supported Live Coding
Work with certified AI Engineers in dedicated small groups to discuss and code throughout the cohort!
🤝 1:1 Career Coaching
Student success will help you achieve your goals before and after certification!
🧑‍💻 Industry-Leading Curriculum
Built for maximizing enterprise value, at the LLM Edge

Cohort 7

June 24 - Aug 28, 2025

ANNOUNCEMENT! Due to high demand, we have added a European time zone class to this cohort, which will be lead by international instructors!

** Early bird code: AIE7April **

Apply Now

Need to purchase multiple seats?

Course Curriculum

Get the most comprehensive curriculum, from the highest rated bootcamp on Maven!

🏗️ Prototyping (Build)

Session 1: Introduction & Vibe Check

Understand course structure and how to navigate and succeed as a certified AI Engineer on Demo Day!
Meet your cohort, including peer supporters and journey groups!
LLM prototyping best practices, from scoping to prompting to vibe checking

Session 2: Introduction & Vibe Check

Overview of Prompt Engineering best-practices and the LLM App Stack
Understand embedding models and similarity search
Understand Retrieval Augmented Generation = Dense Vector Retrieval + In-Context Learning
Build a Python RAG app from scratch!

Session 3: Industry Use Cases & End-to-End RAG

Understand the state of production LLM application use cases in industry
Understand Demo Day expectations
Ideate with peers & peer supporters
Build an end-to-end RAG application using everything we’ve learned so far!

Session 4: Production-Grade RAG with LangChain

Why LangChain, OpenAI, QDrant, LangSmith?
Understand LangChain core constructs
Understand (enough) LangGraph and LangSmith
Build a RAG system with LangChain and Qdrant!
How to use LangSmith as an evaluation and monitoring tool for your RAG application!

Session 5: Production-Grade Agents with LangGraph

Answer the question: “What is an agent?”
Understand how to build production-grade agent applications using LangGraph
How to use LangSmith to evaluate more complex agentic RAG applications!

Session 6: Multi-Agent Applications

Understand what multi-agent systems are and how they operate
Build a production-grade multi-agent applications using LangGraph

Session 7: Synthetic Data Generation for Evaluation

An overview of assessment and Synthetic Data Generation for evaluation
How to use SDG to generate high-quality testing data for your RAG application
How to use LangSmith to baseline performance, make improvements, and then compare

Session 8: RAG and Agent Evaluation

Build RAG and Agent applications with LangGraph
Evaluate RAG and Agent applications quantitatively with the RAG ASsessment (RAGAS) framework
Use metrics-driven development to improve agentic applications, measurably, with RAGAS

Session 9: Fine-Tuning Open-Source Embedding Models

Understand how to fine-tune embeddings to enhance retrieval of domain-specific data
How to generate synthetic [Question, Context] data for fine-tuning a retrieval system
Build: RAG, SDG, eval, fine-tune, improve
Introduce Certification Challenge and discuss ideas with group!

Session 10: Fine-Tuning a Reasoning Model

How to think about fine-tuning and its core applications for builders today
Understand (at a high-level) PEFT, LoRA, quantization and QLoRA
Understand test-time compute and how we teach LLMs to reason
How to fine-tune an open-source LLM for reasoning using an efficient approach!

Session 11: Certification Challenge

Introduce the Certification Challenge!
Watch Dr. Greg & The Wiz do a full walkthrough example of a Certification Challenge
Pitch your problem, audience, and solution
Network with people outside of your group!

Session 12: Project Pitches & AIM Games

See 15 of your classmate’s project pitches on their problem, audience, and solution.
Give them some feedback!
Compete in the AIM games!

Session 13: Advanced Retrieval for RAG Apps

Understand how advanced retrieval and chunking techniques can enhance RAG
Compare the performance of retrieval algorithms for RAG
Understand the fine lines between chunking, retrieval, and ranking
Learn best-practices for retreival pipelines

Session 14: Advanced Agentic Reasoning

Discuss best-practice use of reasoning models
Understand planning and reflection agents
Build an Open-Source Deep Research agent application using LangGraph
Investigate evaluating complex agent applications with the latest tools

🚢 Production (Ship)

Session 15: Deploying Production Endpoints

Discuss the important production-ready capabilities of LangChain under the hood
Understand how to deploy open LLMs and embeddings to scalable endpoints
Discuss how to choose inference server
Build an enterprise RAG application with LCEL

Session 16: Deploying and Operating RAG Apps in Production

Defining LLM Operations (LLM Ops)
Learning how to monitor, visualize, debug, and interact with your LLM applications with LangSmith and LangGraph Studio
Deploy your applications to APIs directly via LangGraph Platform

Session 17: On-Prem Agents

Introduction to Building On-Prem
Hardware & compute Considerations
Local LLM & Embedding Model Hosting Comparison

Session 18: Inference and GPU Optimization

Introduction to Inference optimization
GPU Hardware: What you need to know
Quantization Technique Comparison

🚀 Demo Day (Share)

Session 19: Demo Day Dress Rehearsal

Code freeze
Full Dress Rehearsal

Session 20: Live Demo Day & Graduation!

Present live to the public
Invite your managers/execs/parents
Graduation!

See The Full Detailed Curriculum

The AI Engineering Bootcamp

Cost
$2,999

Upcoming
AIE 06

Dates
June 24 - August 28

Deadline
June 20

Take The Challenge Now

Instructors

Meet the crew who teach every class, live!

"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.

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!

People Are Talking

From non-programming data scientists to Fortune 500 CTO's, students are seeing real returns on their investments! From promotions to new jobs to launching companies, they are seeing results every day!

Jonathan Hodges

Head of AI & Machine Learning
Userpilot

AI Makerspace is the best game in town for AI Engineering Leaders looking to put some rigor behind their operations and organizational design decisions. AI's a team sport and to flourish and win requires getting everyone to row in the same direction. This knowledge facilitates building optimal teams and processes that can ensure predictable and successful AI roadmaps and associated growth for your companies.

Angela Chapman

AI Consultant
Blue Grotto Labs, LLC

This is a great course! Whether you are new to LLMs, or already using them but wanting to learn more of the latest open source tools, this course is well worth your time.

Erin Lyman

Founder
Code Sprinkles

I cannot say enough good things about AI Makerspace. I would absolutely recommend this course to a friend or co-worker. I am very excited to be part of the AIM community ongoing.

Colin Davis

Head Of Marketing

The AI Engineering bootcamp... has significant advantages for enterprise data teams. After having multiple team members complete the bootcamp, our approach to Generative AI projects has become more streamlined and effective, leading to faster prototyping. I strongly recommend this course to any data professional or team eager to upgrade their Gen AI skills and drive impactful innovation within their organization.

Cheselle Jan Roldan

I come from a non-technical background, so calling this course rigorous is an understatement. But after 10 weeks, I’ve gained a solid grasp of AI engineering skills and their underlying theories. I’ve also built at least 18 functional and useful AI apps (I lost count by Week 7). The founders structured the bootcamp so that anyone determined enough can keep up while actively gaining new skills.

Jithin James

Co-Founder and Maintainer
RAGAS - YC W24 Batch

Your team [does] a really good job - even better than us at explaining how RAGAS (RAG ASsessment) metrics work!

Alex

Data Scientist
Fonterra

Great course, awesome instructors, up-to-date and relevant material. You will get relevant skills to get you started in your AI Engineering career.

Julien de Lambilly

Lead AI Architect
Digit8 Group

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 Demo Day and said to myself, "WOW this is what I need!", so I joined the next cohort!

Charles Goddard

Senior Research Engineer
Creator of MergeKit

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.

Free Prep Course

Do you want to really understand how LLMs work "under the hood" from concepts to code?

Ready to master the fundamentals of LLMs?

Whether you're looking to nail AI Engineer interviews or lead an entire AI Engineering team, positioning yourself the LLM expert in your context is just five days away.

Day 1 - Transformers: Attention Is NOT All You Need, but what else?

Day 2 - Attention: Are LLMs magical, or do they just pay attention?

Day 3 - Embeddings: Layers, models, representations, or all of the above?

Day 4 - Training: Let's train a GPT from scratch! Loss is the key.

Day 5 - Inference: Understand how transformers predict the next-token

F.A.Q.

Answers to our most asked questions.

Yes! Your instructors, Dr. Greg and The Wiz, run each and every class LIVE. Nothing pre-recorded!

Yes! You can easily catch up asynchronously on the course if you need to miss a class or two, or if you're in a timezone that makes attending class live very difficult.

This course is designed for people with full-time jobs. If you're an aspiring AI Engineer, it is important for you to complete the weekly coding exercises (+2-4 hours/week outside of class and other sessions). If you're a AI Engineering Leader, you will be able to get a lot out of the class by simply attending the sessions!

The course focused on best-practice tools for the industry, so we will leverage Hugging Face Inference Endpoints to deploy scalable open-source models. We will use AWS and Amazon SageMaker during the course, although similar functionality also exists in MS Azure.

For team seat packages, please contact lusk@aimakerspace.io

You will need to set up billing for the following tools: