The AI Engineering Bootcamp

4.8 (127)

Dr. Greg Loughnane, Ph.D.

Founder & CEO @ AI Makerspace

Dr. Dragos Crintea, Ph.D.

Founder @ Hikari Labs, OSS @ Semantido

Understand the core concepts and code behind AI Engineering

🏆 The longest-running AI Engineering Bootcamp on Maven (since January, 2024)

📚 Every enrollment includes the textbook: The AI Engineering Bootcamp Book, published by Wiley (preprint PDF available immediately on signup!).

We promise to get you building 🏗️, shipping 🚢, and sharing 🚀 live in class, and to get you noticed on LinkedIn.

🧑‍💻 Guaranteed to get you building a personal GitHub portfolio of projects that you can talk about in detail!

This course is for you if:

You want to write code every day
You want to become an AI Engineer

This course is NOT for you if:

You prefer low-code courses (this is too advanced)
You want to be a Forward Deployed Engineer (this course is too basic)

In 6 weeks, you'll:

Learn the concepts you need to know about RAG, Agents, and Evals to be dangerous
Have the boilerplate clean code for implementation with leading frameworks that will scale to production
Be able to build end-to-end applications on your personal machine using your GitHub account
Develop the critical habit for success of building 🏗️, shipping 🚢, and sharing 🚀 weekly.

For more information:

Check the detailed curriculum and the curriculum changelog
Learn about our Certified Graduates

What you’ll learn

To build AI agents that create real value for people and companies. Without the fluff.

What are the similarities and differences between RAG, Agents, Agentic RAG, Deep Agents, and Multi-Agent Applications?
What is agent memory, short-term and long-term, and how does its implementation overlap with other key prototyping design patterns.
How do we evaluate agents, exactly, and do error analysis, from goals to tools to traces?

Prompt engineering, RAG, and agents are fundamental design patterns we need to leverage to manage context - how do we use them together?
How does context engineering look in agentic systems that include many conversation turns, multiple agents, or many user sessions?
How do we make trade-off decisions on what to put in the context window, whether enhancing or pruning context?

How can we learn to use any tools? By going deep on a single set of opinionated best-practice tools during learning.
How can we avoid vendor lock-in? Stay open-source-first during tool selection for maximum flexibility.
Do I need to learn cloud service providers like AWS? Not yet. You must learn to prototype, get users, and go "zero to one" first.

Builders can build, but when they start sharing, they unlock the next level. THIS is what our community tells us makes us different.
Through sharing what you learn, build, ship, and share each week, you become the de facto expert in your personal network.
Learn to build industry-relevant $10k-$25 Proofs of Concept (PoCs) in 10-40 hours (based on our Certified AI Engineer data).

How can you learn to code when the agent can do it better than you? Answer: Don't let it code anything you don't understand.
How can I become someone who gets a job or is recommended for hiring these days? Answer: Leverage coding agents EXACTLY the right amount.
What's the point of learning to use [X] when my company has [Y]? Answer: Feature parity happens rapidly - now is the time to get ahead.

Learn directly from Greg & Dragos

Dr. Greg Loughnane, Ph.D.

Contact

Author of The AI Engineering Bootcamp Book

Dr. Dragos Crintea, Ph.D.

Contact

Semantic Layers for Production

See all products from AI Makerspace

Who this course is for

Software engineers and developers who have realized (or been mandated) that it's time for them to learn AI.
Data Scientists & ML engineers who have already waited too long to learn this stuff.
Analysts, Consultants, and Product people that are serious about digging into the code because they've taken other courses already.

What's included

Live sessions

Learn directly from Dr. Greg Loughnane, Ph.D. & Dr. Dragos Crintea, Ph.D. in a real-time, interactive format.

Lifetime access

Go back to course content and recordings whenever you need to.

Community of peers

Stay accountable and share insights with like-minded professionals.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

Maven Guarantee

Your purchase is backed by the Maven Guarantee.

Course syllabus

Week 1

Nov 10—Nov 15

🧑‍💻 Life as an AI Engineer

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📇 Retrieval ~ RAG, LLM Wikis

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Week 2

Nov 16—Nov 22

🔄 The Agent Harness

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🤖 Agentic Search

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Schedule

Live sessions

4 hrs / week

We hold class every Monday and Wednesday from 2- 4 PM ET! Showing up live ensures that you'll get all your questions answered and get ~35-50 minutes of live breakout room time to do your homework!

Technical Challenges

1-10 hrs / week

Weekly Technical Challenges can be time-consuming, especially if you're not coming from a coding background.

Testimonials

I want to thank Dr. Greg, The Wiz, and the entire AIM team. None of my projects like PromptLab (https://promptlab.so) and OpenEvals (https://open-evals.com) would have been possible without the course and the Build, Ship, and Share mentality. Simply sharing what I’ve built on X helped the framework gain visibility from thought leaders in the Vercel AI SDK and Typescript developer communities, and opened doors for new opportunities. Taking this class has truly changed my life.
*Edit October 2026 - Can works at Vercel now
Can Temizyurek
20 year old Context Engineer - Dream is to work at Vercel - Creator of open-evals.com - vibecoders.com - promptlab.so
I joined AI Makerspace while looking to start my company, Publicus, and it’s also where I met my co-founder Joe. What amazed me was how inclusive the community is technical folks, researchers, and even non-developers and yet everyone still built, shipped, and shared real projects. The program completely reshaped how I use open-source tools and ship to production fast. I still rely on the teachings from Dr. Greg and Wiz today. RAGAS and EvolInstruct were game-changing takeaways that I now use to reduce hallucinations and build more reliable AI systems. It’s genuinely the best community for people who want to build real things in the real world
🔗 Hear Akash's Story
Akash Shetty
CTO @ Publicus
The AI Engineering Bootcamp gave me practical skills I use every day building Publicus. Every week, we implemented real AI packages and frameworks that I now use in production. Beyond the technical skills, the bootcamp helped me understand how to actually build agentic products—not just talk about them. Most importantly, I met my co-founder Akash there, and the network I built continues to be incredibly valuable. If you want to go from understanding AI concepts to shipping AI products, this is it.

🌐 https://publicus.ai/
Joe Noss
Co-Founder & CEO @ Publicus
The Aithon journey started out of AIE4 cohort in the AI Makerspace bootcamp. A year later, the project idea has morphed into an AI-native GTM platform for regulated financial services. We are helping large Fintechs grow and expand their presence in enterprise financial services accounts. We combine external public and proprietary signals with customer’s first party data to spot whitespace and drive expansion across financial services enterprise accounts.
🔗 Hear Nitin's Story
Nitin Gupta
Co-Founder & CEO @ Aithon
I want to thank Dr. Greg, The Wiz, and the entire AI Makerspace community for creating an environment where theory becomes real traction. The program gave me the clarity and technical rigor to architect Elysia—Informa’s enterprise GenAI platform now used by 20,000+ colleagues across the globe. The “build, ship, share” mindset pushed me beyond demos into production-grade retrieval pipelines, multi-agent orchestration, and scalable AI foundations that drive measurable impact. This community has been transformative for my work, and I’m grateful for the support and inspiration throughout the journey.
🔗 Hear how Arthi and Juan helped to transform Informa
Arthi Kasturirangan
Head of AI Engineering @ Informa
𝕏: https://x.com/DeepwriterAI | 🌐 https://deepwriter.com/
🔗 Hear Garret's Story
Garret G.
Founder @ DeepWriter