The AI Engineering Bootcamp
Build and evaluate production RAG, agent, and multi-agent applications with an industry-leading AI Engineer certification in just 10 weeks, from prototype to production.
Course Curriculum
Stay at the bleeding-edge of LLMs, RAG, MCP, A2A and dozens of other concepts, code, and best practices with the most comprehensive curriculum, anywhere!
Industry-leading tooling, LLMs, frameworks & infrastructure
Week 1
Intro, Vibe Check & RAG
Session 1
- Meet your cohort, peer supporters, and journey groups!
- LLM prototyping best practices, from scoping to prompting to vibe checking
- How to succeed as a certified AI Engineer on Demo Day!
Session 2
- Build a Python RAG app from scratch!
- Overview of Prompt Engineering best-practices and the LLM App Stack
- Understand embedding models and similarity search
- Understand RAG = Dense Vector Retrieval + In-Context Learning
Week 2
Production rag apps
Session 3
- 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
- Why LangChain, OpenAI, QDrant, LangSmith?
- Understand LangGraph & LangChain core constructs
- How to use LangSmith as an eval & monitoring tool for RAG apps!
- Build a RAG system with LangChain and Qdrant!
Week 3
Agents & Multi-Agent Systems
Session 5
- 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
- Production-Grade agents with LangGraph
- Understand what multi-agent systems are and how they operate
- Build a production-grade multi-agent applications using LangGraph
Week 4
RAG & Agent Eval with SGD
Session 7
- 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
- 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
Week 5
Advanced RAG & Agentic Reasoning
Session 9
- 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 retrieval pipelines
Session 10
- 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
Week 6
Cert Challenge & Open AI SDK
Session 11
- Introduce the Certification Challenge!
- Pitch your problem, audience, and solution
- Network with people outside of your group!
Session 12
- Understand the suite of tools for building agents with OpenAI
- Core constructs of the Agents SDK and comparison to other agent frameworks
- How to use monitoring and observability tools on the OpenAI platform
Week 7
Contextual Retrieval & Code Agents
Session 13
- Understand the suite of tools for building agents with OpenAI and the evolution of their tooling
- Core constructs of the Agents SDK and comparison to other agent frameworks
- How to use monitoring and observability tools on the OpenAI platform
Session 14
- Defining code agents, coding agents, and computer use agents
- Understand the suite of tools for building code agents with Hugging Face’s Smol Agents library
- Understand the landscape of coding and computer use agents
Week 8
Prod. Endpoints & LLM Ops
Session 15
- Important production-ready capabilities of LangChain under the hood
- Deploy open LLMs and embeddings to scalable endpoints
- How to choose inference server
- Build an enterprise RAG application with LCEL
Session 16
- Defining LLM Operations (LLM Ops)
- Monitor, visualize, debug, and interact with LLM apps
- Deploy your apps to APIs directly via LangGraph Platform
- Build an enterprise RAG application with LCEL
Week 9
On-Prem Agents
Session 17
- Introduction to Building On-Prem
- Hardware & compute Considerations
- Local LLM & Embedding Model Hosting Comparison
- Build and present an On-Prem Solution to stakeholders
Session 18
- How to use Prompt caching
- Build/iterate on version-controlled Prompt and Tool Libraries
- Model Context Protocol (MCP) and Agent2Agent (A2A) Protocols
- MCP servers: inside vs. outside the enterprise
Week 10
Demo Day Week!
Session 19
- Code freeze
- Full Dress Rehearsal
Session 20
- Present live to the public
- Recorded for your resume and LinkedIn
- Invite your co-workers, family, and friends!
- Graduation!
New Curriculum Additions to Cohort 7
- Model Context Protocol (MCP) & Agent2Agent Protocol (A2A)
- Vercel for quick end-to-end POC deployments
- Together.ai for quick deployment of Llama-3.3-70B-Instruct-Turbo and open embedding endpoints
- A focus on vibe-coded custom front ends with React (or other) framework
- OpenAI Agents SDK (released March 2025)
- Code agents with Hugging Face's Smol Agents Framework (released ~Jan 2025)
- CLI Coding Agents with Codex (released April 2025)
- Computer Use Agents with OpenAI's Responses API (released March 2025)
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.
Michelle Boyer
IT Development Manager
Road Ranger
You guys provide so many resources; I didn't have time to utilize them all. Pre-learning with what you provide for FREE is fantastic and really required.
Learn with a Community
People just like you have transformed their lives by embracing the AI Makerspace ethos, of build , ship 🚢, and share 🚀.
Join Our Discord Channel
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.
Tsvetan Konov
Consultant
The community aspect of build ship share is great. [The AIE Bootcamp] really worth it just for that. Learning how to build is important in this day of age and it really helps doing it in a group setting.
Savrin Darash
Data Scientist
CVS Health
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.
Certification Matters
If you're ready to accelerate your LLM application development in under three months, we guarantee our certification program will keep you on track and help you stand out above the competition.
Show hiring managers, your company, and the world that you're competent and capable of building, shipping, and sharing production-grade apps.
Take The Challenge
Do you have what it takes to join the next cohort? Take The Challenge now.
$3,499
Cohort 7
June 24 - Aug 28, 2025
Cohort 8
Sept 9 - Nov 13, 2025
North American Time Zone
Live Sessions are Tuesday/Thursday 7-9 PM Eastern Time (ET), led by Dr. Greg & The Wiz
International Time Zone
Live Sessions are Tuesday/Thursday 7-9 PM Central European Time (CET), led by International Instructors
$3,499
Cohort 7
June 24 - Aug 28, 2025
Cohort 8
Sept 9 - Nov 13, 2025
North American Time Zone
Live Sessions are Tuesday/Thursday 7-9 PM Eastern Time (ET), led by Dr. Greg & The Wiz
International Time Zone
Live Sessions are Tuesday/Thursday 7-9 PM Central European Time (CET), led by International Instructors
Why choose The AI Engineer Bootcamp
We combine cutting-edge curriculum, expert instructors, dedicated peer supporters, and a supportive community to deliver an unmatched learning experience.
Build, Build, Build!
17+ builds per cohort!
Live Demo Day
Present to a live audience!
Dedicated Peer Support
8:1 Student-to-Peer Ratio
Accountability
Get expert feedback on all your work!
Certification
Become a Certified AI Engineer
Expert Instructors
Real AI Engineering Practitioners
Global Community
Work with people around the world
Enterprise Edge
Build On-Prem and in the cloud
Students Taught
Certified Graduates
Free Videos
Discord Members
$3,499
Cohort 7
June 24 - Aug 28, 2025
Cohort 8
Sept 9 - Nov 13, 2025
North American Time Zone
Live Sessions are Tuesday/Thursday 7-9 PM Eastern Time (ET), led by Dr. Greg & The Wiz
International Time Zone
Live Sessions are Tuesday/Thursday 7-9 PM Central European Time (CET), led by International Instructors
Built for Scale
If you're looking for training materials to simply "check a box", or a video series your team will never complete, we can't help you.
But if you're looking for a roadmap on how to transform yourself, your team, or your company, then you're in the right place
Individuals
$3.5k
- 20 live sessions
- Peer Support groups
- Build 15+ apps
- Demo Day!
- Certified graduates
- Global Discord community
Teams
volume discount
- 20 live sessions
- Dedicated Peer Supporter
- Build 15+ apps
- Private Demo Day*
- Certified graduates
- Post-cohort consulting packages*
Enterprise
starting at $50k
- Teams of 20 or more
- Focused on enterprise-edge
- Condensed to 4 weeks
- Built around your tech stack
- Take real apps from POC to prod.
- Ongoing support programs
* Additional fees apply
$3,499
Cohort 7
June 24 - Aug 28, 2025
Cohort 8
Sept 9 - Nov 13, 2025
North American Time Zone
Live Sessions are Tuesday/Thursday 7-9 PM Eastern Time (ET), led by Dr. Greg & The Wiz
International Time Zone
Live Sessions are Tuesday/Thursday 7-9 PM Central European Time (CET), led by International Instructors
Real Testimonials
At the end of every session in Cohort 5 we asked our students one simple question:
"Is there anything else you'd like to share with us?"
We took the raw results from 160 pieces of feedback and asked the ChatGPT o1 model to summarize the results.
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!
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!”
$3,499
Cohort 7
June 24 - Aug 28, 2025
Cohort 8
Sept 9 - Nov 13, 2025
North American Time Zone
Live Sessions are Tuesday/Thursday 7-9 PM Eastern Time (ET), led by Dr. Greg & The Wiz
International Time Zone
Live Sessions are Tuesday/Thursday 7-9 PM Central European Time (CET), led by International Instructors
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!
Katerina Gawthorpe
AI Consultant & Instructor
I’m proud to be an instructor for the 2025 European AI Makerspace cohort, helping students gain hands-on experience in LLM engineering and real-world AI deployment.
During the day, I work as an AI Consultant, where I design, build, and ship applications — often combining cutting-edge LLMs with real-time analytics and production-grade forecasting models.
Previously, I worked as a Data Analyst, Forecasting Expert, Modelling Analyst, University Professor, and Researcher—with experience spanning both Europe and the United States.
My passion lies in making AI practical, fast, and impactful. Whether it’s solving complex data challenges or teaching others to build smarter systems, I’m here to share, scale, and ship the future of AI—one model at a time.
Vincent Kienzler
AI Consultant & Instructor
I trained as an Engineer, Philosopher and Economist, and have built teams and products across Europe, the US and Africa.
For the past decade, I have held several leadership roles in technology. I currently serve as the Head of Technology at a Climate-focused Investment Fund based in Switzerland, where I focus on web app development, cybersecurity, data, and AI.
Additionally, I have been an AI educator with the AI Markerspace for over a year, where I have designed and facilitated weekly deep-dives for the past 5 cohorts.
I love learning as much as teaching, and I look forward to supporting you throughout your AI journey!
$3,499
Cohort 7
June 24 - Aug 28, 2025
Cohort 8
Sept 9 - Nov 13, 2025
North American Time Zone
Live Sessions are Tuesday/Thursday 7-9 PM Eastern Time (ET), led by Dr. Greg & The Wiz
International Time Zone
Live Sessions are Tuesday/Thursday 7-9 PM Central European Time (CET), led by International Instructors
Free Prep Course
Understand how LLMs actually work in just 5 days, at your own pace, without drowning in theory and academic papers.
Ready to master the fundamentals of LLMs?
Do you want to really understand how LLMs work "under the hood" from concepts to code
Everyone drives cars, but how many people really know how the engine works?
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
Common Questions
Answers to our most asked questions.
Are the classes taught live?
Yes! Your instructors, Dr. Greg and The Wiz, run each and every class LIVE. Nothing pre-recorded!
Are all live sessions 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.
I work full-time, what is the expected time commitment?
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!
What additional costs should I budget for?
You will need to set up billing for the following tools:
- ChatGPT Plus (to create your own GPT on the GPT Store)
- OpenAI API access (for building with OpenAI GPT models)
- GPU access through Google Colab Pro (for Fine-Tuning)
- Hugging Face Spaces (for hosting deployed apps)
Recommended budget ~= $100 total
I am a not a hands-on coder, but I lead one or more teams building production LLM applications.
If you do not want to do engineering-level coding, you should not take this course. You may benefit from watching the conceptual and discussion portions of our YouTube videos as outlined in our free 2025 AI Engineering Roadmap.
However, if you enjoy digging into the coding demos, you might be a good fit for the course. Either way, the Bootcamp may be the perfect solution for your team to sharpen their skills while building practical apps for your organization. Check out the Teams Page for more information.
Do you offer any discounts for buying multiple seats?
YES! Please visit our Teams Page for more information.
What is the policy for deferrals?
Please read more about our deferral policy here.
$3,499
Cohort 7
June 24 - Aug 28, 2025
Cohort 8
Sept 9 - Nov 13, 2025
North American Time Zone
Live Sessions are Tuesday/Thursday 7-9 PM Eastern Time (ET), led by Dr. Greg & The Wiz
International Time Zone
Live Sessions are Tuesday/Thursday 7-9 PM Central European Time (CET), led by International Instructors