Agentic AI Engineering Bootcamp
Don't just use AI apps. Learn how to build them in weeks (not months).
Shaw Talebi·Teaching 100,000+ AI builders on YouTube & Medium 
Join the top 1% who actually build AI apps
There are more AI resources than ever. But more options mean more confusion, more chaos, and more time "learning AI" instead of actually building it.
But here's thing thing.
You don't need to learn everything to ship your first AI app. You just need a clear path, practical examples, and an idea to build.
Over 8 modules, you'll turn core AI concepts (e.g. prompt engineering, RAG, agents, evals) into working applications. By the end, you won't just "understand AI." You'll have a real, deployed app and the confidence to build the next one faster.
This bootcamp is for technical builders who know they're capable of more but feel stuck figuring out what to learn, what tools to use, and how it all fits together.
What you'll learn
Understand the 3 types of AI and when to use them. We'll dive into prompt engineering, RAG, AI agents, MCP, evals, and more.
Leverage 10 reusable example projects to bring your ideas to life (plus a 30 AI project ideas guide to help you brainstorm).
Bite-sized projects at every module to help you build little and often. Each one reinforces a core concept through hands-on practice.
Apply everything you've learned to build and deploy a complete AI application. Receive direct instructor feedback on your submission.
Your instructor
Shaw Talebi
Ex-Toyota Data Scientist with 8+ years in AI. Teaching over 100k learners.
Shaw holds a PhD in Physics and teaches over 100,000 developers through his YouTube channel and blog. He created the top-rated AI Builders Bootcamp on Maven (4.7★, 75 reviews) and builds real AI apps like y2b and Ghst.
Trusted by builders from...
Who it's for
This course is for you if:
- ✓ Developers and software engineers who want to learn how to build AI systems
- ✓ Technical consultants building AI-powered solutions for their stakeholders
- ✓ Technical PMs who want to build AI-native products
This is NOT for you if:
- ✕ Complete beginners who have never coded
- ✕ People who only want to use AI tools like ChatGPT or Claude, not build with them
- ✕ Anyone looking for a quiz-based certification rather than hands-on skills
- ✕ People looking for machine learning theory and fundamentals
- ✕ People trying to learn LLMOps
Prerequisites
Some Coding Experience
You only need to have coded something before (any language). Examples are in Python, but AI tools can help with the code. The real requirement is being comfortable reading and modifying code.
A Desire to Build
You can only learn so much watching lectures. Most of the learning happens when you apply your learnings to real-world projects.
What's included
- Lifetime access to all course material
- Learn at your own pace
- Capstone + certificate of completion
- Direct feedback from instructor on capstone project
- 30 AI Project Ideas guide + AI project assistant
- Reusable, hands-on projects at every module
- Early-bird bonus: free capstone review + 1:1 call with Shaw
14-Day Guarantee: Try this course risk-free for 14 days. If it's not the right fit, get a full refund — no questions asked.
Syllabus
8 modules · 54 lessons · 5h 35m total
Ship a complete, portfolio-ready AI application and receive instructor feedback.
What students say
"This course is a true learn-by-building experience. You gain insight into modern AI concepts and apply them to build real-world solutions."
Sangeeta Bahri
AI Founder
"Shaw's exceptional teaching cuts through ML hype with a practical, first-principles approach that delivers genuine clarity."
Bryce Klein
Data Analyst
"Shaw blends highly technical and practical teaching perfectly. The course was very well structured with impressive breadth across AI topics."
Kristyl Gomes
VP of Engineering
"The topics covered are relevant and the examples covered in class are practical but not too daunting."
Claudia Ng
ML Engineer
"The program helped me understand the build of AI products end-to-end. Very well structured."
Siva Vavilala
Program Manager
"Easy to follow explanations, an invaluable course for anyone looking to get a handle on building applications with AI."
Prabhakar Somu
CEO
"Learning by building — I got to build many things directly relevant to my projects."
Vladimir Dubal
Business Consultant
"Before joining, I felt overwhelmed by scattered AI tutorials. Now I feel confident leading AI initiatives at work."
Babak Fakh
Data Scientist
"Outstanding course — very well structured and consistently project-oriented."
Paolo
Lawyer
"Shaw has a unique way of explaining complex AI concepts clearly. Fantastic course."
Thierry Pienaar
CTO
"The course structure helped me break out of AI overwhelm and actually start building — from RAG pipelines to Python automations."
Amy
Data Analyst
"The bootcamp was practical and easy to follow, with examples directly applicable to real work."
Thomas Helms
Founder
"Great course — Shaw is a fabulous teacher."
Manoj Mohan
Platform Engineering
"Dives straight into practical AI concepts like embeddings, vector search, and RAG — just enough theory to start building immediately."
Andry Haryanto
VP Finance
Frequently asked questions
Most courses bury you in hours of content. This one teaches the minimum concepts needed to start building, then gets out of your way. Every module ends with you shipping something real.
Certification is project-based, not quiz-based. Complete the capstone project, get it reviewed by the instructor, and receive a certificate that proves you can actually build AI applications.
No. The program is designed for developers who are new to AI engineering but already comfortable coding.
You only need to have coded something before — in any language. Since modern AI tools can generate much of the code, the real requirement is being comfortable reading, reviewing, and slightly modifying code.
Examples are primarily in Python, but the architectures and patterns apply across languages.
Most builders complete it in ~3 weeks at 2–4 hours per week. You can move faster or slower since it's self-paced.
You'll design and ship an end-to-end AI application using architectures like RAG, agents, or tool-using systems — applied to a real problem relevant to you.
Yes. Capstones receive instructor review, and early-bird students also get a 1:1 call with Shaw.
Building. The focus is on designing and implementing real AI systems — not just prompting or tool usage.
Yes. All material, templates, and future updates remain available after enrollment.
No. We use cloud APIs for all AI/ML tasks, so a regular laptop works fine.
There's a 14-day refund period. If it doesn't meet your expectations, you can request a full refund.
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