Ship your first AI app without spending months "learning everything" first
There are more resources than ever to start building AI apps.
But that's not necessarily a good thing... 😅
More options mean more confusion, more research, and more time "learning AI" instead of actually building it.
This program is for technical builders who know they’re capable of more, but feel stuck trying to figure out what to learn, what tools to use, and how it all fits together.
Here's the truth:
You don't need to learn everything to ship your first AI app.
→ You just need a clear vision of what you're trying to build.
Inside, you’ll stop chasing every new tool and start focusing on the few that truly matter for your use case. Each week, we’ll turn core AI concepts (like context engineering, RAG, and agents) into functional prototypes, so you deepen your understanding through building, not theory.
By the end, you won’t just “understand AI.”
You’ll have a real, working app (and the confidence to build the next one faster).
What you’ll learn
From confusion to confidence—get a clear, structured roadmap for building real AI apps with expert guidance and community support.
Leverage 12+ reusable example projects to bring your ideas to life
30 AI project ideas guide to help you brainstorm
Understand the 3 types of AI and when to use them
We'll dive into prompt engineering, RAG, AI agents, MCP, fine-tuning, and more
Weekly bite-sized projects to help you build little and often
Custom GPT that helps you break down complex projects into clear implementation steps
Direct feedback on all project submissions from the instructor
Learn a 5-step AI project management framework for solving problems
Explore how alumni are applying AI skills to their businesses and startups
Discover what tools and tech alumni are using to build production AI apps
Who this course is for
Founders 🚀
Learn the AI skills you need to turn ideas into working products that can scale.
Tech Freelancers + Consultants 🧑💻
Add LLM-powered tools to your toolkit and confidently deliver AI solutions to clients.
Technical PMs ⚡️
Gain the tech skills you need to turn your product ideas into working prototypes that you can validate quickly.
Prerequisites
Coding Basics
Since LLMs can write most of your code for you, the only requirement is that you are comfortable with the concept of writing/reviewing code.
What's included
Live sessions
Learn directly from Shaw Talebi 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.
Reusable Example Projects
Repurpose 12+ example project notebooks for your custom use cases.
Self-paced Option
Learn core concepts on your schedule via a (bonus) 8-module self-paced course.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
9 live sessions • 8 lessons • 5 projects
Week 1
Jan
16
Session 1: Welcome, Coding with AI (effectively)
Project 1: Build a Python Automation
Week 2
Jan
20
[Optional] Setting Up Your AI Dev Environment
Jan
23
Session 2: Prompt Engineering, Structured Outputs
Project 2: Build an LLM Automation
Free lesson
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30 AI Buzzwords Explained: What you (actually) need to know
Turn buzzwords into real conversations
Go from overwhelmed to confident, so you can lead meaningful discussions and make smarter decisions about AI solutions.
Cut through the noise
Gain a clear, practical understanding of essential AI concepts without getting lost in technical jargon.
Communicate with confidence
Learn how to explain AI ideas in plain English when speaking to customers and developers.
Schedule
Live sessions
2 hrs / week
Fri, Jan 16
4:00 PM—6:00 PM (UTC)
Tue, Jan 20
11:00 PM—12:00 AM (UTC)
Fri, Jan 23
4:00 PM—6:00 PM (UTC)
Projects
2 hrs / week
Frequently asked questions
See what past students have built...
Check out 135 AI projects built by ABB alumni.
Each project includes:
A short description of the problem it solves
Libraries and tools used
A GitHub repo link (if available)
$995
USD