Product Shipping with AI: From Idea to Real Users

Alexey Grigorev

Founder of DataTalks.Club

Finish and launch your product

Build a tool you need at work, a service for your community, or a side project you want to finish.

We'll start with one useful task, build a small version with AI coding tools, and put it online. I'll help you decide what to leave out, what to fix before you share it, and where to find people who might try it.

I've spent six years running my own business and launching communities, courses, and products. In this course, I'll share what I learned in these six years as you work on your own product.

I'll review every submitted midterm and final project in group office hours. At each milestone, you'll also test three other participants' products and receive feedback on yours. You'll use the reviews to choose what to change next.

You'll practice building, sharing, and improving a product that other people can use. Customers and revenue aren't guaranteed.

What you’ll learn

Build and deploy your product with AI, get personal and peer feedback, and put it in front of people who might use it.

Choose who you're building for and one task your product will help them complete.
Write down what the first version needs to do, how you'll check it, and where you'll find testers.

Give the AI small tasks and the context it needs. Check the code it writes and test the main task.
Put your product online with basic tests and instructions for running it.

Help people understand what the product does, get started, and complete the main task.
Give reviewers free access, short test instructions, and questions you want their help answering.

Compare what testers did with what they said. Separate problems they found from requests for new features.
Choose what to fix first, test the changes, and explain what you changed.

Track whether people complete the main task and where they stop. Compare those results with their feedback.
Check errors, hosting costs, and service limits before you share the product more widely.

Find people who might need your product, explain what it does, and invite them to try it.
Record how people respond, what you learn from the launch, and what you'll try next.

Learn directly from Alexey

Alexey Grigorev

Contact

DataTalks.Club founder · AI Shipping Labs co-founder · Zoomcamp creator

See all products from Alexey

Who this course is for

You can write code, but your own project is still an idea, a local prototype, or an unfinished demo.
You work with data or AI and want to turn a notebook or useful idea into an application people can use.
You keep postponing your product and want a schedule, project reviews, and feedback from other builders.

What's included

Live sessions

Learn directly from Alexey Grigorev in a real-time, interactive format.

Personal project reviews

I'll review every submitted midterm and final project in group office hours. We'll discuss what works, where people get stuck, and what to change next.

Peer testing and feedback

At the midterm and final milestones, you'll test three other participants' products and receive feedback on yours. You'll see how people use your product and learn from trying theirs.

Templates and review worksheets

Use product briefs, testing checklists, feedback templates, and a launch report template as you develop the same product throughout the course.

Maven Guarantee

Your purchase is backed by the Maven Guarantee.

Course syllabus

10 live sessions • 47 lessons

Week 1

Nov 16—Nov 22

Module 1: Choose a problem and a small first version

5 items

Nov

Module 1: Choose a problem and a small first version

Tue 11/175:00 PM—6:00 PM (UTC)

Week 2

Nov 23—Nov 29

Module 2: Build and deploy the first version

6 items

Nov

Module 2: Build and deploy the first version

Tue 11/245:00 PM—6:00 PM (UTC)

Schedule

Live sessions

1 hr / week

Ten one-hour sessions on Tuesdays at 18:00 Europe/Berlin, from November 17 to February 2. No sessions from December 21 to January 3. The cohort runs November 16, 2026 to February 7, 2027.

Tue, Nov 17
5:00 PM—6:00 PM (UTC)
Tue, Nov 24
5:00 PM—6:00 PM (UTC)
Tue, Dec 1
5:00 PM—6:00 PM (UTC)

Projects

4 hrs / week

Plan around four hours per teaching week to build your product, test peer projects, and prepare submissions. There's no required project work during the holiday break.

Notes and recordings

1 hr / week

Allow around one hour per teaching week to review notes, templates, and recordings and prepare for the next session. There's no required study during the holiday break.