
Lukas Kaminskis
Course creator
Co-founder & CEO of Turing College, backed by Y Combinator
Learn to spot where AI can make a real difference: test more campaign ideas, remove operational bottlenecks and turn expertise into new services. Develop the skills to lead AI agents in 3 months, with personal mentor feedback. No coding experience needed.
Waiting on other people
You set the goal and approve
5 to 10 times more output is an ambition for repeatable tasks, not a measured course result. Your gains depend on the workflow and how you use AI.

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Learn to set up agents that run workflows, test ideas and flag decisions for you.
You brief specialists, wait for their availability and coordinate the handoffs.
Build and run the workflow yourself with AI agents. You set the goal and approve.
No AI. A weekly export stitched together in a spreadsheet. Depends on: Analyst
Advanced AI skills. Agents monitor spend, leads and revenue, flag shifts and suggest your next move.
No AI. A brief, a review round and a queue for new variants. Depends on: Creative team
Advanced AI skills. Agents create variants and check them against your brand rules. You approve the shortlist.
No AI. Mockup, ticket, build, QA, then wait for a release window. Depends on: CRO + developer
Advanced AI skills. Set up agents to run A/B tests and analyse results. You choose what to roll out.
Take the quiz to see which Building with AI skills you already have, where your gaps are, and how the programme gets you to Black belt.
Building with AI
Example: AI Marketer
Yellow belt
Learn, build, get feedback. Repeat with a more ambitious project.
Follow a clear path from a simple web tool to an AI assistant and a final project based on your own idea.
Review your work with experienced professionals. Understand what AI produced and how to improve it.
Learn Claude Code and supporting tools through projects, exactly when you need them. No technical background needed.
Learn to give AI coding agents clear goals, useful context and repeatable instructions. Use specifications, agent memory and custom skills to guide their work.
Create complete tools using Next.js, Supabase and Vercel. Add databases, user accounts and connections to external services.
Coordinate AI agents, connect them to tools through MCP and use automated browser tests to check whether the finished product behaves as expected.
Add custom domains, logins, payments, testing and automated deployment so you can take what you build beyond an initial prototype.
After 20 years in construction, Rimvydas Samulionis is building Ceiling Advisor through Building with AI: an assistant that helps architects and customers find answers in technical product documents, with sources they can check.
My role is to understand what needs to be built, make good decisions and make sure all the parts work together.

Each of the four sprints ends with a project you can open, test and share online. With Bildungsgutschein funding, the programme takes three months, with 30 hours of study a week.
Set up Claude Code, learn to brief an AI agent so it builds what you mean, and save your work with Git and GitHub. You’ll put a small web tool online, then build your first Next.js app. Sprint project: your first Next.js app, live at a link you can share.
Tools you’ll learn: Claude Code, Git, GitHub, Next.js.
Teach Claude Code your repeat tasks with slash commands, skills and plugins. Then add a Supabase database and user logins, and learn to fix errors with the agent’s help. Mid-sprint you’ll build a notes app with collections and search. Sprint project: a working app with its own database and user logins.
Tools you’ll learn: Claude Code, Supabase, Next.js.
Split bigger jobs between subagents, put your app online with Vercel and learn the security basics every app needs. Connect AI to other services with MCP, test your app automatically with Playwright, then build an AI tool that answers questions from your own documents. Sprint project: an AI app of your own, live online.
Tools you’ll learn: Claude Code, Vercel, MCP, Playwright, OpenRouter.
Automate recurring work with Claude Code, learn the compliance rules for AI tools and build a mobile app with an AI feature. Then plan your design before you build, add content management and payments, and launch your own online shop. Sprint project: your own online shop.
Tools you’ll learn: Claude Code, Expo, Stripe.
Plan, build, test and deploy an AI-powered application of your own design, ideally the tool your team has been waiting for. Present it in a live demo and leave with a product you can keep developing after the course.
Tools you’ll learn: Claude Code, Supabase, OpenRouter, Stripe, Vercel.
You don’t need to know these tools before you start. You’ll learn what each one does and when to use it through guided projects. You define what you need, guide Claude Code to build it and check that it works. Step by step, you’ll learn to build a tool, connect it to data and share it with a link.

Your Bildungsgutschein-funded Building with AI Agents programme includes a Premium seat on Claude's Team plan, giving you access to Claude and Claude Code, Anthropic's AI coding agent.
You get ~6 times the per-session usage allowance of Claude Pro.
The programme is built and kept current by people who direct AI coding agents every day, develop AI products and lead software teams. They review it as the tools change, so what you learn is how it is actually done now.
You’ll start the programme with a problem you want to solve, like a weekly report you keep rebuilding or data you copy between spreadsheets. By the end, you’ll have a tool that does the work for you.
AI agents handle the building, while you decide what to build and make sure it works.
Compare the programmes to find one that fits your experience and the work you want to do.
Build your job search around your experience and new AI skills. With Bildungsgutschein-funded Building with AI Agents, you get a career module to identify suitable roles, prepare your applications and practise for interviews, plus regular live career sessions.
Job-search planning: identify target roles and analyse what employers are asking for.
CV and LinkedIn preparation: present your experience and skills clearly.
Mock HR and technical interviews: practise before real recruitment conversations.
Weekly career Q&A: bring your questions to live drop-in sessions.
Monthly career webinars: explore a different career topic each month.
Tell us what you’d like to do with AI. We’ll help you check whether the programme fits your goals, plan your study time and explore funding options.
Explore the funding route with our admissions team.
Get the course information for your case worker.
Funding requires individual approval by the Agentur für Arbeit.
Fully funded
For eligible German residents
€0
With a Bildungsgutschein
Lowest total price by paying upfront
€2,000
Inaugural scholarshipRegular price €3,500
Split self-payment into monthly instalments
€625× 4 months
Inaugural scholarshipRegular price €990 × 4 months
Starting dates
November 9th
Limited seats
Ask for the decision in writing and check the reason given. If appropriate, you may be able to challenge the decision within the relevant deadline. Read how one Turing College learner challenged a rejection and went on to build KlarAmt, a tool designed to help other people navigate the Bildungsgutschein process: Bildungsgutschein rejected? How to appeal and win.
Bildungsgutschein-funded Building with AI Agents includes a career module covering job-search planning, CV and LinkedIn preparation, and mock HR and technical interviews. You can also attend weekly career Q&A sessions and monthly career webinars.
The support helps you identify suitable roles and present your existing experience alongside your new AI skills. It does not guarantee employment.