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Building with AI Agents: AI training with a Bildungsgutschein

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.

  • Non-technical professionals
  • 3 months · 30h/week
  • Online, in German or English
  • €0 with approved funding
Group start: November 9th

Aim for 5 to 10 times more output with AI.

Today

Waiting on other people

  1. You
  2. 1st handoff
  3. 2nd handoff
  4. Live

With AI agents

You set the goal and approve

  1. You + AI agents
  2. Live

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.

Repeatedly recognised 4 years in a row

Featured in

Forbes
Fortune
The Guardian
The Times

Highly rated

4.9/5

Course Report

Graduates hiring rate

88%

of graduates get hired 6+ months after graduation*

Become an AI power user

Learn to set up agents that run workflows, test ideas and flag decisions for you.

No AI

  1. You
  2. Analyst
  3. Creative
  4. Media buyer
  5. CRO
  6. Live

You brief specialists, wait for their availability and coordinate the handoffs.

Advanced AI skills

  1. You + AI agents
  2. Live

Build and run the workflow yourself with AI agents. You set the goal and approve.

Example tasks
  • Campaign dashboard

    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.

  • Ad creative variants

    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.

  • Landing page test

    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.

How strong are your AI skills?

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

  • Black15 skills
  • Purple10-14 skills
  • Green7-9 skills
  • Yellow3-6 skills
  • White0-2 skills

Yellow belt

What can you expect?

Learn, build, get feedback. Repeat with a more ambitious project.

Projects that go live

Follow a clear path from a simple web tool to an AI assistant and a final project based on your own idea.

One-to-one expert feedback

Review your work with experienced professionals. Understand what AI produced and how to improve it.

Tools introduced step by step

Learn Claude Code and supporting tools through projects, exactly when you need them. No technical background needed.

What you’ll be able to do

  • Turn a business problem into a working tool

    Learn to give AI coding agents clear goals, useful context and repeatable instructions. Use specifications, agent memory and custom skills to guide their work.

  • Build and launch dashboards, internal tools and websites

    Create complete tools using Next.js, Supabase and Vercel. Add databases, user accounts and connections to external services.

  • Guide AI agents towards more reliable results

    Coordinate AI agents, connect them to tools through MCP and use automated browser tests to check whether the finished product behaves as expected.

  • Take a prototype to a live product

    Add custom domains, logins, payments, testing and automated deployment so you can take what you build beyond an initial prototype.

From construction expertise to an AI product.

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.

Read Rimvydas's full story
Rimvydas SamulionisProject Manager at MONTEM, Building with AI learner

Build something you can use and share

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.

1

Your first web tool, live online

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.

Briefing an AI agent clearlySaving your work with Git and GitHubA web app live online

Tools you’ll learn: Claude Code, Git, GitHub, Next.js.

2

A tool your team can log into

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.

Reusable Claude Code skills and pluginsA live Supabase databaseUser loginsFixing errors with Claude Code

Tools you’ll learn: Claude Code, Supabase, Next.js.

3

An AI tool that knows your data

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.

Your app online with VercelSecurity basicsAutomated tests with PlaywrightAI that answers from your own data

Tools you’ll learn: Claude Code, Vercel, MCP, Playwright, OpenRouter.

4

A mobile app, payments and automations

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.

Automations with Claude CodeCompliance basicsA mobile app with an AI featurePayments and content management

Tools you’ll learn: Claude Code, Expo, Stripe.

5

Your own idea, built and launched

Capstone

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.

Your own working productA live demoA portfolio piece for your CV

Tools you’ll learn: Claude Code, Supabase, OpenRouter, Stripe, Vercel.

The tools you’ll learn

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.

Claude CodeThe AI agent you guide
GitKeeps a history of every change
GitHubWhere your work is saved
Next.jsThe structure behind your web tools
SupabaseWhere your app's data lives
VercelPuts your work online to share
StripeTaking payments
OpenAI APIAdding AI to your tools
OpenRouterConnects your tool to AI models
LangChainAI that reads your documents
MCPConnects AI to apps you already use
FigmaSketching how it looks
ExpoBuilding mobile apps
PlaywrightChecks your tool works before sharing
Google CloudLogins and services
Claude

Claude Team Premium included at no extra cost

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.

Meet the people who built the programme

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.

Lukas Kaminskis

Lukas Kaminskis

Course creator

Co-founder & CEO of Turing College, backed by Y Combinator

Jaunius Pinelis

Jaunius Pinelis

Course creator

Built enterprise GenAI platforms at Danske Bank

Giedrius Žebrauskas

Giedrius Žebrauskas

Course creator

Led multinational dev teams at Western Union

Fet Özyürek

Fet Özyürek

Course creator

Leads modern AI and data programmes at Turing College

Real people. Working tools.

I'm a project manager at a construction company, and when I heard Turing College was launching Building with AI Agents, it felt like the obvious next step. I have many years of professional experience and I know that people who learn to build with AI will have the advantage over those who don't. I want to be the person my colleagues and my own family come to when they need to know how to do it properly. What I got was a structured way to plan, control, ship, and evaluate, enough to already build a tool that checks our product documentation for me instead of doing it by hand.
Rimvydas Samulionis
Project Manager at MONTEM
I lead a digital product team at an energy company, where security and risk management are critical. What I wanted from Building with AI was not just to create a working prototype, but to understand the security behind the code AI generates. Without a computer science background, I could build something that worked, but I could not confidently assess what was happening underneath. Now I have a completed first project, a much stronger understanding of secure AI-assisted development, and the confidence to identify where these tools can be used responsibly within the business.
Paul Bakker
Digital Products & Innovation at FincoEnergies
The content is clear, relevant, and links theory to real workplace scenarios. I've been able to apply what I'm learning straight away to work more efficiently, plan tasks better, and communicate more clearly with stakeholders.
Senior Work Experience Coordinator
The tutor meetings and workshops provide a great opportunity to discuss the learning. I've already used the prompt engineering and productivity tips to run my own training sessions for my colleagues, helping them use AI more effectively in their own work.
Trust Data Manager

What Building with AI Agents learners build

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.

Find the right Turing College AI course for you

Compare the programmes to find one that fits your experience and the work you want to do.

Building with AI Agents

Duration
3 months, full time
Pace
30 hours/week (40 academic hours)
Bildungsgutschein
100% funded
Who it's for
Professionals in consulting, marketing, product, sales, finance and operations who want to build their own tools to solve business problems
Experience required
None
What you'll build
A web tool, an app your team can log into, an AI tool that answers questions from your own documents, an online shop with payments, and a final project of your own design
  • Claude Code
  • Next.js
  • Supabase
  • Vercel
  • MCP

Career support for your next role

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.

Wise
NordVPN
Swedbank
Telia
Danske Bank
Hostinger
Vinted
Western Union
Tesla
Hitachi
NASDAQ
Thermofisher
Cognizant
Wise
NordVPN
Swedbank
Telia
Danske Bank
Hostinger
Vinted
Western Union
Tesla
Hitachi
NASDAQ
Thermofisher
Cognizant

How admissions works

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.

  1. 1

    Application

    Tell us about your goals and the tool you want to build. Our admissions team reviews your application personally.
  2. 2

    Consultation

    Meet us for 20 to 30 minutes to discuss your project, schedule and funding. Bring your benchmark result as a starting point.

Funding support (Bildungsgutschein)

  • 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.

What you need to start

No coding background

None needed. You direct an AI coding agent in plain language; the programme explains technical ideas only when a project needs them.

German or English at B2+

The programme is taught in German or English, including materials, mentor sessions and project reviews. You need B2-level or higher proficiency in your chosen teaching language.

Time commitment

Plan for 30 hours per week on the fixed 3-month Bildungsgutschein programme, or 12 hours per week with flexible self-paced study.

A computer and stable internet

Any modern laptop works. Nothing to install that we don't walk you through, and no special hardware.

Choose how to fund your next step

Fully funded

Education voucher (Bildungsgutschein)

For eligible German residents

€0

With a Bildungsgutschein

  • 3 months, fixed duration
  • 30 h per week
  • Claude Team Premium seat included

Upfront payment

Lowest total price by paying upfront

€2,000

Inaugural scholarship

Regular price €3,500

  • 3.5 to 4.5 months, flexible duration
  • 12 h per week
  • 14-day money-back guarantee

Instalments

Split self-payment into monthly instalments

€625× 4 months

Inaugural scholarship

Regular price €990 × 4 months

  • 3.5 to 4.5 months, flexible duration
  • 12 h per week
  • 14-day money-back guarantee

Your next project starts here.

Starting dates

FAQ

What is Building with AI Agents?

Building with AI Agents is an online Turing College programme for people who want to turn a business problem into a working tool, dashboard or application. You learn to plan the work, direct AI coding agents, test the result and deploy it. No previous coding experience is required. The funded programme is taught in German or English and runs for 3 months at 30 hours a week.

Do I need to know how to code?

No. You describe what you want, direct an AI coding agent and check its work. You will encounter code and learn the technical concepts needed to understand and test your projects.

What will I build?

You start with a problem from your own work and finish with a tool that solves it. Along the way, you build a web tool, an app your team can log into, an AI tool that answers questions from your own documents, and an online shop with payments. Your final project solves a problem you choose.

What support and tools are included?

One-to-one project reviews, weekly stand-ups and access to Open Sessions support your learning. Funded learners also attend workshops and get a Premium seat on Claude's Team plan for the course. Plan usage limits apply.

Does the Arbeitsamt pay for Building with AI Agents?

It can, if your advisor approves it. Building with AI Agents is AZAV-certified, so the Agentur für Arbeit (often called the Arbeitsamt) or the Jobcenter can cover your tuition with a Bildungsgutschein. Residence in Germany alone does not establish eligibility. Speak to your advisor before the course starts.

Can I get a Bildungsgutschein if I'm still employed?

Possibly. Funding may be considered if you are at risk of losing your job, your fixed-term contract is ending, your industry is changing or you are affected by reduced working hours. Your advisor will assess your situation and decide whether the training is necessary.

How do I apply for a Bildungsgutschein?

First, apply to Turing College. Admissions reviews your goals and, if there's a potential match, invites you to a 20 to 30-minute conversation about your project, available time and funding. We then provide the course information for your funding application. Book an appointment with your Agentur für Arbeit or Jobcenter, and take your CV, relevant job adverts and a clear explanation of the work you want to do next. Your advisor makes the final decision, and our admissions team will confirm the next available start date.

What does the Bildungsgutschein cover?

If your application is approved for this programme, the Bildungsgutschein can cover the programme tuition. Your voucher will state the approved training goal, duration and other conditions. Ask your advisor which additional costs, if any, are covered in your case.

What if my Bildungsgutschein application is rejected?

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.

How much time do I need?

The funded programme runs full time for three months, with 30 hours of study a week on a fixed weekday schedule. Some course documents say 40 academic hours a week: that is the same time, counted in academic hours (Unterrichtseinheiten) of 45 minutes each. If you need to study alongside work, self-paid study takes around 12 hours a week over 3.5 to 4.5 months.

Is the programme taught in German or English?

The programme is taught in German or English, including materials, mentor sessions and project reviews. You need B2-level or higher proficiency in your chosen teaching language. If you are unsure about your level, discuss it with admissions before committing. Your funding meeting with the Agentur für Arbeit or Jobcenter may take place in German.

What career support is included in the Bildungsgutschein-funded programme?

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.

What certificate will I receive?

After completing the required programme, you receive a Turing College certificate for Building with AI Agents. The Germany-funded certificate records 520 academic hours (Unterrichtseinheiten).

Should I choose Building with AI Agents or AI Engineering?

Choose Building with AI Agents if you work in areas such as marketing, sales, consulting, product, operations or finance, and want to build your own tools for problems in your work, without sending them to a developer. Choose AI Engineering if you already code in Python or JavaScript and want to build, evaluate and deploy LLM applications and AI agents yourself. Both programmes include practical projects and career support.

Will I learn to automate tasks with AI?

Yes. In the fourth sprint, you learn to automate recurring work with Claude Code. Across the programme, you build tools that handle repetitive tasks for you, such as a dashboard that brings your data together or an AI tool that answers questions from your own documents. That means you can do work yourself that used to need a developer, analyst or automation specialist.

What is agentic coding, and how is it different from vibe coding?

Agentic coding means giving an AI agent a goal and letting it do the building work, while you decide what to build and check that it works. Vibe coding usually means prompting an AI tool until something appears to work. Building with AI Agents teaches you a clear process: decide what the tool needs to do, give the agent the right context, review and test the result, and keep your data and your app secure. You get one-to-one feedback as you practise, so you can explain, check and improve what you build.
Your idea. Your next move.Your idea. Your next move.Your idea. Your next move.Your idea. Your next move.Your idea. Your next move.Your idea. Your next move.
Next group starts on November 9th