Lukas Kaminskis
Course creator
Co-founder & CEO of Turing College, backed by Y Combinator
Building with AI Agents online course
Build in-demand AI skills to automate complex work, launch your own tools and increase your earning potential. Learn to lead AI agents at your own pace, with personal mentor feedback. No coding experience needed.
- Self-paced
- Non-technical professionals
- 3.5 to 4.5 months · 12h/week
- Online, in German or English
Group start: November 9th
Aim for 5 to 10 times more output with AI.
Today
Waiting on other people
- You
- 1st handoff
- 2nd handoff
- Live
With AI agents
You set the goal and approve
- You + AI agents
- 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
- Best Data Science Bootcamp, Course Report 2022
- Best Data Science Bootcamp, Course Report 2023
- Best Data Science Bootcamp, Course Report 2024
- Best European Bootcamp, Course Report 2025
- Best AI/ML Bootcamp, Course Report 2025
- Best Digital Marketing Bootcamp, Course Report 2025
- Best Data Science Bootcamp, Course Report 2025
- Best Online Bootcamp, Course Report 2025
- Best Coding Bootcamp, Course Report 2026
- Best AI/ML Bootcamp, Course Report 2026
- Best Online Bootcamp, Course Report 2026
Featured in
Highly rated
4.9/5
Graduates hiring rate
88%
of graduates get hired 6+ months after graduation*
*Germany, as of July 2026. Includes learners whose programme ended at least six months earlier and whose employment status could be confirmed. Unconfirmed outcomes were excluded.Become an AI power user
Learn to set up agents that run workflows, test ideas and flag decisions for you.
No AI
- You
- Analyst
- Creative
- Media buyer
- CRO
- Live
You brief specialists, wait for their availability and coordinate the handoffs.
Advanced AI skills
- You + AI agents
- 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.
AdmissionsLearningProjectProject reviewSprints
Work through learning materials at your own pace.
On-demand learning materials that fit your weekly plan
Around 12 hours a week over 3.5 to 4.5 months
Build and test a working application.
Hands-on projects with Claude Code and other AI tools
Get 1:1 feedback and use it in your next sprint.
Personal feedback in scheduled one-to-one project reviews
Project reviews and open sessions give you personal feedback and support.
On completion: your certificate and project portfolio
Use your projects to show employers or clients what you can build.
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.
What you'll build, sprint by sprint
Four sprints, each ending with a project that’s live online. Self-paced: most learners finish in 3.5 to 4.5 months at around 12 hours a week.
1Your first web tool, live online
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.
2A tool your team can log into
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.
3An AI tool that knows your data
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.
4A mobile app, payments and automations
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.
5Your own idea, built and launched
Capstone
5
Your own idea, built and launched
CapstonePlan, 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.
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.
Meet the Senior Team Leads who review your projects
Senior Team Leads are industry professionals who review your projects one to one. They question your decisions, identify gaps in your understanding and help you work out what to improve and why.
Gedmantas brings over five years of experience working with data across logistics, oil and manufacturing. At Continental, he builds forecasting models and automates operational tasks. With a background in applied mathematics, he draws on his industry work to help Turing College learners approach data problems and put mathematical concepts into practice.
Jochen brings decades of experience in software engineering, architecture and leading development teams. At Agentic Works, he designs self-hosted AI agent systems. At Turing College, he helps learners understand what it takes to move from an AI demo to an agent workflow that works reliably, drawing on his experience building and maintaining software for business use.
Oleg brings over 20 years of software development experience, including roles at Apple and Salesforce.org. His work spans web applications, machine learning deployment and AI agents. As an AI Engineering Senior Team Lead at Turing College, he supports learners with a perspective shaped by building, testing and maintaining software, as well as mentoring engineers on experimental machine learning projects.
With several years of experience in software engineering and data, Vytautas develops internal tools, data pipelines, and APIs that power Nord Security’s marketing and growth teams. He brings this hands-on expertise to Turing College, where learners receive detailed project feedback and guidance rooted in real industry practice.
Professionals like you, building for their own jobs
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.
Marathon Berlin Stats: Unofficial Race Insights
An unofficial statistics site for the Berlin Mini-Marathon school race, where families find their child in seconds among more than 10,000 runners.
Created by Tomasz Kornicki · Building with AI
Oddities & Household Supplies
A dark-fantasy online shop designed to feel like browsing an inventory in an old fantasy game.
Created by Florian Eisler · Building with AI
Re:store
A concept donation shop that links six climate tipping points to real organisations working to slow the climate crisis.
Created by Nanda Dias · Building with AI
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
- 3.5 to 4.5 months
- Pace
- ~12 hours/week
- 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
How admissions works
Two simple steps, designed to help you and our team understand whether the programme is the right next step for you, and what you would build first.
- 1
Application
Tell us about your goals and the tool you want to build. Our admissions team reviews your application personally. - 2
Consultation
Meet us for 20 to 30 minutes to discuss your project, schedule and funding. Bring your benchmark result as a starting point.
Basic admission requirements:
No coding background
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+
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
Time commitment
Plan for around 12 hours per week. The programme is self-paced, and most learners finish in 3.5 to 4.5 months.
A computer and stable internet
A computer and stable internet
Any modern laptop works. Nothing to install that we don't walk you through, and no special hardware.
Flexible payment and funding options
Upfront payment
Lowest total price by paying upfront
€2,000
Inaugural scholarshipRegular price €3,500
- Self-paced, flexible schedule
- 3.5 to 4.5 months, flexible duration
- 12 h per week
- 14-day money-back guarantee
Apply now
Group start: November 9th
Instalments
Split self-payment into monthly instalments
€625× 4 months
Inaugural scholarshipRegular price €990 × 4 months
- Self-paced, flexible schedule
- 3.5 to 4.5 months, flexible duration
- 12 h per week
- 14-day money-back guarantee
Apply now
Group start: November 9th
Choose your next group and apply!
Starting dates
- Apply now
November 9th
Limited seats
FAQ
How can Building with AI Agents support my career?
How can Building with AI Agents support my career?
Building with AI Agents teaches you to turn a business problem into a working tool using AI coding agents. You practise defining requirements, directing the agent, testing the result and explaining your decisions.
You can use completed projects to demonstrate these skills to employers or clients. Explain the problem you addressed, what you built, how you checked it and what still needs improvement. The programme does not guarantee a job or promotion.
What is Building with AI Agents?
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.
What is agentic coding, and what does an AI coding agent do?
What is agentic coding, and what does an AI coding agent do?
Agentic coding is a way of building software by giving an AI agent a goal and allowing it to complete a sequence of development tasks. Depending on the access you provide, an AI coding agent can inspect project files, write and edit code, run commands, test an application and respond to errors. You remain responsible for the goal, context, permissions and final review.
What will I learn beyond prompting an AI coding agent?
What will I learn beyond prompting an AI coding agent?
Building with AI Agents teaches you how to take a business problem through planning, building, testing and deployment. You learn to define what the tool needs to do, give the agent useful context, review its changes, troubleshoot errors and manage data and access.
You apply this process in projects and receive one-to-one feedback from experienced professionals. The aim is to create tools you can explain, check and improve, with completed work you can demonstrate to colleagues, employers or clients.
Do I need coding experience, and is this a no-code course?
Do I need coding experience, and is this a no-code course?
No prior coding experience is required. The course is built around Claude Code, the main AI coding agent you'll use throughout. If you already use or prefer a different agent, such as Codex, you can complete most of the course with it too.
You'll work with real, working code and real developer tools, not a closed drag-and-drop platform. The AI handles most of the actual coding, while you direct the work and check the results.
The course introduces technical concepts only when you need them. You should be comfortable learning new tools, checking results, and troubleshooting when something doesn't work as expected.
What will I build during the course?
What will I build during the course?
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. For example, Rimvydas, a project manager with 20 years in construction and no coding background, built a tool that checks his company's product documentation for him.
How is Building with AI Agents different from vibe coding?
How is Building with AI Agents different from vibe coding?
Vibe coding usually means prompting an AI tool until a prototype appears to work. Building with AI Agents teaches a structured process for defining requirements, managing context, reviewing changes, testing behaviour, protecting data and deploying software. You still direct the agent, but you also learn how to check and improve what it produces.
Can I build a production application without being a developer?
Can I build a production application without being a developer?
AI coding agents can complete many implementation tasks, but a working prototype is only part of a production application. You also need to define requirements, manage access, test behaviour, protect data, check security and maintain the product. The course teaches these parts of the process and gives you feedback while you practise them.
How many hours a week does the course require, and can I study while working full-time?
How many hours a week does the course require, and can I study while working full-time?
That depends on how you're funding it. If you're paying for the course yourself, it's 12 hours a week, over 3.5 to 4.5 months, designed to fit around full-time work. If you're studying through the Germany-funded Bildungsgutschein route, it's 30 hours a week of study time, over 3 months, treated as full-time and not compatible with a full-time job.
You might also see "40 academic hours" mentioned for the Germany-funded route. That's the same 30 hours, just measured in 45-minute academic-hour units rather than 60-minute clock hours, which is how German funding paperwork counts study time. Same commitment, different unit.
Can a Bildungsgutschein cover this course?
Can a Bildungsgutschein cover this course?
Eligible German residents can study the approved three-month programme with a Bildungsgutschein, which covers the tuition cost. The Agentur für Arbeit decides eligibility after an individual consultation, so German residence alone does not guarantee funding.
What certificate will I receive?
What certificate will I receive?
You will receive one Turing College certificate for Building with AI Agents after completing the required core programme. The global certificate records 200 hours. The Germany-funded certificate records 520 academic hours (Unterrichtseinheiten). The certificate lists the programme parts you have completed when it is issued. The global capstone is not required for the core certificate.
What happens if I get stuck?
What happens if I get stuck?
You can attend weekly stand-ups, join Open Sessions shared with AI Engineering learners, and get one-to-one project reviews with experienced professionals to troubleshoot problems and receive feedback on decisions.
Is Building with AI Agents right for you?
Is Building with AI Agents right for you?
We would rather you choose the right programme than enrol in the wrong one.
| This programme is for you if | Another option may fit better if |
|---|---|
| You want to use your experience in marketing, sales, finance, operations, consulting or another field to create a tool that solves a problem you understand. | Your main goal is to apply AI to research, analysis, content and recurring workflows. AI for Business focuses on these tasks, with no-code automation and introductory AI-assisted coding. |
| You want to take a business need through planning, building, testing and launching a dashboard, internal tool, website or application. | You already have at least one year of Python or JavaScript experience and want to build and evaluate LLM applications, RAG systems and AI agents in code. Compare AI Engineering. |
| You want completed projects you can use to explain your skills and decisions to employers or clients. | Your main goal is to train machine-learning models or study statistics and model theory. Compare Data Science and AI. |
| You want a repeatable process for directing AI coding agents and checking their work. | You expect AI to produce finished, reliable software without your review, testing or decisions. |
| You are willing to learn unfamiliar digital tools and work through errors. No previous coding experience is required. | You want a video-only programme without project work, deadlines or feedback. |
What is the difference between Building with AI Agents, AI Engineering and AI for Business?
What is the difference between Building with AI Agents, AI Engineering and AI for Business?
Choose by the work you want to do and your starting experience. Building with AI Agents helps you turn a business need into a working application. AI Engineering develops your existing coding skills for building AI systems. AI for Business helps you apply AI to everyday tasks and workflows.
| Choose this programme | If your main goal is |
|---|---|
| Building with AI Agents | Apply your knowledge of a business or industry to create tools, dashboards or applications you can use at work or demonstrate to employers and clients. You direct AI coding agents, test their work and launch the result. No previous coding experience is required. |
| AI Engineering | Build on your coding experience to develop and evaluate LLM applications, RAG systems and AI agents, with projects you can show employers when pursuing AI engineering roles. At least one year of Python or JavaScript experience is required. |
| AI for Business | Use AI in your current or next business role for research, analysis, communication and recurring workflows. Learn no-code automation and introductory AI-assisted coding. No previous coding experience is required. |
Is the programme taught in German or English?
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.
Next group starts on November 9th