Lukas Kaminskis
Course creator
Co-founder & CEO of Turing College, backed by Y Combinator
88%*
of graduates get hired 6+ months after graduation
*Germany, as of July 2026. Includes learners whose program ended at least six months earlier and whose employment status could be confirmed. Unconfirmed outcomes were excluded.
“Everybody in the world is now a programmer. The technology divide has been completely closed.”
Jensen Huang
CEO of NVIDIA
ConsultingSalesMarketingFinanceUX/UIStartupsProduct managementOperations
No prior coding experience is required.
Builder
What can you expect?
A structured way to build
Start with a problem or idea, turn it into clear requirements and direct AI coding agents through planning, building, testing and launch. You will practise the same process across several projects, so you can use it again after the course.
Hands-on projects that go live
Build and deploy projects throughout the course. You will start with a simple web tool before progressing to database-backed products, an AI assistant, a mobile product, a subscription product and a final project based on your own idea.
Personal guidance when you need it
Review your work with experienced professionals in one-to-one sessions. They will help you identify problems, understand what the AI has produced and decide how to improve your next version.
Tools introduced step by step
You do not need to know these tools before you begin. Each one is introduced through a project, so you learn what it does, why you need it and when to use it. Claude Code is the main tool you'll use throughout the course. You'll also try an alternative AI coding agent in one lesson, so what you learn isn't locked to a single tool.
- Claude Code
- Cursor
- Lovable
- OpenRouter
- Git
- GitHub
- Vercel
- Next.js
- Supabase
- Firebase
- MCP
- Playwright
- Google Cloud Platform
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.
Tools you will use
Each tool is introduced through a project, so you learn what it does and when to use it.
Case study
See how far the same process can take you
After 20 years in construction project management, Rimvydas Samulionis joined Building with AI Agents with no coding background and built Ceiling Advisor, a tool that helps architects and customers find the technical information they need in product documents instead of digging through PDFs by hand. Our CEO Lukas, who had prior technical experience, used the same process to go further: he rebuilt Turing College's internal Notion alternative in around 30 hours, migrating 660 pages and replacing a $5,040-a-year subscription with a tool that costs $356 a year to run.
“I may not personally lay every brick on a construction site, and I do not necessarily need to write every line of code.”
Rimvydas Samulionis
Project Manager at MONTEM
Programme outline
Co-created with AI and software professionals, this course combines five sprints and 33 topics of hands-on practice, spread over 3.5 to 4.5 months at around 12 hours a week. The Bildungsgutschein-funded programme follows a fixed three-month schedule of 40 academic hours a week.
01Claude Code foundations and simple applications
01Claude Code foundations and simple applications
Learn a simple, repeatable way to work with AI coding tools, including how to give them the context they need to get useful results, and keep track of your work with Git and GitHub. By the end of this sprint, you'll have built and deployed your first live tool: a working document management system.
Claude CodeGitGitHubNext.jsContext engineering
02Agentic engineering, databases and hosting
02Agentic engineering, databases and hosting
Learn to build reusable workflows with Claude Code skills and plugins, then add a live database and secure logins so more than one person can use what you build. You'll debug problems with AI help and deploy an application that stores and protects real data.
Claude Code skillsSupabaseAuthenticationVercelDeployment
03Advanced agentic engineering and AI applications
03Advanced agentic engineering and AI applications
Coordinate multiple AI agents working together, connect them to outside tools, and test that they behave the way you expect. You'll build and deploy your own AI personal assistant, one that remembers context and can take real actions.
Agent teamsOpenRouterMCPPlaywrightAI applications
04Security, mobile apps and SaaS
04Security, mobile apps and SaaS
Build with security, compliance, and data access in mind from the start. You'll create a mobile app, connect it to outside services, and launch a subscription product complete with payments and an admin dashboard.
Security and complianceExpoExternal APIsStripeSubscription products
05Capstone project
05Capstone project
Plan, build, test, and launch a project of your own choosing, solving a real problem you care about.
AI coding agentsDatabases and authenticationAI APIs and MCPTesting and deploymentLive product demonstration
Get Claude Max (6x) for free
Claude Code is Anthropic's AI coding agent. Engineers at top companies use it daily to ship production software faster. With your Bildungsgutschein, Claude Max (5x) access is included at no extra cost, with around 25% more usage. You'll learn to use Claude Code the way working engineers do.
Meet the Building with AI Agents course creators
This course is built and updated by people who use AI coding agents, develop AI products and lead software teams. They review the curriculum as the tools change, so you learn current ways to plan, build, test and deploy software with AI.
No code, some code, or all code? Find your Turing College AI course
Compare AI for Business, Building with AI Agents, and AI Engineering by coding experience, time commitment, and what you'll build.
Building with AI Agents
AI for Business
AI Engineering
Coding experience needed
None
None
At least 1 year in Python or JavaScript
Best for
For consultants, salespeople, marketers, finance, product, UX/UI, and operations professionals, plus founders and early-stage teams, ready to build a working tool for a real problem at work, without training as a developer to do it.
Business professionals, from marketing to finance to operations, who want to use AI confidently without becoming too technical
Developers who want to specialise in building LLM applications and AI agents
Duration
3.5-4.5 months, or 3 months for Bildungsgutschein-funded learners
2-4 months, or 3 months for Bildungsgutschein-funded learners
3-4 months, or 3 months for Bildungsgutschein-funded learners
Weekly time commitment
12 hours a week, or 40 academic hours a week for Bildungsgutschein-funded learners
9 hours a week, or 40 academic hours a week for Bildungsgutschein-funded learners
10 hours a week, or 40 academic hours a week for Bildungsgutschein-funded learners
Examples of projects you will build
A live dashboard, internal tool, or web app that solves a real problem at work, plus a capstone project of your own choosing, deployed and ready to use
Clean and explore real datasets in spreadsheets or SQL, run A/B tests and calculate KPIs, and build no-code automations with tools like Zapier
LLM applications, RAG systems, and AI agents, capstone: a deployed end-to-end LLM application
Key tools
Claude Code, Next.js, Supabase, Vercel, MCP
ChatGPT, Gemini, Claude, n8n, Zapier, Python with AI
LangChain, LangGraph, RAG, ChromaDB, MCP
Build the tool yourself, without waiting for a development team
Turn your knowledge of a business problem into a working tool. You will learn a structured way to direct AI to write the code, build what you need, and take it live.
Use these skills to create internal tools, test a new idea, or build something for your own business. You will complete real projects throughout the course, with personal feedback from experienced professionals.
- Working dashboards, internal tools, and websites
- One-to-one project reviews
- A capstone project of your own choosing
A unique learning experience powered by technology
Online learning is tough when you're left on your own. That's why we built Intra, our learning platform that combines the best of both worlds: human support and smart structure. We've also built adaptive AI features that personalise your learning even further - so your journey adjusts closely to your pace, needs, and progress.
How admissions works
Our application process has two simple steps designed to help you and our team understand whether the program is the right next step for you.
- 1
Application
Tell us about your background and answer two short questions about your motivation and goals. Your application goes straight to our admissions team, who review it personally and get back to you within 24 hours on working days. - 2
Consultation
If the program matches your goals, we'll invite you to a 20-30 minute consultation. This is your chance to ask anything, understand exactly how the program works, check your financing options, and decide whether it's the right fit for you.
Funding support (Bildungsgutschein)
If you're applying with a Bildungsgutschein, we'll guide you through the funding process during your consultation call.
We'll help you understand your eligibility.
We'll help you prepare for your appointment with your case worker (Vermittler).
Basic admission requirements:
No coding experience
No coding experience
No prior coding experience is required. You'll direct AI coding agents such as Claude Code to plan, build, test and deploy your apps.
Time commitment
Time commitment
Plan for 40 academic hours per week on the fixed 3-month Bildungsgutschein track, or 12 hours per week on the flexible self-paced track.
English proficiency
English proficiency
All materials, mentor sessions, and project reviews are in English — and English is also how you'll direct your AI agents.
A computer and stable internet
A computer and stable internet
Any modern laptop works. The tools you'll use — Claude Code, GitHub, Supabase, Vercel — don't need special hardware.
Flexible payment and funding options
You’re resident of:
Education voucher (Bildungsgutschein)
Best for
German residents eligible for a Bildungsgutschein
Course duration
Fixed, 3 months
Time commitment
40 academic hours per week
Price
€0Fully funded
With a Bildungsgutschein
Claude Max (5x) + 25%Upfront payment
Best for
Learners who want the lowest total price by paying upfront
Course duration
Flexible, 3.5-4.5 months
Time commitment
12 h per week
Price
€2,000Inauguration scholarship
Regular price €3,500
14-day money-back guaranteeInstallments
Best for
Learners who prefer to split self-payment into monthly installments
Course duration
Flexible, 3.5-4.5 months
Time commitment
12 h per week
Price
€625x 4 monthsInauguration scholarship
Regular price €990 x 4 months
14-day money-back guaranteeUpfront payment
Best for
Learners who want the lowest total price by paying upfront
Course duration
Flexible, 3.5-4.5 months
Time commitment
12 h per week
Price
€2,000Inauguration scholarship
Regular price €3,500
14-day money-back guaranteeInstallments
Best for
Learners who prefer to split self-payment into monthly installments
Course duration
Flexible, 3.5-4.5 months
Time commitment
12 h per week
Price
€625x 4 monthsInauguration scholarship
Regular price €990 x 4 months
14-day money-back guaranteeWe have limited seats. Apply now!
Starting dates
September 21st
12 seats available
Real results from learners across our global programmes
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.
Mohammed Rahman
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.
Charlotte Power
Trust Data Manager
FAQ
What is Building with AI Agents?
What is Building with AI Agents?
Building with AI Agents is a beginner-level course for professionals who want to solve a real problem at work using AI. You direct AI to write the code in plain English, while you handle the planning, the context, and the final review. What you build can be as small as a dashboard that keeps itself up to date, or as ambitious as a full working product, like the internal tool our CEO built to replace a paid software subscription entirely by directing AI agents. Across five sprints, you'll build things like an internal tool, a dashboard, and an AI assistant, ending with a capstone project of your own choosing. No prior 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.
Why agentic coding is becoming a practical way to build
Why agentic coding is becoming a practical way to build
You decide what to build. The agent helps execute it.
AI coding agents can inspect a project, change files, run commands and tests, and work through a sequence of development tasks. The person directing the agent still makes the product decisions, supplies context and checks whether the result works as intended.
In June 2026, Anthropic published research based on roughly 400,000 Claude Code sessions ↗ recorded between October 2025 and April 2026. In a typical session, people made most of the planning decisions while Claude made most of the execution decisions. The research also found that people across major occupations completed coding tasks at close to the average success rate of software engineers, while relevant domain expertise improved the likelihood of success.
The 2025 DORA State of AI-assisted Software Development report ↗ reached a related conclusion for software teams: AI tends to amplify the strengths and weaknesses of the system around it. Better results depend on clear workflows, sound development practices and appropriate technical safeguards, not access to an AI tool alone.
This course teaches the workflow around the agent. You will learn how to plan, provide context, test, debug, review and deploy, so a quick prototype can become software you can explain and improve.
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'll build a working internal tool, an application with a live database and logins, an AI personal assistant, a mobile app, a subscription product with payments, and a capstone project of your own choosing. Past examples include Rimvydas, a project manager with 20 years in construction and no coding background, who built a tool that checks his company's product documentation for him instead of doing it by hand, and our CEO Lukas, who had prior technical experience and rebuilt an internal Notion alternative in around 30 hours.
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 hours. 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. Germany-funded learners also attend workshops.
Is the Turing College Building with AI Agents programme right for you?
Is the Turing College Building with AI Agents programme right for you?
We would rather you choose the right programme than enrol in the wrong one.
This programme is for you if:
- ✅ You want to learn how to turn ideas, products or manual processes into working software.
- ✅ You want to build full-stack web applications, mobile apps, AI assistants or SaaS products by directing AI coding agents.
- ✅ You do not have a coding background, but you are comfortable learning digital tools, checking results and solving problems when an application does not work as expected.
- ✅ You want a repeatable process for planning, building, testing and deploying software, rather than relying on trial-and-error prompting.
- ✅ You can commit around 12 focused hours per week for 3.5 to 4.5 months.
- ✅ You live in Germany and can study for 40 academic hours per week over 13 weeks through an approved funded route.
This programme is not for you if:
- ❌ You mainly want to use AI for analysis, content and workplace automation without building software. AI for Business is a better fit.
- ❌ You already have at least one year of Python or JavaScript experience and want to specialise in LangChain, RAG and multi-agent systems. AI Engineering goes deeper into building LLM applications in code.
- ❌ You want to train machine-learning models or study statistics and model theory. Data Science and AI is designed for that path.
- ❌ You want a passive, video-only course. This course requires you to build projects, meet deadlines and respond to feedback from Senior Team Leads.
- ❌ You need a university-accredited degree. This is a professional course that awards a Turing College certificate.
- ❌ You expect an AI agent to produce reliable software without human review. You will need to test its work, manage access and make the final decisions.
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?
The main difference is what you want to create and how much coding experience you already have. Building with AI Agents teaches you to direct coding agents to create software. AI Engineering teaches experienced programmers to build LLM applications in code. AI for Business focuses on using AI and automation.
| Choose this programme | If your main goal is |
|---|---|
| Building with AI Agents | Direct AI coding agents to build and deploy web, mobile and AI-powered applications without needing previous coding experience. |
| AI Engineering | Use existing Python or JavaScript skills to build LLM applications, RAG systems and multi-agent systems in code. |
| AI for Business | Use AI for workplace analysis, communication, decision-making and automation without becoming a software builder. |
Next group starts on September 21st