Want to build and lead AI solutions, not just use AI tools?
AI agents and automation are changing how companies work. They need people who understand both the business and the technology.
In this course, you learn to spot where AI adds value, build automations and AI agents, and bring them into everyday work safely. So you can lead AI projects, not just build them.
100% funded
A 3-month course, fully funded by the Agentur für Arbeit with a Bildungsgutschein.
Build real AI agents
Build automations and AI agents. No coding degree needed.
Lead AI projects
Make the business case and measure the impact.
What to expect
A hands-on, project-based course: in three months, you go from spotting AI opportunities to building a working prototype of an AI-enabled workflow.
You learn the way companies work with AI today, with Claude, automation platforms and agentic coding tools. No coding degree needed: Module 1 builds the technical basics step by step.
Duration: 3 months full-time, 3 modules
Format: 100% online, live mornings and project afternoons
Weekly rhythm: daily check-ins, project clinics, office hours and a joint workshop every Friday
Language: English
Tools: Claude, Zapier, Make or n8n, agentic coding tools, GitHub
Final result: A working prototype that demonstrates how an AI-enabled process could operate in practice, plus an implementation and operating plan for your portfolio
Next cohort:
January 25th 2027
What will you learn:
Understand and Apply
Can I spot a useful opportunity and build a working automation?
- Analyze business processes and spot where AI adds value
- Work with language models: prompting, structured outputs and evaluating quality
- Build your first no-code automations that connect apps and AI
- Develop the technical fluency for more advanced work
Design and Build
Can I design, build and evaluate an AI agent that solves a real business problem?
- Understand how AI agents work
- Design and build agents with AI-assisted coding tools
- Connect agents to APIs, data sources and knowledge bases
- Test, evaluate and improve agent workflows with clear boundaries
Deliver and Operate
Can I integrate, govern and plan the operation of an AI-enabled process?
- Combine agents and automations into end-to-end processes
- Quality assurance, governance, data protection and human oversight
- Plan rollout and adoption in organizations
- Measure business impact and present your recommendations
Hands-on projects
Every module ends with its own hands-on project, all set in the same fictional business. Each project stands on its own, so every module gives you hands-on work for your portfolio.
Automate a first process
Turn a manual, repetitive task into a working automation.
Build an AI agent
Create an AI agent that analyzes information and prepares results for human review.
Build a complete workflow
Your biggest project: design and build an end-to-end workflow with automations and AI agents, including approvals, quality checks and monitoring. The result is a working prototype that demonstrates how an AI-enabled process could operate in practice.
Meet your trainers

Pete Armitage
Design Trainer
Pete leads UX Design at Proxify, where he runs AI education across R&D and builds workshops for cross-functional teams. As a long-time design mentor at CareerFoundry and guest speaker on Responsible AI, he shows participants how AI actually changes the day-to-day work of designers.

Hannah Baker
Trainer
Hannah is Co-Founder of The Fountain Institute, where she has designed and led cohort-based courses for 1000+ senior designers on research, strategy, and facilitation. With a Master’s in Art & Museum Education and a background building global designer communities, she brings deep expertise in how designers actually learn.

Chloe Benning
Learning Designer
The instructional concept for this course was designed by Chloe Benning, who works in product at Parloa, one of Europe’s leading AI companies. She keeps the curriculum aligned with how top companies are actually using AI tools and frameworks today.

Evi Graner
Career Coach

Alex Maxwell
AI trainer
Alex works at Zapier’s AI Leaders Lab and is one of the course instructors. She combines hands-on AI implementation experience with a background in education and data science, giving participants an inside view of how AI actually gets adopted inside companies.
For people who want to bring AI into how companies work.
Whether you’re a:
• Project or operations professional
• Business or process analyst
• Continuous improvement or transformation expert
• Career changer with business experience
You’ll graduate with practical skills and a portfolio project.
Potential roles after completing this program
• AI Automation Specialist
• Workflow Automation Consultant
• AI Operations Manager
• AI Business Analyst
Next cohort:
January 25th 2027
FAQs
Is this really free?
What happens when one cohort is full?
That can happen quickly, as working in small groups is part of the learning experience. You’d have to wait for the next cohort to begin, just get in touch.
I am English speaking, can I join?
Do I need a technical background?
No coding background is needed. Module 1 introduces technical foundations step by step, with additional support for beginners and optional challenges for more experienced learners. Later modules build on these skills while providing guidance for students with different technical backgrounds.
Do I need experience with AI tools?
Some hands-on experience with AI tools such as ChatGPT or Claude is expected. You don’t need to be an expert or know how to code: the course builds on what you already know and takes you step by step to no-code automations and AI agents.
Will this course be outdated in six months?
The course is built around skills that last: analyzing processes, building and testing AI solutions, governance and measuring impact. The tools we use are current examples, the methods stay relevant even as the tools change.
Not sure if this course is the right fit for you? We are happy to suggest alternative courses.
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