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Beginner100% tuition-freeDuration: 9 months4 Certification preparation

AI Systems & Automation Developer Program

Build a nine-month portfolio from workplace AI through full-stack apps to reliable AI systems with RAG and agents. Multiple capstones and recognized certification prep included.

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Nine months full-time (~1,800 teaching units) for career changers: block 1 workplace AI and automation, block 2 full-stack apps with tests and CI/CD, block 3 AI systems with RAG, agents, and evaluation. Three capstone milestones. Certification prep for Google AI, AWS Cloud Practitioner, and AWS AI Practitioner. Target roles include automation or AI systems engineer.

What you'll be able to do

  • GDPR-aware AI adoption and stakeholder communication
  • Full-stack apps with tests, CI/CD, and AWS fundamentals
  • Reliable AI systems with RAG, agents, and evaluation
  • Multiple capstones as portfolio milestones
  • Prep for Google AI, AWS Cloud Practitioner & AWS AI Practitioner
  • Entry as automation or AI systems engineer

Portfolio proof

  • Workplace automation capstone
  • Deployed full-stack application
  • RAG/agent system with evaluation report

Curriculum overview

3 modules

Module 1Months 1–3

AI at work

Productivity, automation, and capstone

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Module 2Months 4–6

Full-stack development

Deployable web or mobile application

ReactNode.jsDockerGitHub ActionsAWS
Module 3Months 7–9

AI systems

RAG, agents, integration, and operations

FastAPILangChainvector DBn8n

Frequently asked questions

Common questions about this program — funding, format, and outcomes.

Who it's for

This program is for career changers and job seekers who want a complete route into AI systems and automation engineering — including workplace AI, full-stack software delivery, and integrated AI systems with RAG and agents.

No. Technical depth builds progressively from workplace AI and automation through full-stack development to AI systems engineering. Motivation, consistency, and digital confidence are essential for this intensive full-time path.

Curriculum & format

Months 1–3 cover workplace AI, automation, and a productivity capstone. Months 4–6 cover full-stack development with React, Node.js, Docker, CI/CD, and AWS fundamentals. Months 7–9 cover AI systems — RAG, agents, integration reliability, evaluation, and operations with FastAPI and LangChain-style tooling.

Yes. The program includes multiple capstone milestones — a workplace automation project, a deployed full-stack application, and an AI systems project with RAG/agents and an evaluation report.

The program includes Ai School / StartSteps completion evidence and structured preparation for Google AI Professional Certificate, AWS Certified Cloud Practitioner, and AWS Certified AI Practitioner. External exam success is not guaranteed.

The program is an intensive full-time live-online path (~1,800 teaching units over 9 months) with live sessions, guided labs, project work, self-study, and certification preparation across the week.

Outcomes & funding

Depending on your progress, target roles may include automation engineer, integration engineer, junior AI systems developer, AI-assisted software developer, or junior full-stack developer with AI systems focus.

Participation may be funded by Agentur für Arbeit or Jobcenter if you are eligible and receive a Bildungsgutschein. You will need to make an appointment with your local agency — they decide eligibility individually. We can share course information and help you prepare for that conversation.

The 6-month program ends after junior full-stack software delivery. This 9-month program adds a third phase focused on AI systems, RAG, agents, integration reliability, and operational evaluation — preparing you for automation and AI systems engineering roles.