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Advanced100% tuition-freeDuration: 3 months2 Certification preparation

Advanced AI Systems & Automation Developer

For developers with prior experience: build integrated AI systems with RAG, agents, evaluation, and runbooks. Includes an onboarding bridge and AWS AI Practitioner prep.

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Three months full-time (700 teaching units) for developers with Git, API, and deployment experience. Includes a 2-week onboarding bridge, then modules on reliable integrations, RAG and agents with evaluation, FastAPI services, and a systems capstone. AWS Certified AI Practitioner prep. GDPR minimization built into system design.

What you'll be able to do

  • Robust integrations with webhooks, retries, and runbooks
  • RAG and agent patterns with evaluation and cost control
  • FastAPI AI services with monitoring
  • GDPR minimization in system design
  • Preparation for AWS Certified AI Practitioner
  • Capstone with demo and operational narrative

Portfolio proof

  • RAG microservice with evaluation report
  • Integration with runbook

Curriculum overview

3 modules

Module 1Weeks 1–4

Integration & reliability

Reliable workflows and runbooks

n8nPostmanGrafana
Module 2Weeks 5–8

RAG, agents & evaluation

RAG microservice and evaluation report

LangChainFastAPIvector DB
Module 3Weeks 9–12

Capstone & AWS AI Practitioner

Systems capstone and exam preparation

AWS AImonitoring tools

Frequently asked questions

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

Who it's for

This program is for software developers and IT professionals with prior delivery experience — Git, APIs, and a deployed project — who want to specialize in production-minded AI systems, integration, RAG, agents, and automation engineering.

No. This is an advanced-entry program. You should already be comfortable with code, Git workflows, APIs, and basic deployment. It is not designed for learners without prior development experience.

Demonstrable programming experience (Git, JavaScript/TypeScript or Python, APIs, deployed project), a portfolio review, and a technical suitability interview. English B1+ is recommended for technical instruction.

Yes. The 2-week onboarding bridge aligns technical readiness across participants before the main program — covering API workflows, Git delivery, CI/CD hygiene, containerization, and cloud/service fundamentals required for progression.

Curriculum & format

You will learn robust integrations with webhooks and retries, RAG and agent patterns, evaluation and cost control, FastAPI AI services with monitoring, GDPR-aware system design, and runbook-style operational thinking.

Yes. You will deliver capstone evidence such as a RAG microservice with an evaluation report and an integration with operational runbook documentation suitable for employer review.

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

GDPR minimization, responsible AI, and compliance-aware design are applied directly in system architecture, data handling decisions, and governance-oriented project work — not as abstract theory only.

Outcomes & funding

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.