Module 1~3 months
AI systems
Readiness check, integration, RAG, agents, and capstone
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Advanced100% tuition-freeDuration: 6 months3 Certification preparation
Advanced AI Systems & Cloud Engineering
Built for developers who already ship code. Over six months you work on production AI systems, then cloud GenAI on AWS with MLOps, governance, and private LLMs. Two capstone projects show employers what you can deliver.
Six months full-time (1,200 teaching units) for experienced developers: first integrated AI systems with RAG, agents, and evaluation, followed by AWS GenAI, MLOps, and private/on-prem LLMs. Two capstones and prep for AWS AI Practitioner and GenAI Developer Professional. Bildungsgutschein funding may apply when approved.
What you'll be able to do
- Integration and automation under reliability requirements
- RAG/agents with evaluation, cost control, and monitoring
- AWS GenAI delivery with security and compliance
- Private/on-prem LLM literacy (Ollama/vLLM)
- MLOps/LLMOps and team-ready review practice
- Prep for AWS AI Practitioner & GenAI Developer Professional
Portfolio proof
- Systems capstone
- Advanced cloud GenAI capstone
Curriculum overview
2 modules
Module 2~3 months
Cloud GenAI
AWS GenAI, MLOps, governance, and final capstone
AWSOllamavLLMmonitoring
Frequently asked questions
Common questions about this program — funding, format, and outcomes.
Who it's for
Experienced developers and IT professionals with a proven delivery baseline — maintainable application, Git history, APIs, Docker, and deployment evidence — who want to level up for AI systems, cloud GenAI, and MLOps-oriented engineering roles.
No. This is a lateral-entry advanced program. You should already deliver software with Git, APIs, testing, and deployment discipline. It is not a beginner coding pathway.
The program opens with a readiness check and alignment on API workflows, Git-based delivery, CI/CD hygiene, containerization, and cloud fundamentals. This is part of the 1,200 teaching units, not extra time on top.
Yes. In our live Q&A, every Friday from 13:00–14:00 (Berlin time), we answer questions about the programs, the Bildungsgutschein, and applying. Free on a video call, no sign-up needed. You'll find the link and upcoming dates on the Live Q&A page.
Curriculum & format
Phase 1 covers AI systems and automation — integration reliability, RAG, agents, evaluation, and operational safeguards. Phase 2 covers cloud and advanced AI engineering — AWS GenAI delivery, MLOps/LLMOps, private/on-prem LLM patterns (Ollama/vLLM), security, compliance, and observability.
Yes. You will deliver an AI systems capstone and an advanced cloud GenAI capstone with deployment evidence, evaluation reports, documentation, and operational narrative suitable for senior junior or mid-transition role applications.
The program includes structured preparation for AWS Certified AI Practitioner and AWS Certified Generative AI Developer – Professional. AWS Machine Learning Engineer – Associate may be offered as an optional stretch path depending on readiness. Exam success is not guaranteed.
The program runs for 6 months (1,200 teaching units), delivered as intensive full-time live online learning.
Outcomes & funding
Target roles may include AI systems engineer, integration/automation engineer, GenAI application engineer, cloud AI engineer, or MLOps/LLMOps-oriented junior-to-mid engineering roles — depending on your prior experience and capstone quality.
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 9-month AI Systems & Automation Developer pathway starts from workplace AI and builds technical depth progressively for career changers. This 6-month program assumes you already code and deploy software, and moves faster into production AI systems and cloud GenAI engineering.