Local AI for companies: keep your data in-house
Run open-weight language models on your own hardware: sizing, Ollama, a team chat with accounts, document Q&A on internal files and an OpenAI-compatible API, secured and documented.
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What you get
- 10 lessons in 4 modules, English and German
- A hands-on task with checklist in every lesson
- Download: Hardware sizing sheet with rules of thumb (DE + EN)
- Download: docker-compose.yml for Ollama + Open WebUI
- Download: Security and privacy checklist for local AI (DE + EN)
- Lifetime access, sign-in with your email
Format Online course · 10 lessons · 3 downloads
A local model server with a team chat UI, user accounts, one document collection to ask questions about, an API for your tools and a written security and privacy baseline.
For: Small and mid-sized companies, IT leads and developers who want to use AI on confidential data without sending it to an outside provider.
You need: Needs a Mac with Apple silicon and at least 16 GB of memory, or a Linux machine with an NVIDIA GPU, plus Docker and basic terminal skills. A server for the team is optional at the start.
Self-study course: slides in English and German, hands-on tasks and templates, at your own pace. No graded tests, no individual tutoring. Course outline
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