Training & Support

Two training tracks for the people who use AI and the people who run it. Plus two services that keep your sovereign stack sharp after handover.

Training

Two tracks: for the people who use AI day to day, and for the people who run the platform.

For business users

AI Power Users

Better prompts, safer habits

Use AI tools effectively in daily work: better prompts, personal agents, and a clear sense of what is safe under GDPR.

  • Effective prompting techniques (chain-of-thought, persona framing, iterative refinement)
  • Personal AI agents for recurring tasks (email drafting, meeting prep, research)
  • GDPR sensibility: what is safe to put into AI tools, and what is not
  • EU AI Act basics for your business
  • Hands-on exercises on participants’ own real tasks

Format: 1-day workshop · 1–20 participants · on-site or virtual

Ideal for: Managers, team leads, HR, Sales, Operations: anyone who uses AI tools daily.

Discuss this in a discovery call
For IT teams

AI Engineering

Deploy it, then run it like prod

Day 1 deploys the sovereign stack from scratch. Day 2 turns it into a production platform. Take both back-to-back, or split them.

  • Day 1: Containerization, Docker fundamentals, GPU passthrough
  • Day 1: Local inference with Ollama and vLLM, Open WebUI, n8n basics
  • Day 2: RAG pipelines, embeddings, vector databases, hybrid search
  • Day 2: Coding assistants, email triage, advanced n8n workflows
  • Day 2: Monitoring, observability, response-quality evaluation

Format: 1–2 day hands-on workshop · 1–20 participants

Prerequisites: Basic Linux/terminal comfort. Day 2 requires Day 1 (or equivalent).

Ideal for: IT teams, sysadmins, developers, and platform engineers.

Discuss this in a discovery call

After Handover

Once your Sovereign AI Stack is deployed, two services keep it sharp. Extra hands when you need them, and a known expert on call.

AI Engineer on Demand

Senior capacity, on tap

Senior AI engineering capacity, on tap, without the cost of a full-time hire.

Project Retainer Advisory
  • New RAG pipelines, integrations, or automations, built on top of your sovereign stack
  • Models swapped or upgraded, validated in staging before they reach production
  • Architecture reviews when your team is weighing a decision worth a second pair of eyes
  • Pair-engineering with your team, so capability transfers, not just code

Ideal for: Teams that want senior AI engineering on tap, without committing to a full-time hire.

Discuss this in a discovery call

Platform Support

Someone to call when something breaks

A direct line when something breaks, plus a quarterly read on the most capable open-source LLMs worth running on your stack.

  • A direct line to an engineer who already knows your deployment when something goes wrong
  • Agreed response windows for technical issues, so you know exactly what to expect
  • A curated quarterly list of the most capable open-source LLMs, so your team knows what is worth running next
  • A short written record after every break/fix call: root cause, what was changed, how to spot it next time

Format: Monthly retainer · scope and response window agreed up front

Ideal for: Teams that own the platform but want a known expert on call.

Discuss this in a discovery call

Ready to gain control over your AI?

A free initial consultation is the fastest way to assess whether and how a dedicated AI solution can be implemented for your business. Secure, independent, and tailored to your needs.

Book a Discovery Call