AI Training for Teams
AI your team actually uses.
Live online training from first steps to advanced agents. Your people practise on your own processes, taught by a senior engineer who builds with AI every day.
What you get
- Live online sessions in English, German or Greek
- Beginner to advanced, matched to each team
- Practice on your own processes, not generic exercises
- Working automations your team understands and can maintain
- A dated training record for your AI literacy documentation
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Training that ends in working software
An AI account does not change how work gets done. That changes when people learn to apply AI to the tasks in front of them, check what it produces, and keep the result running.
So we train on your processes rather than on made-up examples. Your team brings a real workflow, and the training is built around improving it.
Three levels, from first steps to advanced
Teams start where they are. Discovery settles which level fits, and each one can be booked on its own.
Foundations
For teams new to AI at work.
- How the tools work, and where they fail
- Using AI safely with company data
- Practical use on everyday tasks
- A starting point for your company AI policy
Workflow Sprint
For teams ready to automate a real process.
- Choosing one process worth automating
- Building it during the programme, with review
- Testing the result and handling its failures
- An automation your team can keep running
Agents and MCP
For technical and advanced teams.
- Designing agents and their guardrails
- Connecting AI to your systems over MCP
- Permissions, review and monitoring
- Working with your own code and tools
How the training works
Who teaches, and what we build
Your trainer is Alexandros Fotiadis, a senior software engineer with nearly 13 years of experience across frontend, backend, cloud and AI. The examples come from software we build and run.
Taxisfox
In productionA multi-tenant financial document platform for Greek small businesses and accountants, with AI extraction of document data. Built end to end with our agentic workflow.
clockwork
Open sourceAn MCP server that lets an assistant log work in natural language and turn git commits into worklogs, plus a terminal interface over the same data.
AI literacy and the EU AI Act
Article 4 of the EU AI Act asks providers and deployers of AI systems to take measures that support the AI literacy of their staff. It does not require a particular certificate or course format.
Every training ends with a dated record of who attended and what was covered, which you can add to your own documentation.
How we engage
We scope and quote each training after Discovery, because the right programme depends on your team, your level and your processes.
- Discovery
- Training plan
- Live training
- What comes next
There is no obligation to continue after any step.
When a team wants help going further, the usual next steps are an MCP integration or a Private AI Platform.