Practical, modular, applied

AI training that starts from real work.

We do not deliver abstract AI lectures. We build paths around tools, processes and concrete business problems: email, documents, data analysis, marketing, sales, customer care, HR, management and development.

Method

From understanding to actual usage.

Training is useful only if it changes how people work. That is why the path combines use cases, internal rules, tool limitations and reusable outputs.

1

Role analysis

Who uses AI, with which tools, for which tasks and with which data.

2

Practical labs

Exercises on real processes, not generic demos.

3

Rules and responsibilities

What can be uploaded, what must be checked, who approves and when to stop.

4

Reusable materials

Prompt library, checklists, examples, concise policies and operating sheets.

Training levels

A path for every profile.

Business basics

For users starting with generative AI in a correct, useful and safe way.

Operational intermediate

For teams improving processes, analysis, content and workflows.

Managers and governance

For decision makers and sensitive teams: risk, policy, AI Act and control.

Technical and agents

For prototypes, agents, automation, RAG and AI over company documents.

Tailored path

Build training around your teams.

Share roles, number of people, tools already in use and goals.

Robot protection without external services: hidden field, time check and random anti-spam question.