- Different audiences need different AI training: business teams, managers and IT teams do not learn the same things.
- The most requested topics are ChatGPT and AI assistants, AI agents and automation, and AI governance under the EU AI Act.
- Training on your own use cases and data works far better than generic courses.
- Measure the result: time saved on real tasks, number of use cases in production, adoption after 30 and 90 days.
Most companies now have employees using ChatGPT or other AI assistants, often without any guidance. The result is uneven: a few people gain hours every week, others are disappointed, and nobody is sure which data can be shared. A well-designed AI training for employees turns these scattered experiments into a shared, safe and productive practice.
Why train your teams in AI now?
- Productivity: the gains from AI assistants come from knowing what to ask, how to check answers and how to build them into daily work.
- Risk: without rules, confidential data ends up in public tools and AI outputs are used without verification.
- Regulation: the EU AI Act requires organisations that use AI systems to ensure a sufficient level of AI literacy among their staff, an obligation that applies since February 2025.
- Retention: people want to learn these skills; companies that teach them keep their talent.
Which AI training for which audience?
| Audience | Goal | Typical content |
|---|---|---|
| Business teams | Be productive and safe with AI assistants | Prompting, ChatGPT and Claude for writing, analysis and research, checking outputs, data rules |
| Managers and leadership | Decide where to invest | Use-case selection, ROI, risks, budget, roadmap, change management |
| IT and developers | Build AI systems | LLM APIs, RAG, AI agents, evaluation, security, costs, deployment |
| Compliance, HR, legal | Govern AI responsibly | EU AI Act, GDPR, internal AI policy, vendor assessment |
The topics companies ask for most
ChatGPT and AI assistants
In Tunisia, searches for “ChatGPT training” are now higher than for “AI training” in general: people want concrete skills on the tool they already use. A good session covers effective prompts, reusable templates, verification of results and what must never be pasted into a public tool.
AI agents and automation
The next step after the assistant: connecting AI to your tools to automate whole tasks. Training covers what an agent is, workflow tools such as n8n, and how to design human checkpoints. See our guide to AI agents for business.
AI governance and the EU AI Act
For organisations working with Europe, a short program on the AI Act, GDPR and an internal AI policy gives everyone clear rules and documents the company’s AI literacy effort.
Workshop, bootcamp or long-term program?
- Executive briefing (half a day): align the leadership on opportunities, risks and priorities.
- Hands-on workshop (half a day to two days): each participant leaves with prompts, templates and workflows applied to their own job.
- Technical bootcamp for IT teams: code labs on your stack to build a first RAG assistant or agent.
- Long-term program: several sessions over weeks, internal champions and follow-up, so habits last.
Whatever the format, the rule is the same: exercises on your own processes and, where possible, your own data. People adopt what they have already used on their real work.
How to choose an AI training provider
- Practitioners: are the trainers people who build and deploy AI systems, not just presenters?
- Customisation: does the program start with an assessment of your teams and goals?
- Practice ratio: at least half of the time should be hands-on.
- Language and location: sessions in French or English, on site or remote.
- Follow-up: is there support after the training to turn skills into real projects?
How to measure the results of an AI training
- Time saved on a few reference tasks, measured before and after.
- Number of AI use cases actually used by the team after 30 and 90 days.
- Share of employees using approved AI tools, and incidents avoided thanks to the AI policy.
- Satisfaction and confidence of participants.
At 123 Consultancy we design AI training and consultancy programs for business teams, managers and IT teams, in French or English, on site or remote. Each program starts with a short assessment and uses your own cases. Tell us about your teams and we will propose a program.
FAQ
What should an AI training for employees cover?
For most teams: how AI assistants work and fail, effective prompting, checking results, data protection rules, and applying AI to their own tasks. Managers add use-case selection and ROI; IT teams add LLM APIs, RAG and agents.
Is AI training mandatory under the EU AI Act?
The AI Act requires providers and deployers of AI systems to take measures to ensure a sufficient level of AI literacy among their staff. It does not impose a specific course, but training is the most direct way to meet and document this obligation.
How long does an AI training take?
From a half-day executive briefing to two-day hands-on workshops, or a program spread over several weeks. The right length depends on the audience and on whether the goal is awareness, productivity or building systems.
Do you offer AI training in Tunisia and in France?
Yes. We run sessions on site and remotely, in French or English, for teams in Tunisia, France and elsewhere.
