A shared part
A standard part, the same in every programme. On top of it, the modules tailored to each function.
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The aim is to avoid generic courses and set up programmes that follow role, risk and the everyday use of artificial intelligence. The approach can include:
A standard part, the same in every programme. On top of it, the modules tailored to each function.
Content built on the tools actually in use, not a round-up of products.
A measure of the starting point, at the beginning of the programme.
Tracking of the training and updates at regular intervals.
Process mapping and support in defining internal policy.
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The training can cover:
What artificial intelligence is and how the main systems work. The difference between predictive, generative and agentic AI.
Where models fail, how bias gets in, how to check an output before you put your name on it.
Privacy, cybersecurity, intellectual property: what you may feed a tool, and what you may not.
The AI Act, internal policy, the responsibilities of employees.
Checking outputs and using the tools responsibly.
Use cases specific to each role. This is the part that changes from function to function.
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The AI Act and AI literacy programme is still in development. Here is what the project aims at.
The AI Act sits among the topics of the programme, alongside internal policy and the responsibilities of employees.
Programmes that leave a trace and line up with regulatory requirements, open to assessment and updated over time.
Modules tailored to role and adapted to the tools in use, available as e-learning as well, and tied to the mapping of processes.
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Content is adapted to the sector, the audience, the level of knowledge and what the organisation is trying to do.
Working sessions on the subjects and tools chosen with the organisation.
Masterclasses, webinars and lectures. The level is cut to the audience.
Strategy sessions for the people who decide.
Stage talks at corporate and institutional events.
Bespoke programmes, tuned to the sector and to where the organisation starts from.