AICourseforExecutivesandManagers
You do not need to know how to code to lead AI adoption in your organisation. You need to know which decisions to make, which risks to manage and which obligations are already law. That is what we work on.
The executive who understands AI is not the one who uses the most tools
The pressure to adopt AI in organisations is real. So is the confusion about what to do with it. Most decision-makers who come to this training are not looking to learn how to use ChatGPT: they want to understand which strategic decisions they need to make now, what their competitors are doing wrong by rushing ahead without judgement, and which obligations the law already imposes that few people know about.
The European Artificial Intelligence Regulation (AI Act) entered into force in August 2024. Its Article 4, applicable since 2 February 2025, requires providers and deployers of AI systems to ensure their staff has a sufficient level of AI literacy for the work they perform. Complying is not enough: it is wise to be able to document it as evidence. In this training we work on exactly that: what that mandate means for your organisation, how to comply with it efficiently and how to turn that obligation into a real competitive advantage over those who ignore it.
What an executive needs to know about AI (and no YouTube tutorial covers)
Adoption strategy: what to integrate and in what order
The question is not whether to adopt AI, but where the return begins. Marketing, sales, HR, operations, customer service: each area has use cases with different costs, different risks and different returns. In the training you build your organisation's priority map with real judgement, not by copying what your sector neighbour is doing.
AI Act Article 4: the obligation that is already law
Article 4 of EU Regulation 2024/1689 requires that staff who work with AI systems have sufficient training to understand their capabilities and limitations. This is not a recommendation, it is a legal obligation subject to AESIA oversight from August 2026. The training gives you the framework to design your organisation's AI literacy plan and document it.
Data-driven decisions, not intuition
AI allows more data to be analysed in less time, but the risk is confusing correlation with causation or delegating to the system what requires human judgement. In the training we work on how to use AI-assisted dashboards and analyses to make better decisions without losing control over the reasoning behind the data.
Internal governance: an AI usage policy that works
A company without an AI usage policy already has one: everyone does whatever they want with tools that potentially expose confidential data. In the training we build the governance framework your organisation needs: what can be used, what requires approval, what is prohibited and how it is documented.
How this executive training is designed
1. Context without jargon
We start with a clear conceptual framework: what generative AI can do today, what it cannot do even if it seems like it can, and why strategic decisions about AI require not coding skills but the ability to ask the right questions. The language is management, not engineering.
2. Cases from your sector and company size
We work with real examples from organisations of the same size and sector as yours: where they have gained productivity, what mistakes they made when adopting AI without judgement and what they had to undo. Knowledge of what has already gone wrong elsewhere is worth more than demos of what works in a lab.
3. Up-to-date legal and risk framework
A dedicated module on the AI Act, GDPR applied to AI systems, intellectual property of AI-generated outputs and liability when an automated system makes an incorrect decision. This is not a law lecture: it is what you need to know so you do not sign away risks without understanding what you are agreeing to.
4. Action plan for your organisation
At the end, each executive leaves with a draft AI adoption plan for their organisation: integration priorities, governance criteria, team literacy plan and tracking metrics. It is not a generic document; it is the real starting point for the next decision.
Looking for AI training for the whole company, not just leadership? See AI course for businesses
Executive training 100% subsidised, administration included
IAescola is a FUNDAE-registered training provider (code 9900033425). We handle all the administrative paperwork so your organisation's executives and managers can train in compliance with the AI Act without adding administrative burden.
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Application and prior notice to SEPE within the correct deadlines.
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Execution documentation: attendance, assessment and official certificates to evidence AI Act Article 4 compliance.
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Final justification so your company can claim the Social Security contribution subsidy.
Who delivers the training?
Julien Bellet
Founder and lead trainer · IAescola
Specialist in digital transformation with applied AI. Over 10 years building products and training teams in advanced digital tools. Trains professionals, teams and educational centres online across Spain and in-person in Catalonia. Multilingual: Catalan, Spanish, English, French.
View LinkedIn profileFrequently asked questions
What exactly does AI Act Article 4 require of companies?
Article 4 of EU Regulation 2024/1689 (AI Act) states that both providers and deployers of AI systems must take measures to ensure their staff possess a sufficient level of AI literacy, taking into account their technical knowledge, experience and the context in which AI systems will be used. It has been applicable since 2 February 2025. In practice, it is wise to be able to document that your staff have received specific AI training as evidence of compliance. This training generates that documentation.
Is this training for technical executives or also for management profiles with no digital background?
It is designed specifically for management profiles with no technical background: CEOs, general managers, area directors, middle managers. The focus is strategic and governance-oriented, not technical. There is no coding, no talk of algorithms: we work with business judgement, decision frameworks and real cases from organisations of the same size.
How does this training differ from a 2-hour AI seminar for executives?
A 2-hour seminar gives general context and generates questions. This training gives concrete answers and working tools: a use case map for your sector, a draft AI usage policy, the AI Act framework applied to your organisation and a team literacy plan. When you leave you have something you can implement, not just ideas to think about.
What legal liability does an executive have when an AI system makes an incorrect decision?
It depends on the type of system, the sector and the level of human oversight established. The AI Act distinguishes between high-risk systems (where human oversight is mandatory and documented), limited-risk systems and minimal-risk systems. For high-risk systems, the deployer (which in many cases is the company) has active responsibility over the operation and the outcomes. In the training we review which AI systems already in use in companies fall into these categories and what that means for the executive.
Does it make sense for executives to do the training before the rest of the team?
Yes, and it is the most efficient order. If executives first understand the strategic framework, the risks and the priorities, the rest of the team's training can be designed with real criteria rather than being an experiment. Executives who arrive at their team's training without having gone through their own often do not know what to ask in progress reports or how to evaluate the return.
Can this training be combined with training for the rest of the team?
Yes. We offer programmes at two levels: a session for executives (strategic vision, governance, AI Act) and role-specific sessions (marketing, sales, HR) for the team. The most common approach is to start with the executive level and then roll out training by department using the priority map defined in the first session.
Let us talk about your organisation
No commitment. We explain which obligations already apply to your company, which use cases have the best return in your sector and how to design your AI adoption plan.