In this two-day training, you will learn as a manager or executive how to strategically deploy AI within your organization. You will gain a clear overview of the core principles of AI, machine learning, and generative AI, and discover how to translate this knowledge into concrete decisions regarding implementation, team composition, and risk management. Through practical assignments, you will work on real-world use cases and learn how to weigh the opportunities and risks of AI, including ethical issues, the EU AI Act, and human-machine collaboration.

What you will learn

• The basic principles of AI, machine learning, and generative AI applied for managers.
• The difference between data, AI, and machine learning, and when to use which technology.
• How to strategically implement AI in business processes and operational workflows.
• Opportunities and risks of AI in various sectors: the private and public sectors.
• Ethical issues surrounding AI: bias, transparency, accountability, and oversight.
• The EU AI Act: what this law entails and what it means for your organization.
• How to build an effective AI team and organize collaboration between humans and machines.
• AI governance: policy, decision-making, and responsible AI use at the organizational level.

Content (program overview)

Day 1 – Understanding AI as a manager

Part 1 – What is AI and how does it work?

• Core principles of AI, machine learning, and generative AI explained in an accessible way.

Part 2 – Data, AI, and machine learning

• What are the differences, when do you use which, and what do you need to get started?

Part 3 – AI in practice

• Applications of AI in the private and public sectors: use cases and real-world lessons.

Part 4 – Ethics and responsible AI use

• Bias, transparency, human oversight, and the ethical dilemmas of AI deployment.

Day 2 – Implementing AI strategically

Part 5 – The EU AI Act

• What the law requires, which obligations apply, and what this means for your organization.

Part 6 – Human and machine

• How do you organize effective collaboration between employees and AI systems?

Part 7 – AI strategy and implementation

• Setting up an effective AI team, building a roadmap, and establishing governance.

Part 8 – Opportunities, risks, and the future of AI

• How is AI evolving and how do you position your organization for the future?

Part 9 – Practical assignment & Q&A

• Developing your own use cases, creating a personal action plan, and answering questions.

• Executives, managers, and directors who make strategic decisions regarding AI.
• Professionals from the business world and the public sector who want to integrate AI into their organization.
• Anyone in a leadership role who wants to get a grip on the opportunities, risks, and impact of AI.

Prerequisites

• No technical background required.
• Basic familiarity with technological concepts is helpful but not necessary.
• Some experience with AI tools such as ChatGPT or Copilot is a plus.