AI Foundation (eLearning+Classroom)

From AI theory to practice: learn, practise, and apply across two interactive classroom days. Become proficient in the world of Artificial Intelligence (AI) with this EXIN-accredited AI Foundation learning pathway, based on the internationally recognised BCS AI Foundation syllabus.

This training combines e-learning (8 hours) with two classroom days (8 hours each). This allows you to first acquire the theoretical foundation online and then immediately apply, practise, and deepen this knowledge during the classroom days. The classroom sessions offer interaction with expert trainers and fellow participants, space for practical examples and case studies, and the opportunity to ask questions and receive direct feedback. This ensures the theory is effectively translated to your own organisation.

During the learning pathway, you will use our AI Playground, where you will build and assess your own AI models. You will also be introduced to the EU AI Act Buddy, a clever interactive AI assistant that helps you make complex legislation and ethical guidelines understandable and practically applicable to AI projects.

Available languages: Dutch, English, German, and Spanish.

This training is suitable for a wide range of professionals:

* Business professionals and managers who assess or oversee AI applications.
* Risk and compliance officers responsible for laws and regulations.
* IT and data teams who develop or manage AI systems.
* Government and non-profit organisations deploying AI within policy or service delivery.
* Innovation, product, and process managers who want to use AI to improve processes or services.
The programme is designed to develop AI literacy and provide participants with the foundation to apply AI responsibly and practically. The two classroom days reinforce this through interactive exercises, practical cases, and direct application to your own organisational context.

After this learning pathway, you will be able to apply AI in a responsible and future-oriented manner. You will learn to identify risks and ethical dilemmas, develop policies, and assess AI applications according to international and European guidelines.
Learning Objectives:

* Understand ethics and responsibility in relation to data and AI.
* Develop a practical approach for the ethical use of AI.
* Collect and manage data in a legal and ethically responsible way.
* Manage bias, unexpected outcomes, and AI risks.
* Gain insight into the EU AI Act and guidelines for Trustworthy AI.
* Design AI solutions that comply with legal and ethical standards.
* Apply knowledge practically during the two classroom days.
* Become aware of future trends and developments in AI.

* Ethics and responsibility in data and AI
* Developing a strategy for the ethical use of data and AI
* Practical application of the EU AI Act and legal frameworks
* Collecting and managing data according to legal and ethical guidelines
* Managing bias, unexpected outcomes, and risks
* Designing explainable and transparent AI systems
* Practical exercises and case studies during the two classroom days
* Use of the EU AI Act Buddy for real-time advice and support
Added value of the two classroom days:

* In-depth practical cases and interactive exercises.
* Direct application of theory to your own organisation and AI projects.
* Opportunity to ask questions and exchange knowledge with the trainer and fellow participants.
* Strengthened understanding and practical applicability of the EU AI Act.

The e-learning can be followed at your own convenience and pace. After completing the e-learning, you will attend two classroom sessions over two days (8 hours per session) in Utrecht. You can choose your preferred dates from our schedule:
https://axveco.com/en/start-here/

After completing this learning pathway, you can further specialise with follow-on programmes and related courses. These build upon the knowledge and practical experience you have gained during both the e-learning and the two classroom days.
Examples include pathways covering:

* Advanced AI techniques, machine learning, and deep learning
* Generative AI, GPTs, and smart agents
* Data-driven decision-making and the integration of AI into business processes
* Ethical and legal frameworks, including further in-depth study of the EU AI Act
The classroom days offer extra value through direct application and interaction. Furthermore, we can work with you to develop a bespoke learning path, ensuring the knowledge acquired perfectly aligns with your role, team, or organisation.