Artificial intelligence (AI) is more than chatbots, such as ChatGPT, and this training is designed to transfer knowledge that encompasses more than such applications. The training: “AI Fundamentals” provides a firm fundamental understanding of what artificial intelligence is and guides participants in making the most of its benefits for your organization. The training also extensively discusses risks and what to do and what not to do with artificial intelligence.

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The “AI Fundamentals” training is ideal for beginners with no prior knowledge, aimed at individuals who want to develop a thorough understanding of artificial intelligence and learn how to apply AI and navigate its risks within their organization.

The “AI Fundamentals” training takes a blended learning approach that consists of various teaching methods to ensure a thorough understanding of artificial intelligence, aimed at applying this knowledge within the participant's organization. The methods include:

Interactive Presentations: Core concepts of AI are introduced through dynamic presentations, enriched with real-world examples and case studies to link theory to practice.

Group Discussions: Participants are encouraged to discuss specific AI themes in small groups, which encourages the exchange of ideas and promotes a deeper understanding of the subject matter.

Practical Workshops: In these sessions, participants work on hands-on projects, exploring AI tools and software and learning how to develop and implement AI solutions.

Q&A Sessions: Regular Q&A sessions offer participants the opportunity to receive direct feedback and clarifications from the trainers, contributing to a better understanding of complex topics.

Live Demonstrations: Demonstrations of AI technologies in action, including machine learning models and NLP applications, to illustrate the possibilities and limitations of AI in the real world.

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• Introduction to Artificial Intelligence
• What is AI? A historical overview
• Different types of AI and their applications
• Key terminology in AI
• Understanding AI Technologies
• Machine Learning and Deep Learning Explained
• Natural Language Processing (NLP)
• Computer Vision and Pattern Recognition
• Practical Applications of AI
• Case studies: Successful AI projects
• Demonstration of AI tools and software
• AI in the Business Context
• How AI can add value to your organization
• Identifying AI opportunities in your company
• Ethics and Risk Management in AI
• The ethical considerations when using AI
• AI risks and limitations
• Best practices for using AI responsibly
• Workshop: AI Idea Lab
• Group brainstorming session to come up with AI solutions for hypothetical business scenarios
• Group project presentation and feedback
• Closing and Questions
• Summary of the day
• Space for questions and discussion
• How to continue to learn about AI and stay involved with the AI community

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