The training content at a glance

1. Overview of artificial intelligence and machine learning

2. Classification of current trends such as chatbots & agents

3. Structure and process of an ML project

4. Systematic identification of ML use cases

5. Evaluation of business impact

6. Industry spotlights and practical exercises

7. Typical risks and pitfalls of ML applications

8. Carrying out an ML project assessment

9. Strategic positioning for sustainable ML success

10. Concrete recommendations for action for companies

Target group

The workshop is aimed at employees with an interest in AI as well as managers who are responsible for data and ML initiatives or would like to provide strategic support. Previous knowledge of machine learning is not required; basic English and maths skills are assumed.