Artificial intelligence: basics, applications and future prospects

1. introduction to artificial intelligence

• Definition and key terms
• Historical development and milestones
• Weak vs. strong AI: differences and significance
• AI in everyday life: practical examples

2 Generative AI and current technologies

• What is generative AI? Examples such as ChatGPT, DALL-E
• Typical fields of application: Text, image, audio
• Differences to classic AI approaches
• Challenges: Bias, transparency, data quality

3. technical basics

• Role of data, algorithms and models
• Machine learning: supervised, unsupervised, reinforcement learning
• Neural networks and deep learning
• Computer vision and NLP: basics and tools

4. AI for data analysis and decision making

• How AI supports business decisions
• Data quality and interpretation
• Practical examples from companies
• Limitations and risks of analysis

5 Ethical issues and regulation

• EU AI Act: overview and impact
• Data protection and data security
• Avoiding fairness, transparency and bias
• Compliance and obligations to provide evidence

6 AI in the world of work and future prospects

• Industry examples: Industry, healthcare, education
• New job profiles and skills requirements
• Opportunities and risks for companies
• Future scenarios and trends

7. practical exercises and transfer

• Analysing typical AI use cases
• Creation of an individual skills profile
• Hands-on: Trying out AI tools
• Discussion: Integration into own workflows

Participants gain a sound understanding of the key concepts and technologies of artificial intelligence. They will recognise how AI is already being used in companies and in everyday life and what opportunities and risks are associated with it. You will also learn about practical applications that you can transfer directly to your work context. Another added value lies in sensitising you to ethical and regulatory requirements so that you can use AI not only efficiently but also responsibly.

• You will understand the basics and how AI works.
• You will recognise opportunities and risks for your company.
• You will familiarise yourself with practical applications and tools.
• You will be prepared for regulatory requirements and ethical issues.

The seminar combines theoretical principles with practical exercises. Interactive presentations and illustrative examples provide an understandable foundation, while group work and discussions encourage dialogue between participants. In practical exercises with current AI tools, you will experience how theory can be translated into concrete applications. Transfer tasks ensure that you can apply what you have learnt directly to your professional practice.

This seminar is aimed at specialists and managers who want to acquire a basic understanding of artificial intelligence. It is particularly suitable for employees from the areas of IT, HR, marketing, production and management as well as for anyone who wants to prepare for the demands of digital transformation. No prior knowledge is required - the seminar is designed as an introduction and at the same time offers valuable impulses for the strategic use of AI in the company.

Would you like to organise the Artificial Intelligence: Basics, Applications and Future Prospects seminar at your company as an in-house training course? That is of course possible! We would be happy to create a customised offer that meets your content priorities, your specified time frame and other requirements. Please send your enquiry to: [email protected]