Module 3. Artificial Intelligence

Artificial Intelligence is transforming modern production through intelligent automation and data-driven decision-making. This module introduces the basics of AI, including key concepts, Machine Learning and Deep Learning foundations, and the central role of data. It also explores the benefits and risks of AI in production, ethical considerations, and practical use cases in manufacturing.
By combining fundamental knowledge with real-world examples, the course prepares learners to understand, evaluate, and responsibly apply AI in industrial contexts.

Section 1: Introduction to Artificial Intelligence – Learn the basics of artificial intelligence, what types of AI exist, what differentiates AI from related technologies and where you might already encounter AI.

Section 2: Machine Learning and Deep Learning: Foundations – Explore the foundations of Machine Learning and Depp Learning. Discover how Machine Learning Models learn from Data and what challenges may arise during this process.

Section 3: The Role of Data in AI - The data used to train an AI model has a key influence on the performance of the AI model. In this chapter, you will discover what distinguishes good data from bad data and learn about the data cycle of AI models.

Section 4: Benefits and Risks of AI in Production - AI has the potential to revolutionise production. This chapter compares the benefits with the risks.

Section 5: Ethics and Responsible Use of AI - Delve into the fundamental ethical principles of AI and learn more about the social responsibility of future employees and developers.

Section 6: Practical Use Cases of AI in Manufacturing - Find out where AI is already being used, how AI systems can support everyday work, and what organisational and technical requirements are necessary.