Welcome to an exciting journey into the present and future of the digital world!
The introduction of computers, the internet, and smartphones has already shown how the digital transformation is changing the way we live, work, and communicate to an enormous extent. In the current phase of digital transformation, one particularly exciting topic is taking center stage: artificial intelligence (AI). AI is becoming a fundamental technology in new industrial processes and is increasingly used across fields such as education, technology, medicine, and finance. Ideally, AI systems are designed to collaborate with humans and complement their skills rather than replace them. This collaborative approach aims to increase productivity while ensuring that technological progress benefits everyone. According to the European Commission, it is important that workers have a basic understanding of how AI works and of its potential benefits and limitations. This is the first prerequisite for humans to be in control of AI technology. Therefore, in this course, we will explore the fundamentals of AI, its applications, and its positive and negative impacts, enabling you to acquire the necessary knowledge and skills to work with AI systems effectively and critically.
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L0: Introduction to AI
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L1: Digitization
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L2: Algorithms
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L3: What is AI? What are AI systems?
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L4: Data
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L5: Machine learning - Supervised learning
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L6: Machine learning - unsupervised learning and reinforcement learning
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L7: Artificial Neural Networks and Deep Learning
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L8: Large Language Models
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L9: Generative AI
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L10: AI agents
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L11: AI Systems in the Research Workflow
