Free
0 Seat
This comprehensive introductory course on generative artificial intelligence is designed for students without a technical background. The course aims to provide a solid foundation in the principles, techniques, and applications of generative AI. Concepts will be presented in a detailed and accessible manner, ensuring understanding for all students. Through step-by-step examples and organized content, you will gain a strong understanding of generative AI and its real-world implications.
- Non-technical, but informative introduction to generative artificial intelligence, differentiating generative models from discriminative models, examples of generative AI applications in various domains
- Important concepts of generative AI: Types of Generative Models (VAEs, GANs, Autoregressive Models), Pros and Cons of Different Generative Models,
- Large language models: basics and its applications, pre-training and fine-tuning of LLMs
- Applications of Generative AI in Business: Data Generation and Augmentation; Content Generation and Personalization; Design and Creativity
- Advanced ChatGPT application: Data Extraction, Transformations, Sentiment Analysis, Super-Prompts
- Ethical and legal considerations in generative AI: biases and fairness concerns, intellectual property rights and plagiarism issues, privacy issues, ensuring responsible and ethical use of generative models
Top speaker
- Amir Tabakovic – Strategist, Innovator, Investor in ML Technology, Chair of Expert Group Data Privacy and AI at Mobey Forum, Guest lecturer at ICEMD and ESADE
Subject Area Co-ordinator
- Prof. Dr. Michael Burkert, University of Fribourg
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