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.
What you can expect
■ 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
Course location: iimt – University of Fribourg
When: 18th – 19th January 2024
Tuition Fee: CHF 1’400.-
Duration: 2 days
The iimt experience
International Environment & Networking
Leading experts offer the possibility to enhance the participants networks on 3 levels: students, lecturers, and the institute with the iimt alumni network.
A unique learning experience
Interactive teaching methods combine theoretical know-how and practical approaches.
Upon completion, each participant will receive a certificate for all the completed modules.
- 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