This course will cover fundamental concepts, advanced techniques, and hands-on projects, equipping participants with the skills to develop and evaluate generative models.

Key topics

• Overview of AI and the significance of Generative AI
• In-depth exploration of Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs)
• Advanced generative techniques, including diffusion models and transformer architectures
• Applications in art, music, and natural language processing
• Ethical considerations and future trends in Generative AI

Participants will engage in hands-on coding sessions using popular frameworks like TensorFlow and PyTorch, culminating in a capstone project that allows them to apply their learning.

This course is ideal for those with a basic understanding of Python and machine learning concepts who are eager to explore the creative possibilities of AI. Join us to unlock the potential of Generative AI!

Key deliverables

• Daily assignments to reinforce theoretical and practical understanding
• Final project to demonstrate the practical application of robust and stochastic optimisation techniques
• Case studies to connect course concepts to real-world problems
• Practical information

Tuition fee: € 4.995

Format: This course consists of 8 full days of study.

Participants are expected to work at home for 4 to 8 hours per week

Group size: 8–18 participants

Registration deadline: 3 October 2025

(The organisation has the right to cancel or postpone the course by 3 October 2025 if there are fewer than 8 admissions).

For more information about this course, please contact: [email protected]

This course is part of the Business Analytics for Industry programme.

• Data Science in Python
• Mathematische Optimalisatie met Python