AI in Experience Design
IDE Design Master Class for Professionals
Practical Skills for Creatives and Designers
Join us for a transformative learning experience to become more skilled in using AI. We will guide you through the foundations of generative AI, from understanding underlying principles to exploring the creative boundaries. Our session focuses on igniting your creativity to experiment with AI to get the most out of your usage.
Date
March 18 - 19 2025
Group size
8-16 participants
Location
Industrial Design Engineering,
TU Delft
Deadline
10 March 2025
Curriculum
This IDE Master Class is aimed at professionals who are interested in a deep dive into using generative AI and gaining more knowledge and a better skillset. The program is designed to provide a comprehensive understanding of generative AI in both theoretical and practical aspects. Specific topics within this masterclass include basics of generative AI, its technical foundations, practical application, exploring different types of AI; ChatGPT, Image AI, Video AI, and Coding AI, personal projects, and its ethical and societal impact. The masterclass focuses on a play and experiment mindset that can be used with different types of AI, including non-existing new versions. This provides lasting effect rather than a taught step-by-step approach. This course is open to beginners, as well as more advanced users.
Learning Objectives
During this Master Class, you will:
- Understand the basics of generative AI and its applications
- Develop practical skills and a play-mindset in using generative AI tools
- Understand the ethical considerations and societal impact of generative AI
Content
- Applications and impact in various fields
- Interactive sessions with AI, with time for personal case studies
- Tactics for usage of different types of AI, including: ChatGPT, Image AI, Video AI, and Coding AI
Speakers
Programme
Day 1
| 9:00 | Registration and welcome coffee |
| 9:30 | Introduction and overview Overview of the Master Class, key concepts, getting to know each other. |
| 10:00 | Basics of generative Ai and its technical foundations Learn about some of its history and the technical background. Key concepts are machine learning, neural networks, and deep learning. |
| 11:00 | Break |
| 11:30 | Get familiarized with different AI tools & different implementations Explore new and different AI tools with different assignments |
| 13:00 | Lunch at the 'Porceleyne Fles' |
| 14:00 | The play mindset Choose one AI tool and explore new bounds, become accustomed to the play mindset to explore different applications |
| 15:30 | Break |
| 16:00 | Group case study Apply newfound knowledge and learn from each other in a group case study |
| 17:00 | Wrap-up of the day A discussion on the learnings and process so far. And writing down specific learning goals. |
| 17:30 | End of the first day |
Day 2
| 9:30 | Ethics and societal impact An exploration and discussion on the ethics and societal impact |
| 10:30 | Exploring the limits of generative AI; make your own machine learning model Decide if you want to master the usage and bounds in generative AI or if you want to explore the technical way of working while developing your own machine learning model |
| 12:15 | Guest speaker |
| 13:00 | Lunch at the Faculty of Industrial Design Engineering |
| 14:00 | Personal project part one Bring a personal project to delve into during this time and to explore applications fitting existing function and work field. |
| 15:00 | Break |
| 15:30 | Personal project part two Continue working on the personal project, or a different one. |
| 15:30 | Personal project discussion In groups discuss the personal project and help each other reflect and build on the outcomes. |
| 17:00 | Closing remarks and certificates Reflection on the class and discussion on continuing the AI learning journey |
| 17:30 | Drinks and closing |
Practical Information
How to prepare?
Preparation for this master class includes creating accounts for different AI tools, a list will be provided, and to explore these sites a bit beforehand to become somewhat accustomed. The participant should bring their (personal) laptop to be able to use it during practical assignments. And the participants’ selection of a relevant case to bring to the course.
Costs Master Class
| € 950 | standard |
| € 850 | for members of BNO, KIVI IO, HumanFactorsNL |
| € 750 | for IDE alumni |
Courses are VAT-free
Lunch, drinks, material and book are included
Reduction
| € 100 | for each additional Master Class per organisation in 2025 |
| € 100 | if you register before the 1st of March 2025 |