During Generating Images with Machine Learning we’ll explore how text-to-images generative models help define new visual languages but also how they alter our perception of reality as a society. As a group, we will take a critical look at Machine Learning from the inside by making its core concepts & techniques more explicit and discussing its ethical dilemmas with real-world examples.

Throughout a six-week program, participants will be equipped with creative and critical tools that allow them to develop their own projects and create alternative, inclusive visual narratives.

You can expect a lively, activity-driven learning environment, a multidisciplinary peer group, and plenty of in-class demos. No previous experience of AI or computer programming is necessary.

• Learn about prompt engineering for generative imagery
• Apply advanced techniques for visual compositing
• Discuss ethical dilemmas and develop critical thinking on the field
• Explore various models and learn how to train your own

Week 1 – Enter the Latent Space

Learn about the history of AI & Machine Learning, understand the underlying technical concepts, discover the application fields to get inspired and generate your first images.

Week 2 – Fundamentals to Image Generation

Improve your prompt engineering technique for image generation. Explore various models to experiment with a wide range of generated aesthetics.

Week 3 – Image-to-image Translation

Gain more control over your workflow and final composition. Explore the potential of neural style transfer and other techniques for concept art & visual prototyping.

Week 4 – Machine Learning & Society

Investigate about the ethical dilemmas related to generative models. Debate with your peers and expand your critical thinking on the field.

Week 5 – Model Training

Learn how to train your own model to gain more control over your generative process and avoid bias.

Week 6 – Personal projects

Share your creations with your peers and reflect on progress as we discover each other's imagery.

Aurélien Krieger is an art producer, engineer and educator. Co-founder at obsolete.studio. His main focus is to make creative technologies explicit and legible to help people develop their techno-creative skills. He also facilitates collaborative art projects exploring contemporary issues of humans, nature and technology.

Index scholarships are designed to benefit underrepresented groups, BIPOC members of our community, and those for whom the class price is not accessible. These need-based scholarships will go to the candidates who best demonstrate why they should be chosen for the free spot to our class based on the following criteria:

• Belong to groups that are traditionally underrepresented in the graphic design and creative industries
• Do not have jobs that would pay for these courses as professional development
• Cannot independently afford the class at list price
• Share our value of intentional community

The number of selected applicants chosen is subject to the discretion of Index and the instructor, but every course will select at least one. Apply for a scholarship here. Applications close October 22nd.

We get that things come up, but we rely on headcounts in our programs to survive as a business. If you request a refund...

More than 4 weeks before class begins → 100% refund
More than 2 weeks before class begins → 50% refund
Fewer than 2 weeks before class begins → No refund

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