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AI & Digital Arts · MS elective · 3 credit hours · 16 sessions

Intro to Generative AI for Creatives

This foundational course introduces creative professionals to the rapidly evolving world of Generative AI. Designed for designers, writers, and multimedia artists, the curriculum covers the core technologies behind text-to-image, text-to-video, and large language models. Students will learn how to harness these tools for ideation, rapid prototyping, and asset creation while navigating the evolving landscape of copyright and creative ethics.

§ 01 By the end you can
  1. Understand the underlying mechanics of Generative Adversarial Networks (GANs) and Transformers
  2. Master advanced prompt engineering techniques for precise visual output
  3. Utilize GenAI for storyboarding, concepting, and rapid iteration
  4. Experiment with multi-modal AI (Text-to-Video, Text-to-Audio)
  5. Develop a personal ethical framework for the use of generative tools in commercial work
§ 02 Sixteen sessions

The whole semester.

  1. 01History & Evolution of Generative AI
  2. 02The Art of the Prompt: Syntax & Modifiers
  3. 03Text-to-Image: Midjourney & DALL-E
  4. 04Text-to-Image: Adobe Firefly & Commercial Safety
  5. 05Iterative Design: Variations & Seeds
  6. 06LLMs for Creative Writing & Ideation
  7. 07Concept Art & Mood Boarding
  8. 08 · MidtermMidterm Examination
  9. 09Generative Video: Runway & Pika Labs
  10. 10AI for Audio & Soundscapes
  11. 11Generative 3D Models & Assets
  12. 12AI in UI/UX Design Prototyping
  13. 13Post-Processing AI Outputs
  14. 14Ethics, Bias, and Copyright Law
  15. 15Collaborative AI Projects
  16. 16Final Portfolio Submission & Critique

Midterm around session 8. Final project briefed at session 8 or 9 and developed in stages until the juries.

Recommended reading
  1. Collaborating with AI: The Future of Creative Work by P. D. Smith
  2. Prompt Engineering for Generative AI by James Phoenix
  3. Superintelligence: Paths, Dangers, Strategies by Nick Bostrom
  4. Artificial Intelligence for Creatives by Dr. Parag Kulkarni
  5. Online Documentation: Midjourney User Guide & OpenAI Research Papers
More in AI & Digital Arts
Advanced AI Techniques for Creative PracticeThis capstone-level technical course is for students who have mastered basic prompting and wish to push the engine to its limits.
AI as Co-CreatorThis course challenges the "Man vs. Machine" narrative, proposing instead a symbiotic relationship where Artificial Intelligence acts as a collaborator.
AI as Creative PartnerThis interdisciplinary studio course reframes Artificial Intelligence from a "tool" to a "collaborator." It focuses on the psychological and workflow dynamics of working with a non-human intelligence.
AI, Code, & Art (AI & Art track)Designed for the technical artist, this advanced track dives under the hood of generative tools. While other courses focus on using interface-based tools (like Midjourney), this course focuses on programming them.
AI, Design, and Immersive ExperiencesThis capstone immersive course merges Virtual Reality (VR) with Artificial Intelligence. Students will learn to create "Smart Environments"—virtual worlds populated by AI agents that can converse, navigate, and react to the user.
AI-Driven Fashion DesignThis specialized course explores the intersection of high fashion and artificial intelligence. Students will learn to use generative tools to predict trends, design textiles, and visualize garments without the need for physical waste.