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CT380

AI-Assisted Design

Fall 2026

Section

BL1/BL2

Date & Time

Monday, 6:30 PM–8:20 PM (in person), 2 hours of asynchronous online learning

Professors

C.J. Yeh, Christie Shin

Classroom

D523

Pre-requisite(s)

None

Credits/Hours

3 credits; 2 lecture and 2 lab hours

School

School of Art & Design

Major

Advertising & Digital Design

Minor

AI-Assisted Design, Creative Technology & Design

Office Hours

Monday, 1:00–3:00 PM; Wednesday, 2:00–3:00 PM; Thursday, 5:00–6:00 PM

Office at FIT

D317 (email to schedule a remote meeting)
chinjuz_yeh@fitnyc.edu
christie_shin@fitnyc.edu

Course Description

This course introduces the use of artificial intelligence (AI) in visual art and design. Topics include AI ethics, copyright considerations, social impact, generative design, and AI-assisted creative workflows. Students will explore how AI tools can facilitate creative processes such as content generation, automating design tasks, streamlining workflows, and making data-driven design decisions. Each session includes hands-on exercises with AI tools. A compilation of students’ workshop mini-projects and exercises will be evaluated for the final grade.

Course Goals and Objectives

This course aims to:

  • Provide a survey of artificial intelligence (AI) models used in design.

  • Introduce industry-standard AI tools and their applications.

  • Develop an understanding of the capabilities and potential of AI in the creative field.

  • Guide students in practical use through hands-on workshops and hybrid online learning materials.

  • Encourage students to apply AI technologies to their personal study and career goals.

Suggested AI Tools:

LLMs

  • ChatGPT

  • Gemini

  • Claude

Creative AI Tools

  • Google AI Studio

  • Reve

  • ElevenLabs

  • Google Flow

  • Figma Weave

  • Flora

  • Adobe Firefly

Note: The software list reflects technologies available at the time this syllabus was written and will be updated each semester to reflect industry developments.

Student Learning Outcomes

Upon successful completion of the course, students will be able to:

  1. Understand the principles of AI technology and its applications in visual art and design.

  2. Analyze the ethical, copyright, and social implications of AI tools.

  3. Implement AI-assisted design workflows.

  4. Use machine learning, natural language processing, and computer vision technologies to develop a personalized AI-powered creative process.

  5. Apply AI to address design challenges effectively.

  6. Make informed, data-driven decisions in art and design practices.

Projects & Evaluation

  1. AI-Assisted Design Challenge — 30 points

  2. Final Project — 30 points

  3. Weekly In-Class & Online Learning Activities — 20 points

  4. Professionalism — 20 points

    • Attendance and punctuality

    • Active participation

    • Professional engagement and responsibility

Please Note

  • Week A: In-person class

  • Week B: Self-paced online learning

  • All projects must be submitted no later than the last day of class to receive a final grade.

Grading Scale

A/A-: 90% or above (A-: 90–94, A: 95–100)

B+/B/B-: 75–89% (B+: 85–89, B: 80–84, B-: 75–79)

C+/C/C-: 60–74% (C+: 70–74, C: 65–69, C-: 60–64)

D: 51–59%

F: 50% or below

Weekly Outline

Note: The weekly schedule is subject to change based on pedagogical needs and guest speaker availability.

Week 1A: 8/31/26

  • Course introduction

  • Course projects, expectations, and grading

  • Face-to-face instruction (2 credits)

  • Online self-paced learning (1 credit)

  • Set up Slack, Google Drive, and FigJam

  • Lecture: AI Integration and Workflow (CML)

Week 1B: Online Self-Paced Learning

Gemini Image Generation Exploration

Visual Prompt Exercise 1

  • Use visual prompt templates to experiment with composition and camera angles.

  • Post your best creations to the class FigJam.

  • Write a brief reflection on your learning experience.

Labor Day — 9/7/26 (College Closed)
Week 2A: 9/14/26

  • Guest Speaker: TBA, Reve (Virtual + In Person)

  • Topic: Image generation and editing with Reve

  • In-Class Quick-Fire Challenge: Modern Art Triptych

Week 2B: Online Self-Paced Learning

Reve Exploration

Visual Prompt Exercise 2

  • Experiment with different artistic and visual styles.

  • Post your best creations to the class FigJam.

  • Write a brief reflection on your learning experience.

Yom Kippur — 9/21/26 (College Closed)
Week 3A: 9/28/26

  • Guest Speaker: Kavin Kapoor

  • Topic: Prompt engineering fundamentals, character sheet development, and ethical AI practices.

Week 3B: Online Self-Paced Learning

Gemini Image Generation Exploration

Visual Prompt Exercise 3

  • Experiment with different lighting and mood.

  • Post your best creations to the class FigJam.

  • Write a brief reflection on your learning experience.

Week 4A: 10/5/26

  • Guest Speaker: TBA, Reve (Virtual + In Person)

  • Topic: Reve as a visual design tool (typography, layout, etc.)

  • In-Class Quick-Fire Challenge: Concert Poster & Spotify Cover

Week 4B: Online Self-Paced Learning

Reve Exploration

Visual Prompt Exercise 4

  • Experiment with special effects and visual details.

  • Post your best creations to the class FigJam.

  • Write a brief reflection on your learning experience.

Week 5A: 10/12/26

AI-Assisted Design Challenge

  • Project begins in class.

  • Due: EOD Tuesday, 10/13/26

CJ and Christie will select finalists on Tuesday.

Projects will be submitted to Reve for judging on Wednesday, 10/14/26.

Week 5B: Online Self-Paced Learning

Continue working on the AI-Assisted Design Challenge.

Week 6A: 10/19/26

  • Guest Speaker: Julio Soler, MEDIA ET AL

  • Topic: Overview of generative AI video models, professional case studies, and a hands-on Flora demonstration.

  • In-Class Activity: Hands-on exercise using Flora.

Week 6B: Online Self-Paced Learning

Flora Exploration

Visual Prompt Exercise 5

  • Experiment with camera techniques and cinematography.

  • Post your best creations to the class FigJam.

  • Write a brief reflection on your learning experience.

Week 7A: 10/26/26

  • Guest Speaker: Julio Soler, MEDIA ET AL

  • Topic: Advanced video generation workflows with Flora & Figma Weave

  • In-Class Activity: Hands-on exercise using Flora.

Week 7B:  Online Self-Paced Learning

Figma Weave Exploration

Visual Prompt Exercise 6

  • Experiment with editing and cinematic techniques.

  • Add audio to your project.

  • Post your best creations to the class FigJam.

  • Write a brief reflection on your learning experience.

Mandatory Attendance — 10/29/26 (12 to 2 PM)

  • CT&D Event: Architecting the Future of Creative Intelligence

Week 8A: 11/2/26

  • Guest Speaker: Roger Sho Gehrmann

  • Topic: Introduction to Sonic Branding, ElevenLabs

Week 8B: Online Self-Paced Learning

ElevenLabs Exploration

Voice Prompt Exercise

  • Experiment with voice generation and editing.

  • Post your best creations to the class FigJam.

  • Write a brief reflection on your learning experience.

Week 9A: 11/9/26

  • Guest Speaker: TBA, Google Flow

  • Topic: AI Filmmaking

Week 9B: Online Self-Paced Learning

Flow + ElevenLabs Exploration

Script Prompting Exercise

  • Experiment with different system prompts for short script generation.

  • Create a short video using your own script.

  • Post your best creations to the class FigJam.

  • Write a brief reflection on your learning experience.

Week 10A: 11/16/26

  • [Tentative Guest speaker]: Kavin Kapoor

    Topic: AI Filmmaking with Flow

Week 10B: Online Self-Paced Learning

  • Flow + ElevenLabs Exploration

Week 11A: 11/23/26

  • Guest Speaker: Katie Luo

  • Topic: Film Production

  • Final Project Announcement

  • In-Class Workshop: Final Project Proposal

Week 11B: Online Self-Paced Learning

  • Final Project Proposal

  • Impactful Self-Introduction

  • Job Interviews Without Interviewers

Week 12A: 11/30/26

  • Final Presentation Workshop

Week 12B: Online Self-Paced Learning

  • Final Presentation Preparation

Week 13A: 12/7/26

  • Final Presentations I

Week 13B: Online Self-Paced Learning

  • Final Presentation Preparation

Week 14A: 12/14/26

  • Final Presentations II

Week 14B: Online Self-Paced Learning

  • Presentation reflections and key takeaways

Week 15A: 12/21/26

  • No in-person class

Week 15B: Online Self-Paced Learning - 12/21/26

  • Final file submission for grading

Creative Technology & Design (CT&D) Attendance Policy

Attendance is not optional. If you are going to miss a class, you must contact me via email ASAP. Due to the quantity of material covered in the course, I will not be able to spend class time explaining missed assignments or redo lectures. If a class is missed, it is your responsibility to get information regarding missed assignments and lectures from one of your classmates.

  1. Students are required to attend all classes, be on time, and remain for the entire class.

  2. Students who miss three classes for classes meeting once a week or four classes for classes meeting twice a week will receive a grade of “F.”

  3. The student who arrives 10 minutes after the start of the class will be considered late.

  4. Two late occurrences = one absence

  5. A student who arrives over 30 minutes late or not returning from the break will be considered absent from the class.

  6. Working on projects for another class or using digital devices for socializing (texting, social media…etc.) or gaming during class time will be recorded as an absence.

  7. An excused absence is still recorded as an absence. The difference is an excused absence won’t impact your grade for professionalism and class participation.

Additional Course Information:
Department Policy on Plagiarism

Plagiarism and other forms of academic deception are unacceptable. Each instance of plagiarism is distinct. A plagiarism violation is an automatic justification for an “F” on that assignment and/or an “F” for the course. A student found in violation of FIT’s Code of Conduct and deemed to receive an “F” for a course may not withdraw from the course prior to final grade assignments.

Use of AI tools

It is permissible to utilize AI tools in your creative process. However, you must identify which AI tool is being used at each stage of the process. You are required to fact-check AI output and avoid stereotyping and bias in your work. Finally, you are responsible for ensuring that the final creation is unique, ownable, and without any copyright issues.

Fact-checking AI output

AI tools are not infallible. They often generate incorrect or misleading information. It is your responsibility to fact-check any AI output before using it in your work. This includes checking the source of the information, evaluating the quality of the information, and considering the context in which the information was generated.

Avoiding stereotyping and bias

AI tools can be trained on data that contains stereotypes and biases. This can lead to AI output that is also biased. It is your responsibility to avoid the potential for bias in AI output. You should also be mindful of your own biases when using AI tools and take steps to mitigate them.

Ensuring the uniqueness and ownership of your work

You are responsible for ensuring that the final creation of your work is unique and ownable. This means that you must not plagiarize the work of others, including submitting works done solely by AI tools without meaningful improvement and input from you.

Penalty for violation

Violation of this policy may result in a grade reduction or suspension from the class.