Generative AI for UX Designers
- Created By shambhvi
- Posted on April 3rd, 2025
- Overview
- Prerequisites
- Audience
- Curriculum
Description:
This 1-day course teaches UX designers how to use Generative AI (Gen AI) to enhance their workflows, speed up design tasks, and improve user experiences. Participants will learn to integrate AI into various stages of the UX design process—from ideation and prototyping to user research and usability testing. The course will focus on practical AI tools that directly impact design quality, user insights, and creativity.
Duration: 1 Day
Course Code: BDT424
Learning Objectives:
By the end of the training, participants will be able to:
- Understand how Generative AI can improve UX design:
- Speed up the ideation phase with AI
- Create efficient prototypes with AI assistance
- Enhance user research with AI tools.
- Improve usability testing with AI
- Personalize user experiences with AI
- Basic understanding of UX design principles.
- Familiarity with tools like Figma, Sketch, or Adobe XD.
- Interest in incorporating AI tools into the design process.
The target audience for this course includes UX designers, UI designers, product designers, design researchers, and UX researchers.
Course Outline:
1. Introduction to Generative AI in UX Design
- What is Generative AI?
- Brief overview of AI, machine learning, and generative models, with an emphasis on their relevance for UX design.
- Why Should UX Designers Embrace AI?
- How AI enhances creativity, workflow, and decision-making within the UX design process.
- Key areas where AI can be most effective: ideation, prototyping, research, testing, and user experience personalization.
2. AI for Ideation and Concept Design
- Leveraging AI for Design Inspiration
- Using tools like DALL·E, MidJourney, and Runway to generate design ideas, user interface concepts, and creative assets.
- AI-Driven Design Recommendations
- How AI can assist in generating color schemes, layouts, typography, and other visual components based on best practices.
3. AI-Powered Prototyping and Wireframing
- AI-Assisted Prototype Generation
- Tools like Uizard and Figma AI for auto-generating wireframes and responsive designs.
- How AI can speed up the prototyping process by suggesting UI elements and layouts based on user needs.
- AI for Layouts and Component Variations
- Using AI to quickly iterate on design elements like buttons, navigation menus, and page layouts
4. AI in User Research and Data Analysis
- AI-Driven User Research Insights
- How AI tools (e.g., Lookback, Hotjar) help collect, analyze, and interpret user behavior data.
- Using AI to identify trends, patterns, and common pain points in user feedback and analytics.
- AI for Sentiment Analysis
- Leveraging AI to analyze open-ended responses from user interviews, surveys, and feedback sessions.
5. AI for Usability Testing and Feedback Analysis
- AI-Enhanced Usability Testing
- How AI tools can simulate user interactions and provide predictive insights about potential usability issues.
- Tools like UsabilityHub and PlaybookUX for AI-assisted usability testing and heatmap generation.
- Using AI to Optimize User Interfaces
- Analyzing session recordings, heatmaps, and interaction data to identify areas for design improvement.
6. AI for Personalizing User Experiences
- Creating Dynamic, Personalized User Interfaces
- How AI can help deliver personalized experiences based on user behavior, preferences, and historical data.
- Implementing personalized content, adaptive layouts, and dynamic UI elements with AI tools.
Training material provided: Yes (Digital format)
The curriculum is empty
