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AI for UI/UX and Creative Workflows

Design Smarter, Create Faster—Harness AI for Innovation in UX and Creative Work.

Skills you will gain:

AI for UI/UX and Creative Workflows is a next-gen training program tailored for designers, content creators, and innovation teams. It demystifies AI tools and frameworks that accelerate ideation, enhance usability testing, personalize user experiences, and automate creative tasks. From Figma automation and user research to content generation and branding—this course redefines how AI can support and supercharge the design and creative lifecycle.

Aim: To empower designers, UI/UX professionals, and creatives with the skills to integrate Artificial Intelligence into their design thinking, user research, prototyping, and creative content production workflows.

Program Objectives:

  • To upskill designers and creatives in using AI as a collaborative tool

  • To streamline UX and content workflows for higher impact and efficiency

  • To introduce tools and practices for ethical, inclusive, AI-powered design

  • To prepare professionals for the future of design in the age of automation

What you will learn?

Week 1: Foundations of AI in Design and UX

Module 1: Rethinking Design with AI

  • Chapter 1.1: How AI is Transforming Creative Industries

  • Chapter 1.2: Key AI Technologies for Designers (NLP, CV, GenAI)

  • Chapter 1.3: Design Thinking Meets Machine Intelligence

  • Chapter 1.4: Ethical Considerations in AI-Driven Design

Module 2: Core Tools for AI-Enhanced UI/UX

  • Chapter 2.1: Generative AI in Design (Uizard, Galileo, Figma AI)

  • Chapter 2.2: Wireframing and Auto-Mockup Tools

  • Chapter 2.3: Voice, Chat, and Multimodal UI with AI

  • Chapter 2.4: Real-Time AI Co-Design and Prompting


Week 2: Prototyping, Personalization, and User Insights

Module 3: Intelligent Interfaces and Interaction Design

  • Chapter 3.1: Chatbots, Smart Agents, and Voice UI

  • Chapter 3.2: Prototyping User-Centered AI Features

  • Chapter 3.3: AI-Generated UI Components and Layouts

  • Chapter 3.4: Responsive and Context-Aware Interfaces

Module 4: Data, Personalization, and Behavioral Design

  • Chapter 4.1: Using AI for UX Research and Testing

  • Chapter 4.2: Personalization Engines for Dynamic UX

  • Chapter 4.3: Heatmaps, Session Replay, and Predictive Analytics

  • Chapter 4.4: A/B Testing with AI Optimization


Week 3: Creative Automation and Deployment

Module 5: Design Automation and Branding Workflows

  • Chapter 5.1: Brand Design with Generative Models

  • Chapter 5.2: Copywriting, Image Generation, and Storyboarding with AI

  • Chapter 5.3: Visual Consistency and Design System Automation

  • Chapter 5.4: Creative Coding for Designers (AI + Frontend)

Module 6: Final Project and Industry Applications

  • Chapter 6.1: Real-World Case Studies: AI in UX at Scale

  • Chapter 6.2: Building and Presenting a Smart UI Prototype

  • Chapter 6.3: Tools Stack and Workflow Documentation

  • Chapter 6.4: Career Paths in AI-Enhanced Design

Intended For :

  • UI/UX designers, graphic designers, creative professionals, product managers

  • Startup teams, brand strategists, and design students

  • No programming experience required; design experience preferred

Career Supporting Skills