AI for UI/UX and Creative Workflows
Design Smarter, Create Faster—Harness AI for Innovation in UX and Creative Work.
Early access to e-LMS included
About This Course
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
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To upskill designers and creatives in using AI as a collaborative tool
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To streamline UX and content workflows for higher impact and efficiency
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To introduce tools and practices for ethical, inclusive, AI-powered design
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To prepare professionals for the future of design in the age of automation
Program Structure
Week 1: Foundations of AI in Design and UX
Module 1: Rethinking Design with AI
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Chapter 1.1: How AI is Transforming Creative Industries
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Chapter 1.2: Key AI Technologies for Designers (NLP, CV, GenAI)
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Chapter 1.3: Design Thinking Meets Machine Intelligence
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Chapter 1.4: Ethical Considerations in AI-Driven Design
Module 2: Core Tools for AI-Enhanced UI/UX
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Chapter 2.1: Generative AI in Design (Uizard, Galileo, Figma AI)
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Chapter 2.2: Wireframing and Auto-Mockup Tools
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Chapter 2.3: Voice, Chat, and Multimodal UI with AI
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Chapter 2.4: Real-Time AI Co-Design and Prompting
Week 2: Prototyping, Personalization, and User Insights
Module 3: Intelligent Interfaces and Interaction Design
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Chapter 3.1: Chatbots, Smart Agents, and Voice UI
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Chapter 3.2: Prototyping User-Centered AI Features
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Chapter 3.3: AI-Generated UI Components and Layouts
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Chapter 3.4: Responsive and Context-Aware Interfaces
Module 4: Data, Personalization, and Behavioral Design
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Chapter 4.1: Using AI for UX Research and Testing
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Chapter 4.2: Personalization Engines for Dynamic UX
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Chapter 4.3: Heatmaps, Session Replay, and Predictive Analytics
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Chapter 4.4: A/B Testing with AI Optimization
Week 3: Creative Automation and Deployment
Module 5: Design Automation and Branding Workflows
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Chapter 5.1: Brand Design with Generative Models
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Chapter 5.2: Copywriting, Image Generation, and Storyboarding with AI
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Chapter 5.3: Visual Consistency and Design System Automation
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Chapter 5.4: Creative Coding for Designers (AI + Frontend)
Module 6: Final Project and Industry Applications
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Chapter 6.1: Real-World Case Studies: AI in UX at Scale
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Chapter 6.2: Building and Presenting a Smart UI Prototype
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Chapter 6.3: Tools Stack and Workflow Documentation
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Chapter 6.4: Career Paths in AI-Enhanced Design
Who Should Enrol?
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UI/UX designers, graphic designers, creative professionals, product managers
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Startup teams, brand strategists, and design students
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No programming experience required; design experience preferred
Program Outcomes
Participants will:
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Build intuitive and user-centered designs with AI support
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Rapidly prototype, test, and iterate with AI-assisted tools
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Automate key creative and content workflows
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Leverage AI to improve personalization, UX writing, and visual storytelling
Fee Structure
Discounted: ₹21499 | $249
We accept 20+ global currencies. View list →
What You’ll Gain
- Full access to e-LMS
- Real-world dry lab projects
- 1:1 project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
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