UI/UX Design
UI/UX With AI Advanced Program
A complete advanced UI/UX design program that blends product thinking, UX research, visual design, design systems, prototyping, AI-powered workflows, portfolio projects, and placement readiness for 2026 design careers.
6 Months
Program Duration
118
Structured Lessons
Intermediate
Difficulty Level
English, Tamil
Language
Course Overview
Build Job-Ready Skills With A Practical Learning Path
This program is designed for students and working professionals who want structured training, guided practice, and portfolio outcomes in UI/UX With AI Advanced Program.
01
Learn concepts through mentor-led sessions
02
Practice with assignments and guided labs
03
Complete projects for your portfolio
What You Will Learn
Build complete UX workflows using AI-assisted research, ideation, wireframing, prototyping, and testing.
Design modern UI screens, responsive layouts, design systems, dashboards, websites, and mobile app interfaces.
Use ChatGPT and Claude for UX writing, research summaries, personas, flows, case studies, and design iteration.
Create portfolio-ready UI/UX projects with real-world scenarios and AI-integrated workflows.
Prepare professional case studies and present design decisions with confidence.
Program Highlights
Mentor-led training with practical feedback
Portfolio projects for students and professionals
Course completion certificate
Curriculum
- UX vs UI vs Product Design
- Modern UX design process
- Role of UX in business
- Problem statements and product thinking
- User and business goal definition
- AI-assisted problem framing
- Product idea validation with AI
- User psychology, mental models, cognitive biases
- ChatGPT setup and prompt basics for designers
- Qualitative vs quantitative research
- Choosing the right research method
- User interviews, surveys, and observational research
- AI-generated interview questions
- Instant survey creation using AI
- AI-assisted competitor analysis
- Research pattern identification
- Pain points and opportunity mapping
- AI summaries, insights, and research reports
- Empathy mapping and behavioral analysis
- Goal-based and scenario-based personas
- AI persona generation and validation
- Generating multiple user types
- User stories and Jobs-To-Be-Done
- AI-based idea generation
- Feature expansion and prioritization using AI
- Information architecture and content structuring
- Hierarchy and sitemap creation
- Navigation patterns and best practices
- Task flows, user flows, and decision flows
- AI-generated IA and user flows
- Navigation optimization
- Card sorting and flow testing
- Low, mid, and high-fidelity wireframing
- Usability heuristics and accessibility basics
- Layout structuring principles
- Figma for UX design
- Idea to wireframe using AI
- Generating multiple layout options
- Improving UX using AI suggestions
- Interactive prototypes and interaction flows
- Usability test planning
- Conducting tests and collecting feedback
- AI-based feedback analysis
- Identifying usability issues
- Predicting user behavior
- Iterating designs using AI insight
- UX writing for interfaces
- Clarity, tone, and content hierarchy
- Microcopy for CTAs, errors, and empty states
- Content strategy for digital products
- Generating UX copy with ChatGPT
- Readability improvement and conversion-focused writing
- UX documentation and research reports
- Flow documentation and design decisions
- Case study structure: problem, process, solution, outcome
- AI-assisted case study writing
- Storytelling enhancement
- Portfolio structure and project presentation
- End-to-end UX project
- Problem identification
- AI-assisted research
- Personas and user flows
- Wireframes and prototype
- Portfolio-ready case study
- Real-world AI-integrated workflow
- Introduction to UI Design
- UI vs UX vs Product Design
- Evolution of modern UI trends for 2026
- Visual hierarchy, balance, contrast, and alignment
- Whitespace and spacing systems
- Typography systems and accessibility
- Color theory, psychology, and palettes
- AI moodboard and style exploration with ChatGPT and Midjourney
- Consistency, layout principles, and spacing systems
- 8pt grid and responsive grids
- Buttons, inputs, cards, variants, and states
- Reusable components in Figma
- Design systems, tokens, and style guides
- AI-generated UI components
- Maintaining consistency with AI prompts
- UI states: hover, active, disabled
- Feedback and system response
- Micro-interactions and motion principles
- Clickable prototypes and interaction flows
- Advanced prototyping in Figma
- Auto Layout mastery for responsive components
- Android and iOS UI patterns
- AI-generated UI layouts and variations
- Mobile app UI patterns and navigation systems
- Website and landing page UI
- Conversion-focused landing pages and CTA psychology
- SaaS dashboard design and data visualization basics
- Complex UI structuring
- Responsive and mobile-first design
- Dark mode, theming, and accessibility
- AI-assisted product screen generation and optimization
- Attention-driven UI psychology
- Visual decision making
- CTA optimization and engagement layout
- Reducing user friction
- WCAG basics and inclusive design
- Visual testing and A/B testing basics
- AI-based UI improvement and conversion suggestions
- Mobile app UI project
- Website UI project
- Dashboard UI project
- Redesign project
- Case study creation and visual storytelling
- Behance or portfolio setup
- AI-assisted case study and portfolio content optimization
- AI-powered UI generation
- Wireframe creation using prompts
- UX idea brainstorming
- Fast design iterations
- Claude for microcopy, landing page content, onboarding flows, and messages
- Prompt engineering for designers
- Research to prompt to design to refine workflow
- AI-assisted client workflow and faster delivery
Real-World Projects
AI-assisted UX research and product discovery project.
Mobile app UI design project.
Website or landing page UI project.
SaaS dashboard UI project.
Complete AI UX workflow capstone with prototype and case study.
Requirements
Basic computer knowledge and interest in digital product design.
No prior UI/UX experience required; beginners can start from fundamentals.
Laptop or desktop with internet access.
Figma account and access to AI tools such as ChatGPT and Claude.
Certification And Career Support
Ziawin Elite course completion certificate.
Portfolio-ready capstone project and case study guidance.
Design workflow documentation support.
Resume and portfolio preparation for UI/UX roles.
Case study presentation guidance.
Mock interview and design review support.
Placement support for suitable openings and opportunities.
Key Features
Completion Certificate
Placement Support
Placement Support Certificate
7 Days Refund Policy
Expert Instructors
One-to-One Session
What Will You Learn?
Accelerate your learning journey with our comprehensive course designed to equip you with essential skills and practical knowledge in UI/UX With AI Advanced Program.
- Build complete UX workflows using AI-assisted research, ideation, wireframing, prototyping, and testing.
- Design modern UI screens, responsive layouts, design systems, dashboards, websites, and mobile app interfaces.
- Use ChatGPT and Claude for UX writing, research summaries, personas, flows, case studies, and design iteration.
- Create portfolio-ready UI/UX projects with real-world scenarios and AI-integrated workflows.
- Prepare professional case studies and present design decisions with confidence.
Requirements
Before getting started with this course, it's beneficial to have the following:
- Basic computer knowledge and interest in digital product design.
- No prior UI/UX experience required; beginners can start from fundamentals.
- Laptop or desktop with internet access.
- Figma account and access to AI tools such as ChatGPT and Claude.
Course Completion
Ziawin Elite course completion certificate.
Portfolio-ready capstone project and case study guidance.
Design workflow documentation support.
Curriculum
- UX vs UI vs Product Design
- Modern UX design process
- Role of UX in business
- Problem statements and product thinking
- User and business goal definition
- AI-assisted problem framing
- Product idea validation with AI
- User psychology, mental models, cognitive biases
- ChatGPT setup and prompt basics for designers
- Qualitative vs quantitative research
- Choosing the right research method
- User interviews, surveys, and observational research
- AI-generated interview questions
- Instant survey creation using AI
- AI-assisted competitor analysis
- Research pattern identification
- Pain points and opportunity mapping
- AI summaries, insights, and research reports
- Introduction to UI Design
- UI vs UX vs Product Design
- Evolution of modern UI trends for 2026
- Visual hierarchy, balance, contrast, and alignment
- Whitespace and spacing systems
- Typography systems and accessibility
- Color theory, psychology, and palettes
- AI moodboard and style exploration with ChatGPT and Midjourney
- Mobile app UI patterns and navigation systems
- Website and landing page UI
- Conversion-focused landing pages and CTA psychology
- SaaS dashboard design and data visualization basics
- Complex UI structuring
- Responsive and mobile-first design
- Dark mode, theming, and accessibility
- AI-assisted product screen generation and optimization
- AI-powered UI generation
- Wireframe creation using prompts
- UX idea brainstorming
- Fast design iterations
- Claude for microcopy, landing page content, onboarding flows, and messages
- Prompt engineering for designers
- Research to prompt to design to refine workflow
- AI-assisted client workflow and faster delivery