AI Powered Mobile App Design (No-Code)
🚀 Course Title
AI-Powered Mobile App Design (No-Code / Vibe Coding)
Duration: 4 Weeks (1 Month)
Audience: College Students (Beginners to Intermediate)
Outcome: Design + Prototype + Launch-ready Mobile App using AI
🎯 Course Objective
By the end of the course, students will:
- Build a mobile app without coding
- Use AI tools to generate UI, UX, content & flows
- Create a portfolio-ready case study
- Understand modern AI design workflows (UX 3.0)
🧠 Core Tools (Industry Relevant)
Based on latest trends:
- Uizard → Wireframes from sketches/prompts
- Galileo AI → Generate UI screens from text
- Figma AI / Figma Make → Prompt → app prototype
- ChatGPT → UX writing, research, flows
- Google Stitch (new) → Prompt → UI + flow (Vibe design)
- Canva AI / Leonardo AI → UI assets & visuals
👉 Insight: AI now allows designing apps just by describing them in words
📅 WEEK 1 – AI + UX Foundations (Hands-on Start)
🎯 Goal: Understand UX + Start Designing with AI
Topics:
- What is UX/UI (quick crash course)
- Introduction to No-Code & Vibe Coding
- AI in UX (2026 workflow)
- Understanding Mobile App UX patterns
Practical:
- Prompt exercise:
- “Design a food delivery app for Chennai students”
- Generate:
- Personas (ChatGPT)
- User flows (ChatGPT)
Tools:
- ChatGPT
- FigJam / Miro
Assignment:
👉 Create:
- 1 Persona
- 1 User Journey
- 1 Problem Statement
📅 WEEK 2 – AI Wireframing & UI Generation
🎯 Goal: Turn ideas into app screens using AI
Topics:
- Wireframing basics
- AI → UI generation workflows
- Design patterns for mobile apps
Practical:
- Convert idea → wireframes using:
- Uizard (sketch → UI)
- Generate UI screens using:
- Galileo AI (text → UI screens)
Activities:
- “Draw on paper → scan → convert to UI”
- “Prompt → 5 screens app design”
Assignment:
👉 Create:
- 5 mobile screens (Home, Login, List, Detail, Profile)
📅 WEEK 3 – AI Prototyping & Interaction (No-Code App)
🎯 Goal: Build working app prototype (No coding)
Topics:
- Prototyping basics
- Micro interactions
- UX flows (multi-screen experience)
Practical:
- Use:
- Figma AI / Figma Make → Prompt → clickable prototype
- Create:
- Navigation flow
- Button interactions
- Onboarding experience
Advanced:
- AI UX writing:
- Microcopy (buttons, errors)
- AI usability feedback:
- Improve UI using prompts
Assignment:
👉 Build:
- Clickable mobile app prototype (10–12 screens)
📅 WEEK 4 – Build, Test & Portfolio (Real Product)
🎯 Goal: Make it real + portfolio-ready
Topics:
- UX case study creation
- AI usability testing
- Portfolio storytelling
Practical:
- Use AI for:
- UX writing (ChatGPT)
- Feedback (AI critique tools)
- Create:
- Case study (problem → solution)
Final Project:
👉 Build a full app:
Choose one:
- Food Delivery App
- Student Marketplace
- Fitness App
- Travel Planner
🎯 Final Deliverables
Students will complete:
✅ 1 Mobile App (AI-designed)
✅ 10–15 Screens
✅ Clickable Prototype
✅ UX Case Study
✅ Portfolio-ready project
🧪 Daily Class Structure (Important)
Each session:
- 20% Theory
- 80% Practical
- 1 mini task per day
💡 Unique “Vibe Coding” Activities
Make it fun & modern:
- 🔥 Prompt Battle
→ Who generates best UI using AI - 🎯 30-Min App Challenge
- 🤖 AI vs Human Design comparison
- 🧠 Reverse UX (improve AI-generated UI)
🧠 Skills Students Gain
- AI Prompting for Design
- Mobile UX Design
- No-Code App Building
- Rapid Prototyping
- Portfolio Creation