Program Description

This programme aims to develop proficiency in AI Enabled User Interface (UI) and User Experience (UX) Design, focusing on creating human-centered digital products, aided with AI led technologies, tools and platforms. Participants will learn to integrate design thinking, user research, prototyping, AI Approaches and AI led usability testing to build intuitive and engaging digital experiences.

Key Highlights

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On successful completion of the programme, you will receive a Certificate from IITM Pravartak and acquire competencies in product strategy, user-centered design, and innovation management, enabling advancement into senior product roles.

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Optional 3-Day Campus Immersion at IITM Pravartak for collaborative, hands-on learning

Learning Format

Online

Duration

28 Weeks
Weekend live sessions (Saturday and Sunday)

Certified by

IITM Pravartak Technologies Foundation
Technology Innovation Hub (TIH) of IIT Madras and
Futurense

Program Fee

INR 1,25,000 + 18% GST

Education Qualification

Bachelor’s degree in Engineering, Design, Architecture, marketing, product or any related discipline. Professionals with experience or interest in product design, user research, or digital experience design are eligible.

Suggested Prerequisites

Basic knowledge of digital design tools and a foundational understanding of user behavior.

Teaching Hours

140 + Hours

Lead Faculty

Core Faculty and Industry Experts

Learning Module

Define user journeys, user flows, touchpoints
AI in user journey creation
Personas & empathy maps

Understanding visual appeal
Typography, color theory, visual harmony, spacing, alignment

Lo-fi to hi-fi prototyping
Design systems
Rapid prototyping
Component libraries

 

Heuristics, A/B testing, usability testing, feedback analysis
Role of AI in testing

 

AI-driven design generation
Transforming prompts into designs, screen generation with AI

 

Effective prompt crafting for layout, flow, tone
Scenario-driven AI prompting

Break down creative tasks into steps
Teach AI design steps, automate with no-code tools

AI's role in context-driven design
RAG (Retrieve & Generate) workflows, dynamic content generation

Break down tasks into agentic steps
Personalizing user experience with AI-driven steps

Track design feedback using AI
Refining UI based on user data and analytics

Onserving Consumer Psychology
Ethical considerations in UX design
Designing for accessibility and inclusivity

AI's role in generating and maintaining design systems
Preparing developer-friendly specs

Automate UI testing scripts
Validating UI through automated tools and AI-assisted feedback

Use AI to analyze user feedback and classify reactions
Improve UX flows

Connect business workflows with AI tools
Integrate APIs, databases, and design automation

Solve real user problems with AI
Integrating GenAI, automation, and UX intelligence



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