Built for Designers Who Want to Stay Ahead, this program helps you

Design That Adapts in Real-Time – Go beyond static screens into AI-driven, context-aware experiences across web, mobile, AR/VR, IoT & more.
AI as Your Co-Designer – Leverage GenAI & AgenticAI for instant prototypes, self-updating design systems, and automated usability testing.
Creativity + Code = Career Edge – Blend no-code agents with Python automation to deliver dev-ready interfaces and smarter workflows.
Portfolio That Gets Hired – Build real client briefs, an IIT Madras Pravartak faculty-reviewed capstone, and showcase skills top recruiters demand.

This Program Shapes AI-First Designers!

The PG Certificate in UI/UX Design with AgenticAI & GenAI is built for one urgent mission:To prepare you to become the next-generation UI/UX professional who blends human-centered creativity with AI-driven intelligence. It’s more than pushing pixels; it’s about designing adaptive interfaces, agentic workflows, and self-updating systems that businesses now demand.

About IIT Madras Pravartak

IIT Madras Pravartak Technologies Foundation is the Technology Innovation Hub of IIT Madras, established under the Department of Science and Technology, Government of India. Embedded within the IITMRP ecosystem, it combines IIT Madras’ renowned faculty, cutting-edge labs, and specialised research facilities to drive skilling, innovation, and incubation.

Working at the intersection of academia, research, and industry, IIT Madras Pravartak fosters the adoption of deep technology, nurtures next-generation talent, and enables real-world impact.

IIT Madras Faculty

The IIT Madras faculty is globally recognized for its groundbreaking research, innovation, and leadership in the fields of AI, product design, and management. As part of this program, you will have the privilege of learning directly from these esteemed professors who bring decades of academic and industry experience.
IIT Madras faculty members are at the forefront of technological advancements, contributing to both foundational research and the practical application of AI in product development. Their expertise spans a wide array of disciplines, from AI-powered systems to ethical AI frameworks, ensuring that your learning is aligned with the most cutting-edge industry practices.
By joining this program, you’ll gain insights and mentorship from these world-class professors who will guide you through an immersive, hands-on learning experience, enabling you to design, develop, and manage AI-infused products that are scalable, adaptive, and future-ready.

Traditional UI/UX Courses vs.
IIT Madras Pravartak: UI/UX with AgenticAI & GenAI

Dimension
Core Philosophy
Curriculum Style
AI Integration
Tool Exposure
Workflow Mapping
Skill Depth

Capstone Project

Career Readiness
IIT Madras Pravartak: UI/UX with AgenticAI & GenAI
Human-centered design + Agentic AI systems that adapt and evolve in real time
Full-stack design flow: research → prototyping → AI agents → automation
End-to-end AI & Agentic workflows for prototyping, testing, and analytics
30+ next-gen tools: Figma AI, Uizard, Relume, Galileo AI, LangChain, Flowise, Python
AI workflow mapping with self-updating design systems & automation
Hybrid skillset: No-code + Python + AI analytics
Real industry briefs, AI-augmented UX projects reviewed by IIT Madras faculty & mentors
Job-ready portfolio for AI-augmented roles like UX Automation Specialist, AI Experience Architect
Traditional UX/UI Bootcamps

Focus on visual polish, wireframes, and usability heuristics
Tool-based training (Figma, XD, Sketch)

Rarely beyond plugins

Covers standard design tools

Missing (linear, static design process)

No code focus, limited analytics

Basic case studies or portfolio screens

Junior-level UI/UX portfolio
Traditional UX/UI Bootcamps
IIT Madras Pravartak: UI/UX with AgenticAI & GenAI
Core Philosophy
Focus on visual polish, wireframes, and usability heuristics
Human-centered design + Agentic AI systems that adapt and evolve in real time
Curriculum Style
Tool-based training (Figma, XD, Sketch)
Full-stack design flow: research → prototyping → AI agents → automation
AI Integration
Rarely beyond plugins
End-to-end AI & Agentic workflows for prototyping, testing, and analytics
Tool Exposure
Covers standard design tools
30+ next-gen tools: Figma AI, Uizard, Relume, Galileo AI, LangChain, Flowise, Python
Workflow Mapping
Missing (linear, static design process)
AI workflow mapping with self-updating design systems & automation
Skill Depth
No code focus, limited analytics
Hybrid skillset: No-code + Python + AI analytics
Capstone Project
Basic case studies or portfolio screens
Real industry briefs, AI-augmented UX projects reviewed by IIT Madras faculty & mentors
Career Readiness
Junior-level UI/UX portfolio
Job-ready portfolio for AI-augmented roles like UX Automation Specialist, AI Experience Architect

How you go from designing screens to building AI-augmented experiences… in just 8 months.

  • Module 1: Creating User Journeys with AI and Human Centred Design

    Define user journeys, user flows, touchpoints; AI in user journey creation; Personas & empathy maps
    Observation and interviewing to better understand what people want and need.

  • Module 2: Mastering Visual Design Aesthetics

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

  • Module 3:Wireframing & Prototyping Designs

    Lo-fi to hi-fi prototyping, design systems, rapid prototyping, component libraries

  • Module 4: Conduct Usability Testing & Analyze Feedback

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

  • Module 5: Generative AI for UX Design

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

  • Module 6: Crafting Prompts for Visual Design

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

  • Module 7:Build No-Code Co-Design Agents

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

  • Module 8: Implement RAG & Multimodal Workflows in Design

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

  • Module 9: Map AI-Driven UX Workflows

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

  • Module 10: Refine Designs with Feedback Loops & AI Optimization

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

  • Module 11: Design and Consumer Psychology

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

  • Module 12: Automate Design Systems & Handoff Processes

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

  • Module 13: Injecting Context into Agent Workflows for Dynamic Handling

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

  • Module 14: Analyze UX Feedback with Sentiment-Aware Analytics

    Use AI to analyze user feedback and classify reactions, improve UX flows

  • Module 15: Design Agent Workflows with Python

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

  • Module 16: Capstone Project – AI-Enhanced UX Design

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

By the End, You’ll Be Able to Do All This

Apply Human-Centered Design at Scale

Build personas, journey maps, and adaptive user flows; critique and improve designs for real-world impact.

Prototype & Test Faster with AI

Create wireframes, style guides, and high-fidelity prototypes in Figma, powered by AI-driven usability testing and feedback loops.

Leverage Generative & Agentic AI

Generate, refine, and personalize UI/UX assets with AI co-design agents, multimodal workflows, and real-time adaptation.

Map & Automate UX Workflows

Break design processes into AI-driven steps, integrate decision logic, and streamline developer handoff with automation.

Ensure Accessibility & Ethical Design

Run automated accessibility audits, apply fairness & inclusion standards, and ensure responsible AI usage across products.

Automate Testing & Analytics

Use Python and AI tools to conduct UI testing, sentiment analysis, and deliver continuous design improvements.

Welcome to the AI Design Clinic

Where design stops being static… and starts becoming adaptive, intelligent, and performance-driven, so you graduate with a portfolio that employers can’t ignore.

Solve Real UX Challenges

Redesign onboarding flows, optimize e-commerce journeys, or prototype AR/VR interfaces using AI-powered tools and analytics.

Co-Design with AI Agents

Use Agentic AI to auto-generate prototypes, run instant usability tests, and evolve interfaces in real time based on data.

Master the AI-First Design Stack

Work hands-on with Figma AI, Uizard, Relume, CrewAI, LangChain, Python automation, and Hotjar analytics to design experiences that scale.

Ship Weekly Iterations

Build, test, and refine UX flows in sprint-style cycles, moving from wireframes to deployment-ready assets faster than ever.

Get Expert Feedback

Your work will be reviewed by IIT Madras Pravartak faculty and industry mentors from Futurense’s Leadership Council, ensuring your portfolio speaks the language of hiring managers.

Graduate With Confidence

By the end, you’ll walk away with 4+ AI-augmented UX projects, proving you can design not just for today, but for the AI-powered future of UX.

Career Assistance That Doesn’t Stop at Mock Interviews

From Day 1 to your next role, we guide you at every step.

Diagnostic Test & Evaluations

Start with a test and multiple evaluations to sharpen product thinking and AI skills.

Live Industry
 Sessions

2-3 monthly Chai Talks, AI workshops, and career discussions with industry leaders.

Exclusive 1:1
 Mentorship

Offered for top performers meeting benchmarks, includes personal mentorship and mock interview.

Futurense 
Breakfast Club

Weekly alumni meetups with case discussions and hiring lead exchanges.

Real Projects
at AI Clinic

Work on live RFPs and challenges to build a strong industry-relevant portfolio.

Resume That Gets Shortlisted

Workshops & expert reviews focused on creating resumes tailored for leadership roles.

Mock Interviews & Feedback

Simulated interviews with actionable performance feedback.

Build Your AI Copilot (FPA)

The Futurense Project Assistant helps you debug, prompt smarter, and connect your AI stack

Deep Dives Beyond the Syllabus

Join 6 expert-led workshops on CRMs, dashboards, A/B testing, and funnel automation

Get Feedback From the Frontlines

Your builds are reviewed by leaders from Google, AmEx, Lenskart, and the Futurense
leadership council

Master the GenAI-Powered MarTech Stack

Get hands-on with 30+ tools across copy, design, CRM, analytics, automation, and more

Ship Live Campaigns Every Week

Go from whiteboard to working prototypes using real data and tools

Break Stuff… Learn Fast

Experiment in GPU-powered labs where failure is part of the brief

Built for People Like You?

Educational Qualification

Bachelor’s degree (minimum 3 years) in any discipline with at least 50% marks. Diploma holders may also apply.

Work Experience

Minimum 1 year of experience preferred in UI/UX design, graphic design, front-end development, product design/marketing, CX, growth, or founder’s office roles.

Freshers

Exceptional fresh graduates or diploma holders with strong fundamentals may be considered via screening.

Prior Knowledge

Comfort with programming (Python preferred), familiarity with networking/data structures, and basic knowledge of design tools like Figma or Adobe XD.

Selection Process

All applicants must clear a pre-screen exam testing design aptitude, logical reasoning, and familiarity with AI/UX fundamentals.

Qualifying Test

All applicants must clear a readiness test to qualify for the program. This test ensures each learner meets IIT Madras Pravartak’s academic and technical standards.

What You’ll Be Tested On
Important Guidelines

1. Logical Reasoning

2. Quantitative Aptitude

3. Digital & AI Awareness

4. Applied Scenario (Situational Judgment)

₹Give the range (+ EMI interest, if any)

What You’ll Be Tested On

  • Design Principles

  • Logical Reasoning

  • AI Literacy & AI Tools for Design

Important Guidelines

  • 60 Minutes

  • Sectional cutoff for Areas to be tested.

  • Students can answer any section in any order.

Roles Thatʼll Be
Looking for You

Role Now
Program Manager
Salary Today
5 - 8 LPA
Role Upgraded
AI Product Manager
Earning Potential
15 - 35 LPA
Top Recruiters
GoogleMicrosoft_logoamazonDeloitte.svgInfosys_logo
Role Now
Solution Architect
Salary Today
6 - 10 LPA
Role Upgraded
Multi-Agent Workflow Architect
Earning Potential
25-50 LPA
Top Recruiters
ABBmahindra and mahindrabhel logofanucl&t logo
Role Now
ML Engineer
Salary Today
5 - 9 LPA
Role Upgraded
MAS Orchestration Engineer
Earning Potential
20 - 40 LPA
Top Recruiters
Google logonvidiafluturaDetect Technologies
Role Now
BPM Specialist
Salary Today
4 - 7 LPA
Role Upgraded
Agentic Process Designer
Earning Potential
18 - 35 LPA
Top Recruiters
Tata SteelReliance IndustriesAltizonGrene Robotics
Role Now
Engineer
Salary Today
4 - 7 LPA
Role Upgraded
MAS Engineer / Context Engineering Lead
Earning Potential
9 - 14 LPA
Top Recruiters
Tata SteelReliance IndustriesAltizonGrene Robotics
Role Now
Software Engineer
Salary Today
3 - 6 LPA
Role Upgraded
AI Engineer, Agentic Engineer
Earning Potential
20 - 30 LPA
Top Recruiters
Tata SteelReliance IndustriesAltizonGrene Robotics
Role Now
Program Manager
Salary Today
10 - 15 LPA
Role Upgraded
AI Product Manager (Agent-Based Systems)
Earning Potential
15 - 35 LPA
Top Recruiters
Tata SteelReliance IndustriesAltizonGrene Robotics
Role Now
Business Process Manager (BPM)
Salary Today
8 - 18 LPA
Role Upgraded
Multi-Agent Workflow Architect
Earning Potential
20 - 50 LPA
Top Recruiters
Tata SteelReliance IndustriesAltizonGrene Robotics
Role Now
Machine Learning Engineer
Salary Today
8 - 20 LPA
Role Upgraded
MAS Orchestration Engineer / AI Workflow Architect
Earning Potential
20 - 40 LPA
Top Recruiters
Tata SteelReliance IndustriesAltizonGrene Robotics
Role Now
Robotics Specialist
Salary Today
10 - 18 LPA
Role Upgraded
AI Agent Workflow Designer / Process Automation Lead
Earning Potential
20 - 35 LPA
Top Recruiters
Tata SteelReliance IndustriesAltizonGrene Robotics
Role Now
Engineer
Salary Today
6 - 12 LPA
Role Upgraded
Generative AI Engineer / AI Agent Developer
Earning Potential
20 - 50 LPA
Top Recruiters
Tata SteelReliance IndustriesAltizonGrene Robotics
Role Now
Data Analyst
Salary Today
8 - 15 LPA
Role Upgraded
AI Agent System Designer / Context Engineer
Earning Potential
20 - 40 LPA
Top Recruiters
Tata SteelReliance IndustriesAltizonGrene Robotics

AI-Augmented UX Lead

₹15 – 30 LPA

AI Experience Architect

₹18 – 36 LPA

UX Automation Specialist

₹12-20 LPA

GenAI Product Design Specialist

₹10-18 LPA

AI-Driven Product Design Lead

₹15 – 35 LPA; up to ₹60 L+ at top firms

Sentiment-Aware UX Analyst

₹25 – 50 L+

GenAI Product Design Specialist

₹20 – 40 L+

UX Automation Specialist

₹20 – 30 L
*Note: Neither Futurense Technologies nor IIT Madras provides any job guarantee as part of the program.

Your Path to Becoming an AI-First UX Designer

1

Submit Your Application

Fill out the online application form with your academic background and work experience.

2

Application Review and Eligibility Criteria Approval

Your profile will be evaluated against the program’s eligibility criteria.

3

Appear for the Qualifying Test

Clear a short exam testing design aptitude, logical reasoning, and basic programming/UX fundamentals.

4

Secure Your Seat

Confirm your enrolment by paying the application processing fee (fully adjustable against the program fee).

5

Receive Your Offer Letter

Get official admission confirmation from IIT Madras Pravartak.

6

Begin the Bridge Course

Kickstart your journey with a foundation module covering Python basics, GenAI/Agentic AI fundamentals, and Prompt Engineering.

7

Start the UI/UX with AgenticAI & GenAI Program

Join live weekend sessions, hands-on labs, and design clinics led by IIT Madras faculty & industry mentors.

8

Capstone & Showcase

Deliver an AI-augmented UX project from research to deployment, reviewed by IIT faculty and Futurense Leadership Council mentors.

Fee Structure

Upfront Payment
EMI Plan (via NBFC Partners)
Application Token
₹5000 (non-refundable, adjustable)
₹5000 (non-refundable, adjustable)
Bridge Course Fee
₹99,000 (waived off with enrollment )
₹99,000 (waived off with enrollment)
Certification Fee
₹84,000 + GST (18%)
₹84,000 + GST (18%) (via 3, 6 & 9 month EMIs)
Campus Immersion Fee
₹10,000 (optional)
₹10,000 (optional)
Total (Including GST)
₹99,120

*A non-refundable application deposit of ₹5,000 will be adjusted in the total fee. Program fees are refundable only if the student withdraws before the start date. No refunds will be made after the program begins.

*An additional ₹10,000 will be applicable if you opt for the Campus Immersion (optional).


*Deserving candidates opting for the upfront payment plan may be eligible for a scholarship of up to ₹15,000.

Low-Cost EMI Options

3, 6 & 9 months available

NBFC Partners

Zero-cost EMI for eligible candidates

Payment Modes

UPI, Netbanking, Credit/Debit Cards

ashish dabas
Ashish Dabas
Vice
President
nitin srivastava
Nitin Srivastava
Data & Analytics
India Lead
anupam gupta
Anupam Gupta
VP Enterprise Data &
Analytics
muthumari s
Muthumari S
Global Head of Data &
AI Studio
anand das
Anand Das
Chief digital & AI Officer: Engineering
a v rahul
A V Rahul
Director,
Analytics
madhu hosadurga
Madhu Hosadurga
Global Vice President,
Enterprise AI
aditya khandekar
Aditya Khandekar
President
pankaj srivastava
Pankaj Srivastava
Partner
satyam mohanty
Satyakam Mohanty
Founder & Managing
Partner
sharmistha chaterjee
Sharmistha Chaterjee
Vice President - Data and AI Shared Capabilities
anirban nandi
Anirban Nandi
Head of AI Products & Analytics (Vice President)
monica s pirgal
Monica S Pirgal
Managing Director &Site head - Board member
sumon mal
Sumon Mal
Head of
Engineering
pankaj rai
Pankaj Rai
Group Chief Data and
Analytics Officer
vishal nagpal
Vishal Nagpal
Data Science and
Analytics Leader
Tushar sahu
Tushar Sahu
Director
Engineering
Ishu jain
Ishu Jain
Head of
Analytics
kaushik das
Kaushik Das
Managing
Director
shrisha ray
Shrisha Ray
Director of
Engineering
divesh singla
Divesh Singla
Head  APAC & Managing Director India & Philippines
Ruchika singh
Ruchika Singh
Director , Data Science
& Insights
arvind balasundaram
Arvind Balasundram
Executive Director, Commercial Insights & Analytics
Indrani goswami
Indrani Goswami
Director of
Analytics
Saurabh kumar
Saurabh Kumar
Director - Data
Engineering
saurabh agarwal
Saurabh Agarwal
Chief Executive
Officer
supriya dhanda
Supria Dhanda
Co-Founder & Managing
Partner
ankit mogra
Ankit Mogra
Director - BI &
Analytics
srini oduru
Srini Oduru
Head of IT Delivery and Operations
alok tiwari
Alok Tiwari
Vice President -
Data
akshay kumar
Akshay Kumar
Research & Analytics
Leader
deepa mahesh
Deepa Mahesh
Head of Strategy & Operations, Board Member
swati jain
Swati Jain
Partner - Digital, AI &
Analytics
krithika muthukrishnan
Krithika Muthukrishnan
Chief Data Science
Officer
tushar chahal
Tushar Chahal
Chief Technology
Officer
sulabh jain
Sulabh Jain
Chief Analytics
Officer
aneel kumar
Aneel kumar
Global Chapter Leader - ICSS, DD&T
arpit agarwal
Arpit Agarwal
Head of Data Science and Analytics
bhairav m
Bhairav M
Senior Manager Data Science and Product Management
saurabh agarwal
Saurabh Agarwal
Chief Executive
Officer
supriya dhanda
Supria Dhanda
Co-Founder & Managing
Partner
ankit mogra
Ankit Mogra
Director - BI &
Analytics
pankaj rai
Pankaj Rai
Group Chief Data and
Analytics Officer
Tushar sahu
Tushar Sahu
Director
Engineering
vishal nagpal
Vishal Nagpal
Data Science and
Analytics Leader
Ishu jain
Ishu Jain
Head of
Analytics
kaushik das
Kaushik Das
Managing
Director
shrisha ray
Shrisha Ray
Director of
Engineering
divesh singla
Divesh Singla
Head  APAC & Managing Director India & Philippines
Ruchika singh
Ruchika Singh
Director , Data Science
& Insights
arvind balasundaram
Arvind Balasundram
Executive Director, Commercial Insights & Analytics
Indrani goswami
Indrani Goswami
Director of
Analytics
Saurabh kumar
Saurabh Kumar
Director - Data
Engineering
saurabh agarwal
Saurabh Agarwal
Chief Executive
Officer
supriya dhanda
Supria Dhanda
Co-Founder & Managing
Partner
ankit mogra
Ankit Mogra
Director - BI &
Analytics
ashish dabas
Ashish Dabas
Vice
President
nitin srivastava
Nitin Srivastava
Data & Analytics
India Lead
anupam gupta
Anupam Gupta
VP Enterprise Data and
Analytics
muthumari s
Muthumari S
Global Head of Data &
AI Studio
anand das
Anand Das
Chief digital & AI Officer: Engineering
aditya khandekar
Aditya Khandekar
President
satyam mohanty
Satyakam Mohanty
Founder & Managing
Partner
sharmistha chaterjee
Sharmistha Chaterjee
Vice President - Data and AI Shared Capabilities
anirban nandi
Anirban Nandi
Head of AI Products & Analytics (Vice President)
monica s pirgal
Monica S Pirgal
Managing Director &Site head - Board member
sumon mal
Sumon Mal
Head of
Engineering
srini oduru
Srini Oduru
Head of IT Delivery and Operations
alok tiwari
Alok Tiwari
Vice President -
Data
akshay kumar
Akshay Kumar
Research & Analytics
Leader
deepa mahesh
Deepa Mahesh
Head of Strategy & Operations, Board Member
swati jain
Swati Jain
Partner - Digital, AI &
Analytics
krithika muthukrishnan
Krithika Muthukrishnan
Chief Data Science
Officer
tushar chahal
Tushar Chahal
Chief Technology
Officer
sulabh jain
Sulabh Jain
Chief Analytics
Officer
aneel kumar
Aneel kumar
Global Chapter Leader - ICSS, DD&T
arpit agarwal
Arpit Agarwal
Head of Data Science and Analytics
bhairav m
Bhairav M
Senior Manager Data Science and Product Management
a v rahul
A V Rahul
Director,
Analytics
madhu hosadurga
Madhu Hosadurga
Global Vice President,
Enterprise AI

Ready to Redefine User Experience in the AI Era?

Whether you’re a designer, developer, or product professional, if you’re ready to create AI-augmented interfaces, adaptive design systems, and UX that performs at scale, this is your moment.

Frequesntly Asked Questions

  • What is the name of the certificate program, and which IIT offers it?

    The program is called Advanced Certificate in  UI-UX Design with Agentic AI and GenAI,offered by IITM Pravartak Centre of Excellence (IITM Pravartak CoE)

  • What qualifications do I need to apply?

    The duration is 7-9 months
    First chohort begins on 11th October 2025.

  • What are the eligibility criteria for this program, and who should ideally enroll?

    This program is ideal for UI-UX designers, front-end developers, content strategists, product professionals,and entrepreneurs with basic UX/UI knowledge who want to design intelligent, agentic, and conversationalinterfaces using GenAI.

  • How can I apply to the Pravartak Advanced Certificate in  UI-UX Design with Agentic AI and GenAI?

  • When will the application process to the program start?

    The application process for Advanced Certificate, IIT Madrass Program has already begun.

  • What is the program's fee, and what financing options are available?

    The program fee is ₹84,000 (inclusive of GST, tentative), The documents do not mention financing options.

  • Is there a selection process?

    Yes. Admission to the program requires clearing a pre-screening exam and meeting the eligibility criteria

  • What are the documents to be submitted for application?

    • Aadhar Card
    • DOB (in correct format and as per Aadhar Card - DD/MM/YYYY)
    • Resume
    • Graduation Marksheet and Degree (cross-verified with scores entered in the application portal)
    • 10th Marks (cross-verified)
    • 12th Marks (cross-verified)
    • Previous Experience Letter, Offer Letter, and Salary Slip
    • NOC (mandatory for M.Tech applicants; self-declaration required for PGD applicants)
  • Will there be any pre-screen exams for enrolling in the Program?

    Yes, there will be a pre screening exam

  • Should I have experience in coding to qualify the pre-screening exam?

    Not mandatory program focuses on AI product strategy and management rather than deep coding

  • How is the teaching format structured for this hybrid program?

    The program is delivered through along with a at the IIT Madras live online classes, 3-day immersion campus at the end of the program.

  • What if I can t take 3-day of leave at a stretch from my office for the Campus Immersion?

    The campus immersion is at the end of the program, allowing advance planning

  • Will there be any additional cost for attending the optional 3-day CEC IIT Madras campus immersion?

    Yes. The campus immersion cost is ₹10,000 per candidate per immersion.

  • Will hostel accommodation be provided for outstation candidates from different states during immersion?

    Yes, accommodation will be arranged (subject to availability).

  • What are some practical projects or hands-on learning outcomes included in the course?

    Capstone project designing a production-grade agentic AI workflow, prompt engineering exercises, tool integration labs, and autonomous workflow simulations

  • What are the key modules in the program, starting from traditional AI to building multi-agent systems?

    1. Fundamentals of UI/UX with AI
    2. Prompt engineering for design
    3. GenAI-assisted design workflows
    4. Agentic systems for adaptive UX
    5. Conversational interface design
    6. Capstone: Designing an AI-powered product experience (from CSV curriculum).
  • What is the significance of teaching multi-agent systems and agent collaboration in the program?

    Multi-agent systems are crucial for scalable, autonomous UX design, enabling real-timepersonalization and collaboration between AI systems to optimize user experience

  • Who is the program director, and why is their expertise significant?

  • How do industry leaders and the Futurense Leadership Council (FLC) contribute to the program?

    Industry experts from Google, Microsoft, Infosys, Lenskart, AmEx, and more teach live sessions.

    The Futurense Leadership Council offers:

    • Masterclasses
    • Mentorship
    • Real-world MarTech case walkthroughs

    50% of sessions are taught by industry faculty, ensuring applied learning

  • What areas of AI does this program cover, and how does it integrate traditional AI, generative AI, and agentic AI?

    The program covers:

    • Traditional AI: UX analytics, personalization, automation.
    • Generative AI: Design content creation, conversational UI, adaptive layouts.
    • Agentic AI: Autonomous workflows for user interaction & context-aware systems (fromCSV curriculum).
  • What tools and platforms are covered in this program?

    LangChain, CrewAI, AutoGen, Guardrails, OpenRouter, GPT-4, Claude, GitHub Copilot, VSCode, Promptfoo, PromptArmor.

  • Why is agentic AI called the next big thing in AI technology?

    Because it enables autonomous, multi-agent systems that can make decisions, execute tasks, and learn from outcomes — driving automation beyond traditional AI capabilities.

  • What makes this certificate program particularly suitable for engineers and tech professionals?

    It provides hands-on training in multi-agent orchestration, tool integration, and deployment, making it ideal for engineers looking to transition into AI systems design and automation roles

  • How does the program enable participants to specialize in their specific engineering domains?

    By providing modular training and toolkits that can be adapted for different domains like fintech, e-commerce, SaaS, and manufacturing

  • What is the difference between traditional AI, generative AI, and agentic AI?

    • Traditional AI: Uses structured data for fixed tasks.
    • Generative AI: Creates text, images, code (e.g., ChatGPT, Claude)
    • Agentic AI: Autonomous agents that make decisions, adapt, and operate independently.
  • How are agentic AI systems used across industries like healthcare, manufacturing, and telecom?

    • Healthcare: Automates diagnosis and treatment recommendations.
    • Manufacturing: Enables process optimization and predictive maintenance.
    • Telecom: Powers AI-driven customer support and network optimization.
  • What job roles can participants expect to pursue after completing this program?

    • AI UX Designer
    • Conversational UX Specialist
    • GenAI Product Designer
    • AI Product Manager
    • UX Researcher (AI-focused)
    • Human-AI Interaction Specialist
  • How does having skills in generative AI and agentic AI impact salary and job prospects?

    It positions professionals for high-demand, specialized AI roles with significantly higher earning potential compared to general AI roles.

  • How does this program align with the rapid adoption of generative AI by companies like Infosys, TCS, and startups?

    It trains participants in building enterprise-ready, autonomous AI systems — matching the industry trend of setting up GenAI and agentic AI labs.

  • Why will this certification future-proof their careers in a rapidly evolving market?

    It prepares learners to design autonomous, intelligent, and adaptive user experiences using AI,ensuring relevance in an AI-first future.

  • What is the projected market value of generative AI by 2032, and what percentage of enterprises are prioritizing its adoption?

    • Projected market value: $1.3 trillion by 2032
    • 74% of enterprises are prioritizing GenAI adoption (Gartner, 2024)

    Source: Figures based on projections from Bloomberg Intelligence and enterprise adoption data from Gartner (2025).

  • How does India rank in terms of startups and initiatives focusing on generative AI and agentic AI?

    • India is a leading hub for AI innovation, with $600M+ raised in GenAI startups in 2024 alone.

    Source: Based on analysis by NASSCOM on India s GenAI startup ecosystem.

  • What trends in tier 2 cities in India (e.g., Coimbatore, Jaipur) highlight the growth of AI related job roles?

    • Tier 2 cities are experiencing a 35%+ hiring surge due to companies like TCS and Infosys setting up GenAI labs, expanding opportunities for both freshers and mid career professionals.

    Source: Hiring data from foundit Insights (June 2025) and GetWork report (May 2024).

  • What is the Payment Schedule and Process?

    • Full fee payment of ₹84 thousand + GST must be completed within 5 days of receiving the offer letter
    • A non-refundable application deposit of ₹5,000 is required at the time of submission (adjusted in final fee)
    • Loan options are also available
  • Can I self-fund this program?

    Yes. If you or your family are funding the program, you can choose to self-fund either partially or in full.

  • Does Futurense help with loans?

    Yes. Futurense has partnered with various financial institutes to offer financial assistance

  • What is the interest rate on the loans?

    Interest rates vary depending on the repayment plan and financial partner. Rates are described as reasonable and competitive considering the recent rise in unsecured loan rates in India.

  • What are the documents I should keep handy?

    Student's Documents:

    • PAN
    • Aadhar
    • Last 3 months’ bank statements

    Income Documents

    • Last 3 months’ payslips