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Start Date

15th November, 2025

Duration

7 Months | 140+ Hrs

Course Fee

₹84,000 + GST

Number of Seats Left

19 Seats

Application Deadline

25th September, 2025

Master the AI-Powered Product Lifecycle, End-to-End

AI-Driven Product Leadership – Master the full lifecycle from ideation to scaling with generative design, predictive analytics, and AI-powered prototyping.

End-to-End AI Integration - Apply AI across design, development, testing, launch, and create hyper-personalized user journeys with automation.

Hands-On Learning - Practice in product labs, simulations, and capstones on original AI-first concepts guided by IIT Madras faculty and industry mentors.

Flexible Growth Path - Weekend live sessions, optional IIT campus immersion, global curriculum aligned with ethical AI, plus access to career roadmap and Futurense Breakfast Club.

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This Program Shapes AI-First Product Leaders!

The AI-Powered Product Design & Management is built for one urgent mission:To prepare you to become the full-stack, AI-first product innovator that modern businesses demand.

IITM Pravartak
IIT Madras Faculty
IIT Madras Resarch Park

About IITM Pravartak

IITM 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, IITM Pravartak fosters the adoption of deep technology, nurtures next-generation talent, and enables real-world impact.

IIT Madras Faculty

The IIT Madras faculty are globally recognized for their contributions in AI, product design, and management. With expertise spanning AI-powered systems to ethical AI frameworks, they combine research leadership with real-world application. As part of this program, you’ll learn directly from these experts through immersive, hands-on sessions, gaining the skills to design and scale AI-infused products that are adaptive, ethical, and industry-ready.

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Traditional Digital Marketing vs. AI-Powered Product Design & Management at IITM Pravartak

Dimension

IITM Pravartak: AI-Powered Product Design & Management

Traditional Product Management Programs

Core Philosophy
Engineering adaptive, AI-infused product lifecycles that evolve in real time
Focused on linear roadmaps and fixed requirements
Curriculum Style
AI-first, system-driven, rooted in continuous discovery, generative design, and predictive scaling
Tool-based and reactive, with static frameworks
Tool Exposure
Hands-on with 30+ next-gen tools, including Figma AI plugins, Productboard, Uizard, Mixpanel AI, and Amplitude Predictive Cohorts
Covers basic design tools and analytics platforms
GenAI & Prompting
Prompt labs to generate UI/UX designs, simulate market scenarios, and create instant prototypes
Rarely touched or only discussed conceptually
Product Architecture
Hyper-personalized, data-driven experiences tailored to specific segments or individuals
One-size-fits-all design approach
Prototyping & Testing
AI-enabled instant prototyping, digital twin simulations, and predictive user testing
Manual iterations with long feedback loops
Mentor Access
1:1 reviews with product leaders, IIT faculty, and FLC mentors in design and strategy
Limited guest exposure
Capstone Format
Fully deployable AI-infused product concept from ideation to launch, presented in a portfolio-ready format
Basic report or static dashboard project
Learning Outcome
Build adaptive, AI-powered products that can scale, pivot, and self-improve post-launch
Understand product frameworks and tools
Mindset Trained
AI-first product leader who designs for evolution, scalability, and ethical AI integration
Execution-focused product manager

How You Go From Learning to executing with AI.. in Just 7 Months

Module 1: The Foundation Skills

  • Understanding the PM Lifecycle in Age of AI
  • Understanding AI
  • Generative AI for PMs
  • Agentic AI Collaboration
  • Prompt Engineering Essentials
  • Tech Stacks and Ecosystems for PMs

Module 2: Customers and Products in AI Age

  • AI-Driven Customer Lifecycle Management (acquisition, engagement, retention, churn prediction)
  • Hyper-Personalization & Predictive Journeys
  • Behavioral Analytics & Sentiment Mining
  • Designing Self-Learning Products (continuous improvement through AI feedback loops)
  • Voice of the Customer in the AI Age (multi-channel, multilingual, real-time analysis)
  • Product-Market Fit Discovery with AI

Module 3: Market Discovery and Foresight

  • Understanding Market Discovery
  • Foresight thinking
  • AI-driven market trend prediction
  • Competitive intelligence with AI
  • Voice of Customer mining (social listening, review mining)

Module 4: Elastic Requirements Engineering

  • Live requirement discovery
  • Continuous prioritization
  • Customer interviews augmented by AI
  • Dynamic PRD frameworks

Module 5: Product Design

  • Design Thinking for AI Products
  • Human-Centered Design Principles
  • AI-Driven UX Research
  • Ethical and Inclusive Design
  • Design Validation and Usability Testing

Module 6: Prompt Based Design and Prototyping

  • Prompt-based UI/UX generation
  • Digital twin simulation
  • Instant prototyping from text

Module 7: Agile Development Enablement with AI

  • AI in coding (pair programming)
  • AI-generated testing
  • DevOps and CI/CD AI integration

Module 8: Precision Launch and GTM Orchestration

  • Dynamic segmentation
  • Personalization at scale
  • Pricing optimization with AI
  • AI in content and messaging

Module 9: Live Product Intelligence and Post Launch Growth

  • Product telemetry
  • Live cohort analysis
  • Predictive churn detection
  • Continuous feedback loops

Module 10: Product Marketing in Age of AI

  • AI-Driven Market Segmentation & Targeting
  • Personalized Campaigns at Scale
  • Dynamic Pricing & Offer Optimization
  • Content Creation & A/B Testing with AI
  • Predictive Lead Scoring
  • Attribution Modeling in Multi-Channel Marketing
  • Measuring Marketing ROI for AI Products

Module 11: Intelligent Scaling and Renewal

  • Expansion modeling with AI
  • Globalization scaling strategies
  • Sunset planning with data triggers

Module 12: Metrics to Monitor

  • North Star Metrics (NSM) & OKRs for AI Products
  • Customer-Centric Metrics (Engagement, Retention, NPS, CLV)
  • Product Performance Metrics (Feature adoption, DAU/MAU, Stickiness)
  • AI Model Performance Metrics (Precision, Recall, Bias & Fairness metrics)
  • Revenue & Growth Metrics (ARR, CAC, Payback Period)
  • Real-Time Monitoring & Alerting with AI

Module 13: Leading PM lifecycle

  • Leading during Crisis
  • Stakeholder Management
  • Making Compelling Negotiations
  • Program and Project Planning

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

AI-First Product Thinking

Apply AI-driven ideation, generative design, and predictive analytics to conceptualize adaptive products.

Integrating AI into Roadmaps

Embed recommendation engines, generative interfaces, and predictive analytics across product stages.

Data-Driven Decision-Making

Translate complex datasets into strategic product insights using advanced analytics and ML models.

Cross-Functional AI Collaboration

Coordinate between data science, engineering, and design teams for cohesive product delivery.

Responsible & Ethical AI Practices

Implement fairness, transparency, and privacy compliance in AI-powered products.

High-Impact Product Leadership

Step into emerging roles like AI Product Manager, Generative Design Lead, and Data-Driven UX Strategist.

While mastering 20+ tools

Market Discovery & Intelligence
Generative Design & Prototyping
AI-Enhanced Development & Testing
Product Management & Growth
Content & Personalization Automation
Predictive Analytics & Customer Intelligence
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Welcome to the AI Clinic

Solve Real Product Challenges

Use AI to accelerate market discovery, product concept generation, and user testing with live data.

Orchestrate the AI Product Stack

Master 30+ tools for generative design, predictive analytics, and AI-driven testing.

Go Beyond the Curriculum

Join live clinics on requirement gathering, digital twin prototyping, A/B testing, and churn modeling.

Ship Product Iterations Weekly

Build, test, and simulate new product features with real data.

Get Expert Feedback

Receive reviews from IIT Madras faculty, industry leaders, and Futurense mentors.

Break Stuff & Learn Fast

Test prototypes in AI-powered labs, learning through rapid iteration.

Your Career, Our Commitment

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.

Built for People Like You?

Educational Qualification

Bachelor’s degree in Engineering, Design, Business, Computer Science, or a related field (Minimum 50%).

Work Experience

Individuals with less than 2 years of experience in product development, design, analytics, software engineering, or related functions

Freshers

Exceptional freshers with strong fundamentals may be considered via screening

Prior Knowledge

Basic familiarity with design tools, product management frameworks, or data analysis; curiosity about AI technologies like machine learning, generative AI, and predictive analytics

Selection Process

Short Product Readiness Assessment covering logic, problem-solving, and product thinking.

Qualifying Test

What You’ll Be Tested On

Logical Reasoning

Quantitative Aptitude

Digital & AI Awareness

Applied Scenario (Situational Judgment)

Important Guidelines

  • 75 Minutes
  • Non-invasive online qualifying test with MCQs
  • No prior experience needed.

Roles Thatʼll Be Looking for You

Freshers & Early-Career
Experienced Professionals

AI Growth & Personalization Strategist

₹8 - 14

lakhs per annum

AI-Driven Customer Experience Manager

₹7 - 15

lakhs per annum

AI Content Orchestration Lead

₹7 - 15 LPA

lakhs per annum

Quantitative Analyst

₹9 - 18

lakhs per annum

AI-Enhanced Prototype Engineer

₹8 - 15

lakhs per annum

Generative Product Designer

₹9 - 18

lakhs per annum

AI Product Strategist/Lead

₹18 - 28

lakhs per annum

Product Marketing Manager (AI)

₹15 - 22

lakhs per annum

AI Product Manager

₹15 - 25 LPA

lakhs per annum

AI Innovation Consultant

₹15 - 30

lakhs per annum

Product Data Strategist / AI Insights Manager

₹15 - 25

lakhs per annum

Generative UX Lead

₹12 - 25

lakhs per annum

AI Solutions Architect (Product)

₹15 - 30

lakhs per annum

AI Solutions Architect (Product)

₹15 - 30

lakhs per annum
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*Note: Neither Futurense Technologies nor IITM Pravartak provides any job guarantee as part of the program.

Your Path to Becoming an AI-First Product Leader

Step 1

Submit Your Application

Complete the online application form with your academic and professional details.

Step 2

Application Review and Eligibility Criteria Approval

Your profile is reviewed to ensure it meets the program’s educational and background requirements.

Step 3

Appear for the Qualifying Test

Take a short test assessing product thinking, logical reasoning, and familiarity with basic design/analytics concepts.

Step 4

Secure Your Seat

Confirm your enrolment with the application processing fee.

Step 5

Receive Your Offer Letter

Get an official admission confirmation and complete your fee payment.

Step 6

Begin the AI & Product Bridge Course

Access a fully sponsored foundation module that covers AI basics, product lifecycle fundamentals, and cross-functional collaboration essentials.

Step 7

Start Your AI-Powered Product Design & Management Journey

Dive into live sessions, hands-on labs, and real-world case studies led by IIT Madras faculty and industry experts.

Step 8

Capstone & Showcase

Build an AI-infused product concept from scratch and present it to a panel of faculty and industry mentors.

Fee Structure

Upfront Payment

EMI Plan (via NBFC Partners)

Application Token

₹5000 (non-refundable, adjustable)
₹5000 (non-refundable, adjustable)

Bridge Course Fee

₹29,000 (waived off with enrollment)
₹29,000 (waived off with enrollment)

Certification Fee

₹84,000 + GST (18%)*
₹84,000 + GST (18%) (via 6, 9, 12, 24 & 36-month EMIs)*

Total

₹99,120
  1. An additional ₹10,000 will be applicable if you opt for the Campus Immersion (Optional).
  2. Deserving candidates opting for the upfront payment plan may be eligible for a scholarship of up to ₹10,000.
  3. The EMI amount varies depending on the chosen tenure.

Low-Cost EMI Options

6, 9, 12 & 24 months tenure available

NBFC Partners

Zero-cost EMI for eligible candidates

Payment Modes

UPI, Netbanking, Credit/Debit Cards

Led by the Futurense Leadership Council (FLC)

Industry leaders from the worldʼs AI-first brands… now guiding your journey to become an AI-Powered Product Designer.

A V Rahul

Director, Analytics, - Barracuda

Aditya Khandekar

President, Corridor Platforms

Akshay Kumar

Research & Analytics Leader

Alok Tiwari

Director of Analytics, Junglee Games

Anand Das

Chief Digital & AI Officer, TVS Motors

Aneel kumar

Global Chapter Leader - ICSS, DD&T

Anirban Nandi

Head of AI Products & Analytics (Vice President), Rakuten India

Ankit Mogra

Director – Insights & Analytics, Ather Energy

Anupam Gupta

Independent Consultant – AI/ML Product Development, Amplify Health

Arpit Agarwal

Data Science Manager, Google

Arvind Balasundram

Executive Director, Commercial Insights & Analytics

Ashish Dabas

Vice President, Capital One

Bhairav M

Senior Manager Data Science and Product Management

Bhargab Dutta

Chief Digital Officer, Centuryply

Deepa Mahesh

Head of Strategy & Operations, Board Member

Divesh Singla

SVP, Global Operations Services and Managing Director, India & Philippines, SignantHealth

Indrani Goswami

Director of Analytics, NYKAA

Ishu Jain

Head of Analytics

Kaushik Das

Managing Director, JCPenney

Krithika Muthukrishnan

Chief Data Science Officer, Scripbox

Madhu Hosadurga

Global Vice President, Enterprise AI, Schneider Electric

Madhurima Agarwal

Managing Director - Microsoft for Startups

Monica S Pirgal

Chief Executive Officer, Bhartiya Converge

Muthumari S

Global Head of Data & AI Studio

Nithya Subramanian

Senior Director Data & AI COE - Best Buy

Nitin Srivastava

Global Head of Data and Analytics, Dr. Martens plc

Pankaj Rai 

Group Chief Data and Analytics Officer, Aditya Birla Group

Pankaj Srivastava

Partner, PwC

Praveen Sathyadev

Head - EU/UK Business Growth (VP) - Analytics, Insights and AI, Course5i

Ruchika Singh

Director, Data Science & Insights, Spotify

Satyakam Mohanty

Founder & Managing Partner, Wyser

Saurabh Agarwal

Chief Executive Officer

Saurabh Kumar

Director - Data Engineering

Sharmistha Chaterjee

Executive Engineering Manager - Head of Software and Systems Engineering, Commonwealth Bank

Shirsha Ray Chaudhuri

Director of Engineering

Srini Oduru

Head of IT Delivery and Operations, Cervello India

Sulabh Jain

Chief Analytics Officer

Sumon Mal

Head of Backend Engineering, Sony LIV

Supria Dhanda

Co-Founder & Managing Partner, Wyser

Swati Jain

Partner - Digital, AI & Analytics, Deloitte

Tushar Chahal

Chief Technology Officer, Numisma Bank

Tushar Sahu

Director Engineering, Google

Vidhi Chugh

AI Executive | Microsoft MVP

Vishal Nagpal

Director of Data and AI at Best Buy

Vishal Nagpal

Director of Data and AI at Best Buy

Vidhi Chugh

AI Executive | Microsoft MVP

Tushar Sahu

Director Engineering, Google

Tushar Chahal

Chief Technology Officer, Numisma Bank

Swati Jain

Partner - Digital, AI & Analytics, Deloitte

Supria Dhanda

Co-Founder & Managing Partner, Wyser

Sumon Mal

Head of Backend Engineering, Sony LIV

Sulabh Jain

Chief Analytics Officer

Srini Oduru

Head of IT Delivery and Operations, Cervello India

Shirsha Ray Chaudhuri

Director of Engineering

Sharmistha Chaterjee

Executive Engineering Manager - Head of Software and Systems Engineering, Commonwealth Bank

Saurabh Kumar

Director - Data Engineering

Saurabh Agarwal

Chief Executive Officer

Satyakam Mohanty

Founder & Managing Partner, Wyser

Ruchika Singh

Director, Data Science & Insights, Spotify

Praveen Sathyadev

Head - EU/UK Business Growth (VP) - Analytics, Insights and AI, Course5i

Pankaj Srivastava

Partner, PwC

Pankaj Rai 

Group Chief Data and Analytics Officer, Aditya Birla Group

Nitin Srivastava

Global Head of Data and Analytics, Dr. Martens plc

Nithya Subramanian

Senior Director Data & AI COE - Best Buy

Muthumari S

Global Head of Data & AI Studio

Monica S Pirgal

Chief Executive Officer, Bhartiya Converge

Madhurima Agarwal

Managing Director - Microsoft for Startups

Madhu Hosadurga

Global Vice President, Enterprise AI, Schneider Electric

Krithika Muthukrishnan

Chief Data Science Officer, Scripbox

Kaushik Das

Managing Director, JCPenney

Ishu Jain

Head of Analytics

Indrani Goswami

Director of Analytics, NYKAA

Divesh Singla

SVP, Global Operations Services and Managing Director, India & Philippines, SignantHealth

Deepa Mahesh

Head of Strategy & Operations, Board Member

Bhargab Dutta

Chief Digital Officer, Centuryply

Bhairav M

Senior Manager Data Science and Product Management

Ashish Dabas

Vice President, Capital One

Arvind Balasundram

Executive Director, Commercial Insights & Analytics

Arpit Agarwal

Data Science Manager, Google

Anupam Gupta

Independent Consultant – AI/ML Product Development, Amplify Health

Ankit Mogra

Director – Insights & Analytics, Ather Energy

Anirban Nandi

Head of AI Products & Analytics (Vice President), Rakuten India

Aneel kumar

Global Chapter Leader - ICSS, DD&T

Anand Das

Chief Digital & AI Officer, TVS Motors

Alok Tiwari

Director of Analytics, Junglee Games

Akshay Kumar

Research & Analytics Leader

Aditya Khandekar

President, Corridor Platforms

A V Rahul

Director, Analytics, - Barracuda

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Ready to Redefine Product Innovation in the AI Era?

Whether you're stepping into product management or aiming for the next leadership role.. if you're ready to launch and scale intelligent products that win in dynamic markets, this is your moment.

Frequently Asked Questions

We know you might have some questions before getting started in our platform

Program Overview & Eligibility
Learning Format, Faculty & Pedagogy
Curriculum & Tools
Career Pathways & Outcomes
Financials & Support

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

The program is called Pravartak Certificate in AI Powered Product Design and Management,offered by IITM Pravartak Centre of Excellence (IITM Pravartak CoE).

What is the duration of the program, and when does the first cohort begin?

The duration is 7-9 months (126+ hours). Batch commerce on 27th September, 2025

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

Open to graduates and professionals aiming to build careers in AI-driven product management.

Ideal for:

1. Early-career professionals
2. Product management aspirants
3. Current product managers
4. Entrepreneurs
5. Founders’ office members
6. Product strategists

How can I apply to the Pravartak Certificate in AI Powered Product Design and Management?

Click on Apply now and fill form

When will the application process to the program start?

The application process for IITM Pravartak Certificate in AI Powered Product Design and Management has already begun.

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

The program fee is ₹84,000 + 18% GST. Loan options are available with low cost EMIs

In addition, an amount of ₹10,000 (tentative) towards Immersion Charges shall be paid separately by the candidate. This amount is not included in the above-mentioned fees.
Note: Deserving candidates may be eligible for a scholarship of up to ₹10,000.

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?

1. Aadhar Card
2. DOB (in correct format and as per Aadhar Card - DD/MM/YYYY)
3. Resume
4. Graduation Marksheet and Degree (cross-verified with scores entered in the application portal)
5. 10th Marks (cross-verified)
6. 12th Marks (cross-verified)
7. Previous Experience Letter, Offer Letter, and Salary Slip
8. 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?

No. Programming knowledge is not mandatory, thought having programming knowledge is beneficial. Futurense provides a Bridge Course covering Python basics, prompt engineering, and AI tool usage to help bridge the gap before the actual course commencement

How is the teaching format structured for this hybrid program?

1. Live online sessions
2. 3-day IITM Pravartak Campus Immersion at IITM Pravartak 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 IITM Pravartak Campus Immersion is only 3 days 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. ₹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?

Projects include:

1. AI-based product concept design
2. Prototype creation with AI tools
3. User journey mapping with AI personalization
4. Building an AI-powered MVP

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

Key modules include:

1. Foundations of AI in product management
2. AI-driven UX & design thinking
3. Product lifecycle and roadmap building
4. Generative AI applications in product design
5. Multi-agent AI workflows
6. Go-to-market strategies

What is the significance of teaching multi-agent systems and agent collaboration in the program?

1. AI-based product concept design
2. Prototype creation with AI tools
3. User journey mapping with AI personalization
4. Building an AI-powered MVP

Who is the program coordinators, 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:

1. Masterclasses
2. Mentorship
3. 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:

1. Traditional AI: ML models for product insights & decision-making
2. Generative AI: Content creation, UX personalization, automated design prototyping
3. Agentic AI: Autonomous workflows, intelligent product systems

What tools and platforms are covered in this program?

1. ChatGPT, Claude, Gemini, Midjourney
2. Figma, Miro, Jira
3. Python-based AI libraries
4. Product analytics tools

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

It enables autonomous product features, decision-making, and adaptive workflows without constant human intervention — key for scalable AI-powered products.

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

Combines product thinking with AI technology integration, enabling engineers to transition into product thinking AI technology integration,product leadership roles.

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

By allowing customization of AI product applications for domains like fintech, edtech, e-commerce, and SaaS.

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

1. Traditional AI: Rule-based ML systems for predictions
2. Generative AI: AI that creates new content/designs
3. Agentic AI: AI agents that act autonomously and learn from feedback

How are agentic AI systems used across industries like healthcare, manufacturing, and telecom?

1. Healthcare: AI-driven patient assistants
2. Manufacturing: Autonomous supply chain optimization
3. Telecom: AI agents for customer service and network management

What job roles can participants expect to pursue after completing this program?

1. AI Product Manager
2. Product Designer (AI-focused)
3. Product Strategy Analyst
4. Innovation Manager – AI Solutions
5. GenAI Product Specialist
6. Business Analyst – AI Integration
7. UX Strategist with AI Expertise

How does having skills in generative AI and agentic AI impact salary and job prospects?

Professionals with these skills can command higher salaries(30–50% hike) and access leadership higher salaries roles in AI-driven product teams.

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

By training professionals to integrate generative and agentic AI directly into product features, strategy, and user experience.

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

It equips professionals with end-to-end AI product management skills — from concept to launch — end-to-end AI product management skills ensuring adaptability as AI tech evolves.

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

1. Projected market value: $1.3 trillion by 2032

2. 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 among the top global hubs for AI startups, with significant growth in GenAI funding.

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 as companies set up AI and GenAI labs in these 35%+ hiring surge regions

What is the Payment Schedule and Process?

1. Full fee payment of ₹84 thousand + GST must be completed within 5 days of receiving the offer letter
2. A non-refundable application deposit of ₹5,000 is required at the time of submission (adjusted in final fee)
3. 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:

1. PAN
2. Aadhar
3. Last 3 months’ bank statements


Income Documents

Last 3 months’ payslips

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