Program Highlights

Earn IITM Pravartak Certification + Masterclasses by Industry Experts

Explore real use cases across business and tech functions

Get hands-on with the latest GenAI tools and platforms

Be a part of the AI Clinic with guided projects and expert workshops

No Extensive Coding Experience Required

Flexible Format Built for Working Professionals

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 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.

Program Director

Mr. Arun Sreelalan Iyer

Visiting Professor for Digital Product Management and UI/UX at premier institutes

Mr. Arun Sreelalan Iyer is an accomplished Product Management professional with extensive experience across leading global organizations, including Microsoft, Ola, McKinsey, UiPath, and Bajaj Finserv. He currently heads Product Management at a Data Governance company, driving innovation and strategy in cutting-edge product ecosystems. He serves as a Visiting Professor for Digital Product Management and UI/UX at premier institutes such as IIM Calcutta, IIM Bangalore, IIM Trichy, IIIT Bangalore, among others, where he contributes to shaping the next generation of product leaders. Mr. Arun is also part of the Core Team at NASSCOM, where he leads initiatives under the Prime Minister’s Skill India Mission to advance Product Management capabilities across India and strengthen Industry–Academia collaboration.

The IIT Advantage

Experience Campus Immersion At IITM Pravartak Research Park

Certification From IITM Pravartak

Receive a Certificate of completion from IITM Pravartak,
recognizing your achievement.

in Just 7 Months

How You Go From Learning to Executing with AI

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 the 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
  • Conducting Compelling Negotiations
  • Program and Project Planning

AI Clinic

Through the Futurense AI Clinic, you’ll gain hands-on exposure to real enterprise-grade AI projects, from ideation to deployment.

Work on Live Projects

Solve real business challenges using GenAI, Agentic AI, and automation workflows.

Use Industry-Standard Tools

Hands-on with LangChain, CrewAI, Flowise, OpenAI APIs, Zapier, HubSpot, and more.

Collaborate with Experts

Guided by IIT faculty and industry mentors through each phase of your project.

End-to-End AI Execution

Build, test, and deploy intelligent workflows that simulate real-world problem solving.

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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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.

This Program is for

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 Questions

Duration: 75 minutes

Important Guidelines

Each section has its own pass criteria: you must score at least 40% in each area.

There is no sectional time limit; you may answer sections in any order.

Show all workings for coding or analytical questions where applicable.

No prior experience needed.

Software Engineers and Data Scientists

aiming to expand into product strategy and leadership.

Entrepreneurs and Startup Builders

creating AI-driven products from the ground up.

Business Analysts and Consultants

seeking to leverage AI for data-backed product decisions.

UI/UX Designers

looking to integrate AI-enhanced workflows into their design process.

Roles Thatʼll Be Looking for You

AI Product Leadership
Analytics & Insights
Marketing & Growth
Generative AI, Innovation & Systems
Customer Experience & Personalization
Role Now

Associate Product Manager

Salary

₹7-15 LPA

Role Upgraded

AI Product Manager

Earning Potential

₹18-33 LPA

Role Now

Customer Strategist

Salary

₹9-18 LPA

Role Upgraded

Product Strategist (AI/ML)

Earning Potential

₹18-27 LPA

Role Now

Product Analyst

Salary

₹9-15 LPA

Role Upgraded

AI Product Analyst

Earning Potential

₹18-35 LPA

Role Now

Business Analyst

Salary

₹9-15 LPA

Role Upgraded

AI-Driven Market Strategist

Earning Potential

₹15-30 LPA

Role Now

Strategy Consultant

Salary

₹6-9 LPA

Role Upgraded

AI Product Analyst

Earning Potential

₹12-20 LPA

Role Now

Data Analyst

Salary

₹6-12 LPA

Role Upgraded

Predictive Insights Specialist

Earning Potential

₹12-18 LPA

Role Now

Market Research Analyst

Salary

₹4-9 LPA

Role Upgraded

AI-Driven Market Strategist

Earning Potential

₹9-18 LPA

Role Now

Customer Intelligence Analyst

Salary

₹6-10 LPA

Role Upgraded

Behavioral Analytics Specialist (AI)

Earning Potential

₹12-20 LPA

Role Now

Digital Marketing Specialist

Salary

₹5-10 LPA

Role Upgraded

AI Content Orchestration Lead

Earning Potential

₹12-20 LPA

Role Now

Campaign Manager

Salary

₹6-12 LPA

Role Upgraded

Personalization Strategist (AI/ML)

Earning Potential

₹12-22 LPA

Role Now

CRM Specialist

Salary

₹5-9 LPA

Role Upgraded

Customer Lifecycle Manager

Earning Potential

₹12-25 LPA

Role Now

Content Strategist

Salary

₹6-10 LPA

Role Upgraded

AI Messaging & Segmentation Lead

Earning Potential

₹12-18 LPA

Role Now

Product Researcher

Salary

₹6-12 LPA

Role Upgraded

AI Innovation Consultant

Earning Potential

₹15-30 LPA

Role Now

Design Technologist

Salary

₹7-12 LPA

Role Upgraded

AI Systems Designer

Earning Potential

₹15-25 LPA

Role Now

Junior Prototyping Engineer

Salary

₹5-10 LPA

Role Upgraded

Generative Prototyping Specialist

Earning Potential

₹12-20 LPA

Role Now

Product Operations Associate

Salary

₹6-11 LPA

Role Upgraded

AI Product Ecosystem Lead

Earning Potential

₹15-28 LPA

Role Now

Customer Experience Associate

Salary

₹4-8 LPA

Role Upgraded

AI-Powered CX Designer

Earning Potential

₹12-20 LPA

Role Now

Retention Analyst

Salary

₹5-10 LPA

Role Upgraded

Predictive Engagement Specialist

Earning Potential

₹12-18 LPA

Role Now

CRM Analyst

Salary

₹6-11 LPA

Role Upgraded

Journey Optimization Strategist

Earning Potential

₹12-22 LPA

Role Now

Customer Insights Researcher

Salary

₹6-12 LPA

Role Upgraded

AI-Driven Segmentation Scientist

Earning Potential

₹14-30 LPA

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Career Assistance By Futurense

Young man studying math, writing notes with a pen while looking at a laptop screen displaying a right triangle and equations.

 Profile, Narrative & Resume Building

Craft a recruiter-ready identity with optimized resumes, LinkedIn profiles, and a strong career narrative.

Students seated at desks with laptops attending an online video conference featuring a man speaking.

Career-Specific Training

Develop job-ready skills with role-focused training, capability tests, AI tools workshops, and continuous upskilling to match real hiring expectations.

Two men sitting at a table in an office, reviewing documents and discussing work with a laptop and coffee cups nearby.

Futurense Job Board - Exclusive Opportunities

Access curated, pre-vetted roles before they hit public portals, with priority visibility for Futurense learners.

Two men reviewing a resume document together at a table in a modern office setting.

Interview Playbooks & Cheat Sheets

Get insider interview guidance with structured playbooks: FAQs, sample answers, frameworks, recruiter insights, and round-wise preparation.

Mock Interviews with Experts

Experience real interview simulations with personalized feedback from mentors, industry leaders, and FLC members.

Three young professionals enjoying coffee and snacks while collaborating around a laptop in a modern office.

Mentor Referrals & Networking

Unlock referral advantages, insider recommendations, alumni-driven opportunities, and FLC mentorship that accelerates your career entry.

Two men sitting across a wooden table in an office, one taking notes and the other using a laptop.

Salary Negotiation Support

Get guidance on positioning, benchmarking, negotiation strategy, and communication to secure the compensation you deserve.

Our students are acing it!

They are working at companies which are a dream for most

Fee Structure

Total Admission Fee

₹1,10,500

+ 18% GST
Apply Now
Program fee is subject to change from the next cohort.

EMI Starts From

₹7,847 to ₹27,533/month

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 ₹9,000.

Application Deadline

30th April, 2026

Admissions close once the required number of students is enrolled for the upcoming cohort. Apply early to secure your seat.

How it Works

Application Process

1

Submit Your Application

Fill in your details and share your interest in joining the program.

2

Clear the Qualifying Test

A short test designed to assess your product thinking, logical reasoning, and AI awareness.

3

Pay and Confirm Your Seat

Secure your spot in the upcoming cohort with flexible payment options

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

Dimension

This Programme

Other Programme

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

Feeling Underconfident About Your Tech Skills?

Kick things off with a 2-Week Bridge Course that gets you course-ready

Young man in a blue shirt resting his chin on his hand, looking thoughtfully upward.

What you'll learn:

Programming Foundations

Maths Refresher

GenAI, Agentic AI, and Prompt Engineering

Vibe Coding Workflows

Worth ₹29,000

Included free with your enrollment.

Led by the Futurense Leadership Council (FLC)

 A collective of CXOs, AI leaders, and digital transformation heads from global and Fortune 500 companies shaping the AI-native workforce.

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

A V Rahul

Director, Analytics, - Barracuda

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

A V Rahul

Director, Analytics, - Barracuda

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

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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?

The program is called the Advanced Certificate Program 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 program duration is 7 months, and the first cohort is tentatively scheduled to start on 8th August, 2026.

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

Early-career professionals interested in AI-driven product development
1. Product management aspirants and current product managers
2. Entrepreneurs and founders’ office members
3. Product strategists and professionals passionate about AI-powered products

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

You can apply through the official Futurense admission portal by filling out the online application form and submitting the required documents.

When will the application process to the program start?

The application process has already begun, and seats are limited.

Why is this program considered unique compared to other certificate programs in AI?

The program focuses on AI-powered product innovation, combining AI product design, product management, UX, and go-to-market strategy in a single curriculum with hands-on projects.

Is there a selection process?

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

What are the documents to be submitted for application?

1. Aadhaar Card
2. Date of Birth proof (as per Aadhaar)
3. Resume
4. Graduation marksheet and degree certificate
5. Class 10th and 12th mark sheets
6. Previous experience documents (offer letter, salary slip, experience letter)
7. NOC (if required)

Will there be any pre-screen exams for enrolling in the program?

Yes, applicants must clear a pre-screening exam as part of the admission process.

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

No. Coding experience is not mandatory, as the program focuses on AI product strategy and management.

What are the documents I should keep handy?

Applicants should keep PAN, Aadhar, and the last three months’ bank statements ready.

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

The program combines product thinking with AI technology integration, helping engineers transition into product leadership roles.

How is the teaching format structured for this hybrid program?

The program includes live online sessions along with a 3-day on-campus immersion at IITM Pravartak at the end of the program.

What if I can’t take 3 days of leave at a stretch from my office for the Campus Immersion?

The campus immersion is scheduled at the end of the program, allowing participants to plan in advance.

Will there be any additional cost for attending the optional 3-day IITM Pravartak campus immersion?

Yes, an additional ₹10,000 per candidate (tentative) will be collected by Futurense Technologies for the immersion.

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

Yes, accommodation will be arranged, subject to availability.

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

The program director provides academic and strategic guidance, ensuring the curriculum remains aligned with industry advancements and AI innovation.

What makes IITM Pravartak a trendsetter in technological education, particularly in AI and data science?

IITM Pravartak is associated with a globally ranked research institution and offers advanced AI research labs, innovation centers, and strong industry collaborations.

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

Industry leaders conduct live sessions, masterclasses, mentorship, and case studies, with around 50% of sessions taught by industry experts.

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 for predictive insights, Generative AI for content and design creation, and Agentic AI for autonomous workflows and intelligent systems.

What tools and platforms are covered in this program?

Participants learn tools such as ChatGPT, Claude, Gemini, Midjourney, Figma, Miro, Jira, Python-based AI libraries, and product analytics tools.

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

Agentic AI enables autonomous decision-making systems that can adapt and execute workflows without continuous human intervention.

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

Key modules include AI foundations in product management, AI-driven UX design, product lifecycle management, generative AI applications, multi-agent workflows, and go-to-market strategies.

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

Participants can apply AI product concepts to specific domains such as fintech, edtech, e-commerce, and SaaS.

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

Projects include AI-based product concept design, AI prototype creation, user journey mapping with AI personalization, and building an AI-powered MVP.

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

Multi-agent systems allow multiple intelligent agents to collaborate, enabling scalable AI features and complex automation.

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

Traditional AI focuses on predictive ML systems, generative AI creates new content and designs, and agentic AI involves autonomous agents capable of decision-making and learning from feedback.

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

Participants can pursue roles such as AI Product Manager, Product Designer (AI-focused), Product Strategy Analyst, Innovation Manager for AI solutions, GenAI Product Specialist, Business Analyst for AI integration, and 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 often command 30–50% higher salaries and access leadership 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.

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

The program prepares professionals to integrate generative and agentic AI into product features, strategy, and user experiences.

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

It equips learners with end-to-end AI product management skills, from concept to product launch.

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

Examples include AI patient assistants in healthcare, autonomous supply chain systems in manufacturing, and AI agents for telecom customer support and network management.

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

The generative AI market is projected to reach $1.3 trillion by 2032, with 74% of enterprises prioritizing adoption.

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

India ranks among the top global hubs for AI startups with strong growth in GenAI innovation and funding.

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

The program fee is ₹1,25,000 + 18% GST, with loan options and possible scholarships for deserving candidates.

What is the Payment Schedule and Process?

Applicants must pay a ₹5,000 non-refundable application deposit, and the remaining program fee must be paid within 5 days of receiving the offer letter.

Can I self-fund this program?

Yes, participants can self-fund fully or partially.

Does Futurense help with loans?

Yes, Futurense partners with financial institutions to offer loan options.

What is the interest rate on the loans?

Interest rates vary depending on the financial partner and repayment plan, but are described as competitive.

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