PG Certificate in GenAI, Agentic AI & Data Science for Enterprises
Redefine your role from Manager → AI Execution Specialist.
*Deserving candidates opting for upfront payment may be eligible for a scholarship up to ₹10,000
Start Date
November 1, 2025
Duration
7 months | 135+ Hours
Course Fee
₹1,25,000 + GST
Schedule
Weekend Sessions (2 hrs each on Sat & Sun)
Format
Hybrid (Live Online + Optional Campus Immersion)
Lead Enterprise AI Execution, End-to-End
This Program Shapes AI-First Enterprise Leaders!
The PG Certificate in GenAI, AgenticAI & Data Science for Enterprises is built with one urgent mission - to help today’s managers and functional leaders move beyond theory and become the execution specialists enterprises can trust.
About IIT Roorkee
Founded in 1847, IIT Roorkee stands as one of India’s most prestigious and historic institutions of technology. Known globally for academic excellence, cutting-edge research, and innovation, it has shaped leaders and pioneers across industries.
Through its Continuing Education Centre (CEC), IIT Roorkee delivers world-class executive programs that blend academic rigor with industry relevance, preparing professionals to thrive in the era of rapid technological transformation.
IIT Roorkee Faculty
Prof. Gaurav Dixit : Assistant Professor at DoMS, IIT Roorkee
He is joint faculty at the Mehta Family School of Data Science & AI, with expertise in digital transformation, deep learning, and enterprise AI adoption.
Traditional Training Falls Short. This Program Delivers Execution
Dimension
What This Program Delivers
Traditional Training Falls Short
This program is designed to take you from AI awareness to an execution specialist in just 7 months.
Module 1: AI for Enterprises
Module 1: AI for Enterprises
What is AI vs GenAI vs Agentic AI, enterprise use cases across functions, myths vs reality, adoption challenges
Module 2: Data Science for Managers
Module 2: Data Science for Managers
Data pipelines, visualization, decision-making with data
Module 3: Foundations of Deep Learning and NLP for Business
Module 3: Foundations of Deep Learning and NLP for Business
Basics of neural networks, embeddings, sequence models, language understanding
Module 4: Understanding transformer architecture
Module 4: Understanding transformer architecture
Attention mechanism, encoder-decoder basics, why transformers matter for GenA
Module 5: Foundations of GenAI
Module 5: Foundations of GenAI
LLM vs ML, agentic AI patterns, prompting basics
Module 6: GenAI Applications for Enterprises
Module 6: GenAI Applications for Enterprises
Functional applications across HR, Marketing, Finance, Supply Chain, Customer Ops; impact on workflows
Module 7: Prompt Engineering and Vibe Coding for Problem Solving
Module 7: Prompt Engineering and Vibe Coding for Problem Solving
Prompt structures (role/task/context), chain-of-thought, decision-tree prompts, scenario prompting, multi-turn refinement.
Module 8: Retrieval & RAG Systems
Module 8: Retrieval & RAG Systems
Vector DBs, embeddings, grounding enterprise knowledge
Module 9: Advanced AI Limitations & Adversarial Testing
Module 9: Advanced AI Limitations & Adversarial Testing
Bias sources, fine-tuning limits, adversarial prompts, jailbreaks, attack/defense
Module 10: LLMOps & Infra Primer
Module 10: LLMOps & Infra Primer
Cloud stacks (Azure, AWS, GCP), private endpoints, latency/cost basics
Module 11: Understanding Agentic AI
Module 11: Understanding Agentic AI
What is an agent, autonomy vs orchestration, where agents are valuable
Module 12: Building your First Agent
Module 12: Building your First Agent
Task decomposition, tools and APIs, feedback loops
Module 13: Understanding multi-agent orchestration
Module 13: Understanding multi-agent orchestration
Patterns of collaboration (planner-executor, debate, swarm), challenges of scaling agents
Module 14: Vendor Ecosystem & Stack Choices
Module 14: Vendor Ecosystem & Stack Choices
Hyperscalers vs startups vs OSS, build-vs-buy-vs-integrate, vendor lock-in, RFP cost modeling
Module 15: Managing an AI Tranformation Project
Module 15: Managing an AI Tranformation Project
Cross-function scenarios; triaging frameworks
Module 16: Redesigning Business Processes for Agentic AI
Module 16: Redesigning Business Processes for Agentic AI
Breaking Down Workflows for AgenticAI; Conducting Process Redesign for AI-First Workflows
Module 17: Implementing AI Agents: Workflow Redesign with Agents
Module 17: Implementing AI Agents: Workflow Redesign with Agents
Automation vs augmentation; guardrails & handoffs
Module 18: Functional Industry Use Cases
Module 18: Functional Industry Use Cases
Customer Ops, Marketing, Finance, HR, Supply Chain, Healthcare, BFSI
Module 19: Redesigning Business Metrics & KPIs
Module 19: Redesigning Business Metrics & KPIs
Cycle time, error reduction, adoption KPIs, ROI metrics
Module 20: Pitching for Funding & Influence
Module 20: Pitching for Funding & Influence
ROI storytelling, CFO narrative, exec persuasion
Module 21: Building a Team for AI Implementation and Change Leadership
Module 21: Building a Team for AI Implementation and Change Leadership
Overcoming fear/resistance, adoption playbooks, training design
Module 22: Planning for Data Readiness & Access
Module 22: Planning for Data Readiness & Access
Silos, compliance, permissions, privacy
Module 23: Implementing Integration & IT Alignment
Module 23: Implementing Integration & IT Alignment
ERP/CRM/HRIS APIs, IT buy-in, shadow IT risks
Module 24: Planning for Performance & Reliability Pitfalls
Module 24: Planning for Performance & Reliability Pitfalls
Latency, inconsistency, model drift, monitoring gaps
Module 25: Managing Cost & Budget Management
Module 25: Managing Cost & Budget Management
Token economics, infra bills, RFP cost modeling
Module 26: Planning for Risk, Compliance & Trust
Module 26: Planning for Risk, Compliance & Trust
EU AI Act, India DPDP, NIST, auditability, copyright/IP, bias/fairness
Module 27: Scaling, Governance & Sustainability
Module 27: Scaling, Governance & Sustainability
From pilot → scale, MLOps/LLMOps, model lifecycle, CoEs, federated champions, governance boards
Module 28: Capstone: Pilot-to-Pitch
Module 28: Capstone: Pilot-to-Pitch
Teams build pilot, ROI model, risk binder, adoption plan, funding deck
Capstone (Final Weeks): Pilot-to-Pitch Project
Capstone (Final Weeks): Pilot-to-Pitch Project
Teams build pilot concept, ROI deck, adoption plan
By the End, You’ll Be Able to Do All This
While mastering 30+ tools
Inside India’s First Enterprise AI Clinic
Welcome to the AI Clinic
Where managers stop presenting AI slides… and start executing pilots.
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 (3-4 years) in any discipline (BSc, BTech, BCom, BA) with minimum 50% marks.
Work Experience
Preferably 2+ years of professional experience. However, managers and professionals across functions are encouraged; freshers with strong analytical & problem-solving skills may also apply.
Freshers Welcome
Qualified freshers can fast-track their careers with the Bridge Course on AI & GenAI fundamentals, prompt engineering, and no-code agents.
Prior Knowledge
Programming isn’t mandatory. What matters is digital fluency, process thinking, and cross-functional project exposure.
Selection Process
All applicants must clear a pre-screening test assessing problem-solving, digital fluency, and AI basics.
Functional Heads & Middle Managers
driving outcomes in HR, Finance, Marketing, Operations, or Supply Chain.
Team Leaders & Consultants
leading GenAI/AgenticAI transformations for clients or internal units.
Techno-Managerial Professionals
bridging strategy with AI execution and workflow redesign.
Business & Functional Analysts
who want to deliver measurable ROI with AI pilots.
Non-Tech Professionals
eager to become AI Execution Specialists in their own domain.
Fresh Graduates
with strong analytical and problem-solving skills, ready to fast-track their careers.
Qualifying Test
All applicants must clear a readiness qualifying test to join the program.This ensures every learner meets IIT Roorkee’s academic and professional benchmarks before admission.
What You’ll Be Tested On
Important Guidelines
- 1-hour online test
- Mix of multiple-choice + scenario-based questions
- No prior programming required, focus is on problem-solving, not coding
Want to Brush Up on AI Before You Start?
We’ve Got You Covered!
Begin your journey with the Futurense Bridge Course, included free with enrollment, designed to make you AI execution-ready from Day 1.
Key Highlights:
- AI, GenAI & AgenticAI Fundamentals - Understand the essentials of enterprise AI adoption and where these technologies fit into workflows.
- Prompt Engineering Basics - Learn how to write prompts that deliver real, function-specific outcomes.
- No-Code Agent Building Primer - Design your first working AI agent with simple, intuitive tools.
- Vibe Coding (Low/No-Code) - Explore rapid testing & validation methods without deep programming.
- Execution-First Focus - Build clarity, confidence, and fluency so you can lead AI pilots in your function.
Worth ₹29,000 — included free with your enrollment.
Roles Thatʼll Be Looking for You
AI Execution Analyst
₹10 – 15 LPA
AI Adoption Specialist
₹12 – 18 LPA
ROI & KPI Analyst
₹10 – 16 LPA
AI-Enabled Customer Experience Associate
₹12 – 20 LPA
AI Execution Specialist in Function
₹15 – 25 LPA
AI Transformation Program Manager
₹18 – 30 LPA
AI Workflow Redesign Specialist
₹12 – 20 LPA
AI-Augmented Product/Process Owner
₹15 – 28 LPA
Your Roadmap to Leading Enterprise AI Adoption
Step 1
Apply Online
Submit your application with academic and professional details.
Step 2
Qualifying Test
Clear a short test designed to check your readiness in problem-solving, digital fluency, and AI basics.
Step 3
Secure Your Seat
Confirm enrollment and get your official offer letter.
Step 4
Bridge Course
Get up to speed with AI & GenAI fundamentals, prompt engineering, and no-code agent building.
Step 5
Begin Live Weekend Sessions
Engage in interactive classes led by CEC, IIT Roorkee faculty, and industry mentors, with hands-on labs every week.
Step 6
Hands-On Labs & Case Studies
Scope pilots, build no-code agents, redesign workflows, and test adoption playbooks, tailored to your function.
Step 7
Capstone Project
Deliver a full AI execution pilot, including an agent, workflow redesign, and ROI pitch, reviewed by IIT faculty and enterprise mentors.
Step 8
Optional Campus Immersion
Join a 2-day optional Campus Immersion at CEC, IIT Roorkee, to network, collaborate, and present your project in a boardroom-style setting.
Fee Structure
Upfront Payment
EMI Plan (via NBFC Partners)
Application Token
Bridge Course Fee
Certification Fee
Total
1. 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.
2. *An additional mandatory, non-refundable fee of ₹10,000 + 18% GST will be collected by Futurense Technologies for lab access and certifications. This fee is applicable to all enrolled students.
3. An additional ₹10,000 will be applicable if you opt for the Campus Immersion (optional).
4. Deserving candidates opting for the upfront payment plan may be eligible for a scholarship of up to ₹15,000.
*The 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)
CXOs, AI leaders, and transformation specialists from the world’s top enterprises will guide you to become an AI Execution Specialist who can drive adoption, governance, and ROI inside organizations.
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
Ready to Drive AI Execution Inside Your Enterprise?
Whether you’re a manager protecting your relevance or a leader aiming to scale adoption… if you’re ready to deliver pilots, prove ROI, and lead AI transformation, this is your moment.
Frequently Asked Questions
We know you might have some questions before getting started in our platform
What is the name of the certificate program, and which IIT offers it?
The program is called PG Certificate Program in GenAI, Agentic AI, and Data Science for Enterprises offered by the Continuing Education Centre (CEC), IIT Roorkee.
What is the duration of the program, and when does the first cohort begin?
The duration is 7 months (90+ hours). Batch commerce on 1st November, 2025
What are the eligibility criteria for this program, and who should ideally enroll?
Minimum 50% in graduation (3–4 year degree: BSc, BTech, BCom, BA). Preferred: 2+ years of work
experience, though qualified freshers may also apply. Must clear the pre-screen exam. Awareness of AI tools and tech stack is expected; programming experience is an added advantage but not mandatory.
How can I apply to the PG Certificate Program in GenAI, Agentic AI, and Data Science for Enterprises?
Click on Apply now and fill form
When will the application process to the program start?
The application process for IIT Roorkee’s PG Certificate Program has already begun.
What is the program's fee, and what financing options are available?
1. Program Fee: ₹1,25,000 + GST
2. Campus Immersion (Optional): ₹10,000 + Taxes
3. Scholarship: Up to ₹10,000 for deserving candidates opting for upfront payment
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?
While the exact list is not provided for this program, similar IIT Roorkee programs typically require:
1. Application form
2. ID proof
3. Educational certificates (Class 10th, 12th, Graduation)
4. Work experience certificates (if applicable)
5. Passport-size photograph
Note: The same may apply unless otherwise stated
Will there be any pre-screen exams for enrolling in the Program?
Yes, a short test to assess problem-solving, digital fluency, and AI basics
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?
Hybrid format: Live weekend sessions (2 hours each on Saturdays & Sundays) + optional 2-day campus immersion at IIT Roorkee
What if I can t take 2-day of leave at a stretch from my office for the Campus Immersion?
The Campus immersion is optional, so attendance is not mandatory.
Will there be any additional cost for attending the optional 2-day CEC IITRoorkee campus immersion?
Yes. The campus immersion cost is ₹10,000 + taxes.
Will hostel accommodation be provided for outstation candidates from different states during immersion?
Hostel accommodation may be provided either on campus or off campus, depending on the availability of facilities.
What are some practical projects or hands-on learning outcomes included in the course?
1. Build no-code AI agents & RAG bots
2. ROI dashboards & KPI storytelling
3. Enterprise workflow redesigns
4. Capstone: End-to-end enterprise AI pilot reviewed by IIT faculty & mentors
What are the key modules in the program, starting from traditional AI to building multi-agent systems?
1. AI for Enterprises
2. Data Science for Managers
3. Deep Learning & NLP foundations
4. GenAI & Prompt Engineering
5. RAG Systems
6. Agent building & multi-agent orchestration
7. Governance, compliance, transformation projects
8. Capstone: Pilot-to-Pitch
Who is the program coordinators, and why is their expertise significant?
Prof. Gaurav Dixit | Assistant Professor at DoMS, IIT Roorkee
He is joint faculty at the Mehta Family School of Data Science & AI, with expertise in digital transformation, deep learning, and enterprise AI adoption.
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 curriculum covers:
1. Traditional AI & data pipelines
2. GenAI (LLMs, prompting, embeddings, RAG systems)
3. Agentic AI (agents, multi-agent orchestration, workflows)
4. Governance, compliance, and scaling
What tools and platforms are covered in this program?
The curriculum covers:
1. LangChain, Zapier, Hugging Face, spaCy, Looker Studio AI
2. API testing & integrations
3. PyCryptodome (security)
4. AI-powered collaboration, workflow, visualization & automation platforms
Why is agentic AI called the next big thing in AI technology?
Agentic AI allows systems to make decisions, learn from feedback, and autonomously execute tasks, which is critical for real time security, dynamic response, and continues lerning in cybersecurity operations.
What makes this certificate program particularly suitable for engineers and tech professionals?
It bridges strategy and execution, emphasizes workflow redesign, ROI measurement, and compliance skills engineers and techno-managers need for enterprise AI adoption.
How does the program enable participants to specialize in their specific engineering domains?
By offering in HR, functional labs, enterprise-specific pilots, and domain-focused modules in HR, Finance, Marketing, Supply Chain, Healthcare, and BFSI
What is the difference between traditional AI, generative AI, and agentic AI?
1. Traditional AI: Uses structured data for fixed tasks.
2. Generative AI: Creates text, images, code (e.g., ChatGPT, Claude)
3. Agentic AI: Autonomous agents that make decisions, adapt, and operate independently.
How are agentic AI systems used across industries like healthcare, manufacturing, and telecom?
1. Healthcare: Automates diagnosis and treatment recommendations.
2. Manufacturing: Enables process optimization and predictive maintenance.
3. Telecom: Powers AI-driven customer support and network optimization.
What job roles can participants expect to pursue after completing this program?
1. AI Execution Specialist (₹15–25 LPA)
2. AI Workflow Redesign Specialist (₹12–20 LPA)
3. AI Transformation Program Manager (₹18–30 LPA)
4. AI Adoption & ROI Analyst (₹10 18 LPA)
5. AI-Augmented Product/Process Owner (₹15–28 LPA)
How does having skills in generative AI and agentic AI impact salary and job prospects?
Professionals with GenAI and Agentic AI skills see:
1. 40–60% salary hikes
2. Entry-level packages from ₹6–12 LPA
3. Roles paying up to 35+LPA in metro cities and GCCs
How does this program align with the rapid adoption of generative AI by companies like Infosys, TCS, and startups?
1. Companies are establishing GenAI labs and AI agents in both metros and tier-2 cities
2. The program prepares professionals to meet rising demand for AI-literate marketers in sectors like e-commerce, SaaS, fintech, and edtech
Why will this certification future-proof their careers in a rapidly evolving market?
1. Designed from scratch for GenAI-native cybersecurity
2. Includes hands-on AI defense, compliance, and red-teaming
3. Equips learners to not build, just operate, next-gen security systems
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 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?
1. Full fee payment of ₹1.25 lakhs + GST must be completed within 5 days of receiving the offer letter
2. A non-refundable initial deposit of INR 5,000/- must be paid at the time of application submission, which will be adjusted against the total program fee.
3. Loan candidates may have different payment processes.
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