Program Highlights

End-to-End AI Marketing Campaign Design & Execution

Master 15+ GenAI and Agentic Tools, including CrewAI and n8n

Live Capstone Defended Before IIT KGP Faculty and Industry Panel

No-Code MarTech Stack Architecture for Real Campaigns

IIT KGP Executive Alumni Status from India's First IIT

6 Exclusive AI Clinic Workshops Beyond the Core Curriculum

About IIT Kharagpur

Established in 1951, IIT Kharagpur is India’s first Indian Institute of Technology and a pioneer of technical education, research, and innovation in the country. Over the decades, it has set the benchmark for engineering excellence, academic rigor, and industry relevance, shaping generations of leaders, technologists, and innovators.

IIT Kharagpur is globally recognized for its cutting-edge research, strong industry collaboration, and interdisciplinary approach to solving complex real-world problems. The institute consistently drives innovation across domains such as electronics, semiconductor technology, computer science, manufacturing, and applied sciences, contributing significantly to India’s technological and economic growth.

Our Program Directors

Prof. Srabanti Mukherjee

Program Director, Associate Professor, Marketing, VGSOM, IIT Kharagpur

Prof. Mukherjee's expertise spans consumer behaviour, brand management, and marketing research. Her work on decision-making and brand strategy anchors the program's foundational modules. She ensures that every AI application in this curriculum is grounded in proven marketing science.

Prof. Biplab Datta

Program Director, Associate Professor, Marketing & Leadership, VGSOM, IIT Kharagpur

With specialisation in service quality, CRM, social media, eWOM, and AI-powered lead management, Prof. Datta shapes the program's automation and relationship marketing curriculum. He brings the rare ability to connect academic marketing theory directly to AI-era execution.

Our Industry Faculty

Prof. Swagato Chatterjee

Senior Lecturer, Digital Marketing & Analytics, Queen Mary University of London, B.Tech, IIT KGP · PhD, IIM Bangalore. Specialisation: Marketing mix modelling, text mining, analytics

Prof. Atanu Ghosh

Founder & CEO, Bluebeaks Solutions | Visiting Faculty, IIT KGP, IIM Calcutta, XLRI Ex-Director IBM · Ex-Principal PwC Specialisation: Digital transformation, e-commerce strategy

Praveen Satyadev

VP, Analytics, AI & CDP Practice Lead, Course5 Intelligence (C5i) Ex-Autodesk, eClerx Specialisation: AI-driven customer segmentation, CDP, digital analytics

Zubin Kutar

Founder, AI Fluency Labs | Ex-Head AI Digital Marketing, Mahindra Holidays, 20+ years across ICICI, HDFC, Dr. Reddy's, TCS Specialisation: AI marketing workflows for enterprises

The IIT Advantage

Experience Campus Immersion At IIT Kharagpur

Certification From IIT Kharagpur

Receive an IIT Kharagpur Certificate of Completion and an Executive Alumni Status, recognizing your achievement.

in Just 8 Months

How You Go From Learning to Orchestrating

Module 1: AI-Native Marketing Strategy | 14 hrs

Consumer psychology: cognitive biases and decision triggers in the AI era

STP framework: segmentation, targeting, and positioning with AI-assisted data

Brand positioning: frameworks, perceptual mapping, competitive landscape analysis

Integrated Marketing Communication (IMC) design for AI-native campaigns

AI strategy frameworks: where to automate, where to stay human

Building a full marketing strategy brief using AI tools

Module 2: AI-Powered Brand & Website Design | 10 hrs

Brand identity design principles in the generative AI era

Using AI tools for logo, visual identity, and mood board creation

Website architecture and UX fundamentals for conversion

AI-assisted copywriting for landing pages and brand messaging

A/B testing creative assets with AI feedback loops

Building brand voice frameworks with guardrails using Claude and ChatGPT

Module 3: Social Media Marketing & Community | 10 hrs

Social media algorithms: how they work and how AI is changing them

AI-native content formats for Instagram, LinkedIn, YouTube, and X

Content calendar design and scheduling with automation tools

Community building: engagement strategies beyond broadcast

Influencer marketing: discovery, contracts, ROI measurement, and AI vetting

Social listening with AI: tracking sentiment, trends, and competitor moves

Module 4: SEO, GEO & AI Search Optimisation | 12 hrs

Technical SEO: crawlability, Core Web Vitals, schema markup

On-page SEO: E-E-A-T, topical authority, and content cluster strategy

Generative Engine Optimisation (GEO): optimising for AI-generated answer inclusion

Voice search and conversational query optimisation

Off-page SEO: link building and digital PR strategy

AI search platforms: how Perplexity, ChatGPT Search, and Google SGE rank content

Keyword research and content gap analysis using AI tools

Module 5: Performance Marketing with AI | 12 hrs

Google Ads: Search, Performance Max, and Demand Gen campaign types

Meta Ads: Advantage+ campaigns, creative testing, and audience automation

Programmatic advertising: DSPs, real-time bidding, and audience segments

Attribution models: last-click, multi-touch attribution (MTA), and MMM overview

AI-powered bidding: Smart Bidding strategies and automated rules

ROAS optimisation: signals, levers, and what the algorithm responds to

Creative fatigue detection and AI-assisted ad refresh workflows

Module 6: Content Strategy & AI Content Systems | 12 hrs

Content strategy: pillar pages, buyer journey mapping, and topic architecture

GenAI content generation: using ChatGPT, Claude, and Jasper for long and short form

Brand voice systems: building AI prompts that produce on-brand output consistently

Video scripting and repurposing with AI tools

Influencer content strategy: briefing, approval, and performance tracking

Content ethics: hallucination risk, bias detection, and brand safety protocols

Module 7: Marketing Analytics & Experimentation | 14 hrs

GA4 deep dive: events, audiences, conversion paths, and custom reporting

Looker Studio: building dashboards that communicate results to leadership

A/B and multivariate testing: design, statistical significance, and common pitfalls

Marketing Mix Modelling (MMM): principles, interpretation, and business application

Cohort and funnel analysis: retention mapping and drop-off diagnosis

AI-assisted analytics: using ChatGPT to interpret data and generate hypotheses

Attribution strategy: choosing the right model for your business and channel mix

Module 8: CRM, CDP & Marketing Automation | 10 hrs

CRM foundations: pipeline management, lifecycle stages, and data hygiene

HubSpot CRM: setup, workflows, lead scoring, and reporting

CDP vs CRM vs DMP: differences, use cases, and when to use each

Lead scoring models: rule-based and AI-predictive approaches

Email automation: sequences, triggers, personalisation, and deliverability

DPDP Act 2023: consent management, data residency, and compliance basics

Building a full lifecycle automation workflow from lead capture to conversion

Module 9: MarTech Stack Architecture | 10 hrs

Stack architecture principles: what to connect, what to skip, and how to evaluate vendors

API integrations: webhooks, REST, and OAuth basics, all no-code

No-code orchestration: n8n, Make, and Zapier for marketing automation

Data flow design: how data moves between your CRM, CDP, ad platforms, and analytics

Tag management: Google Tag Manager setup and event tracking architecture

Building a full MarTech stack map for a real or simulated brand

Module 10: GenAI for Marketing at Scale | 8 hrs

LLM APIs: OpenAI, Claude, and Gemini, calls, parameters, and practical use

Advanced prompting: meta-prompts, structured output, and guardrail design

Retrieval-Augmented Generation (RAG) for marketing: brand knowledge bases and content retrieval

Multimodal AI: image generation for ads, audio for branded content, and video briefs

AI content ethics: hallucination risk, bias, and brand safety frameworks

Building a content-at-scale system: from brief to published output using AI pipelines

Module 11: Agentic AI for Marketing Operations | 12 hrs

Agent fundamentals: tools, memory, planning, and the ReAct loop explained simply

LangChain agents: how they work and how to configure them for marketing tasks

CrewAI: multi-agent systems with role assignment, task handoffs, and collaboration

Building a marketing research agent: competitor monitoring and trend summarisation

Building a content agent: brief intake, draft generation, and brand voice checking

Building a reporting bot: pulling campaign data and generating weekly summaries

Agent deployment and monitoring: error handling, logging, and performance tracking

Module 12: E-Commerce, D2C & Growth Marketing | 8 hrs

E-commerce marketing: Amazon and Flipkart ad products, A+ content, and seller strategy

D2C full funnel: acquisition, activation, retention, and referral, end-to-end

Conversion Rate Optimisation (CRO): heatmaps, session recording, and A/B testing

Quick commerce: how Blinkit, Zepto, and Swiggy Instamart change D2C strategy

Growth hacking frameworks: AARRR model and AI-assisted experimentation

Unit economics: CAC, LTV, payback period, and what a healthy D2C model looks like

Module 13: B2B Marketing, ABM & Revenue Ops | 8 hrs

ABM fundamentals: 1-to-1, 1-to-few, and 1-to-many tier strategy

LinkedIn Ads for B2B: targeting, lead gen forms, and content sequencing

Intent data: how to identify in-market accounts and prioritise outreach

Sales and marketing alignment: shared pipeline, SLAs, and handoff design

Revenue Operations: aligning marketing, sales, and customer success pipelines

AI tools for B2B: Apollo, Clay, and AI-assisted outbound personalisation

ABM campaign design: from account list to multi-channel execution to pipeline measurement

Capstone: Live AI Marketing Campaign | 10 hrs

This is not a presentation. It is a defence. You design, build, and deploy a full AI marketing strategy for a real or simulated brand, covering channel strategy, MarTech stack design, content system, performance framework, and AI automation. Presented live to an IIT KGP faculty panel and an industry jury.

The Projects You Build Here Are What You Talk About in Every Interview for the Next Five Years.

Every project ships. Not just completes. Ships.

AI-Driven Full-Funnel Campaign Strategy for a D2C Brand

Multi-Agent Research & Content Scheduling Bot using CrewAI and n8n

MarTech Stack Design: CRM–CDP–Automation Integration with n8n

Marketing Mix Modelling Dashboard with AI-Assisted Interpretation

GEO-Optimised Content System for AI Search Visibility

Generative AI Brand Voice Framework with Guardrails and Safety Filters

ABM Campaign with Intent Data and LinkedIn Targeting

Attribution Model Comparison across Last-Click, MTA, and MMM

AI Clinic

Beyond the core curriculum, 6 dedicated hands-on sessions where you stop watching demos and start building.

Work on Live Projects

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

Use Industry-Standard Tools

Hands-on with ChatGPT, Claude, Gemini, Jasper, CrewAI, LangChain, n8n, Make, Canva AI, Midjourney, and Perplexity.

Collaborate with Experts

Guided by IIT KGP 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 industry standard tools

GenAI Platforms
Agentic AI
MarTech Stack
Performance & Ads
No-Code Automation
Analytics
Next
Next

By The End, You’ll Be Able To Do All This

Design AI-Native Marketing Systems

Engineer end-to-end marketing workflows instead of running disconnected campaigns.

Orchestrate the Full Funnel

Connect CRM, CDP, automation, analytics, and GenAI tools into one performance system.

Build No-Code MarTech Stacks

Create scalable growth systems using HubSpot, n8n, Make, Segment, and AI tools.

Run GenAI-Powered Campaigns

Design, launch, and optimise AI-assisted content, ads, and funnels, not just generate copy.

Deploy Agentic AI Workflows

Build multi-agent systems for research, content, and reporting using CrewAI and LangChain.

Optimise for AI Search

Master GEO and ensure your content ranks inside AI-generated answers, not just blue links.

Execute B2B & D2C Strategies

Apply the right framework for ABM, e-commerce, quick commerce, and growth marketing.

Measure ROI with AI

Track attribution, MMM, and cohort performance using AI-enabled analytics frameworks.

Graduate with a Portfolio

Showcase 8+ recruiter-ready projects of AI-orchestrated campaigns and marketing systems.

This Program is for

Fresh Graduates / Final-Year Students

Graduate from a recognised university with a minimum 50%. Basic familiarity with marketing or digital tools recommended. No work experience is mandatory. Exceptional freshers considered.

Working Professionals

1-5 years of relevant experience preferred. Graduate with a minimum 50%. Marketing, analytics, content, or digital backgrounds preferred, but candidates from any field who can demonstrate marketing curiosity are considered.
No technical background required. No coding knowledge required.

Work Experience

Currently in 4th Year of BTech/UG program/ PG student/ Graduated Fresher / Working Professional.

Learning Support

A pre-program Bridge Course ensures all learners are technically aligned and Day-1 ready, covering core marketing fundamentals.

Qualifying Test

Short aptitude-based qualifying test (technical aptitude test)

Qualifying Assessment

What You’ll Be Tested On

Logical Reasoning

Quantitative Aptitude

Digital & AI Awareness

Marketing Fundamentals

Applied Scenario (Situational Judgment)

Duration: 60 minutes

Important Guidelines

Online, aptitude-based, attempted only once

Use the latest Chrome / Firefox on a desktop or a laptop

Test access is provided only after completing registration

E-Commerce & D2C

For professionals driving growth on Amazon, Flipkart, or direct-to-consumer brands using AI-powered funnels

BFSI & Enterprise

For marketers in banking, fintech, and large enterprises rebuilding their growth engine around AI and automation

Digital & Performance

For performance marketers who want to move from manual optimisation to AI-driven campaign orchestration

B2B & SaaS

For professionals in B2B or SaaS who want to master ABM, intent data, and revenue operations with AI.

Roles Thatʼll Be Looking for You

Digital Marketing
MarTech, CRM & Automation
Content, Social & GenAI
Analytics, Growth & B2B
Role Now

Digital Marketing Executive

Salary

₹4-7 LPA

Role Upgraded

AI Marketing Automation Specialist

Earning Potential

₹12-20+ LPA

Role Now

Performance Marketing Associate

Salary

₹5-9 LPA

Role Upgraded

AI Performance Optimisation Manager

Earning Potential

₹14-22+ LPA

Role Now

SEO / SEM Analyst

Salary

₹4-8 LPA

Role Upgraded

AI-Driven Growth & GEO Manager

Earning Potential

₹15-26+ LPA

Role Now

Campaign Manager

Salary

₹6-10 LPA

Role Upgraded

AI Workflow Orchestration Manager

Earning Potential

₹15-25+ LPA

Role Now

CRM Associate

Salary

₹5-8 LPA

Role Upgraded

Marketing Automation Manager (AI/ML)

Earning Potential

₹16-24+ LPA

Role Now

Marketing Ops Executive

Salary

₹5-9 LPA

Role Upgraded

MarTech Stack Architect

Earning Potential

₹15-25+ LPA

Role Now

Email Marketing Executive

Salary

₹4-6.5 LPA

Role Upgraded

AI Lifecycle Marketing Manager

Earning Potential

₹15-20+ LPA

Role Now

Data Analyst (Marketing)

Salary

₹6-10 LPA

Role Upgraded

CDP & AI Personalisation Manager

Earning Potential

₹16-25+ LPA

Role Now

Content Writer

Salary

₹3-6 LPA

Role Upgraded

GenAI Content Strategist

Earning Potential

₹12-18+ LPA

Role Now

Social Media Executive

Salary

₹4-7 LPA

Role Upgraded

AI Social Content Architect

Earning Potential

₹12-20+ LPA

Role Now

Brand Associate

Salary

₹4-8 LPA

Role Upgraded

AI Brand & Content Experience Manager

Earning Potential

₹15-25+ LPA

Role Now

Video / Design Assistant

Salary

₹3-5 LPA

Role Upgraded

AI Creative Automation Specialist

Earning Potential

₹12-22+ LPA

Role Now

Growth Associate

Salary

₹5-9 LPA

Role Upgraded

AI Growth & Funnel Optimisation Manager

Earning Potential

₹15-25+ LPA

Role Now

Business Analyst (Marketing)

Salary

₹5-8 LPA

Role Upgraded

AI Revenue Operations Manager

Earning Potential

₹16-28+ LPA

Role Now

Product Marketing Associate

Salary

₹6-10 LPA

Role Upgraded

AI Product Marketing Manager

Earning Potential

₹16-28+ LPA

Role Now

B2B Marketing Executive

Salary

₹5-9 LPA

Role Upgraded

ABM & Intent-Driven Growth Lead

Earning Potential

₹16-26+ LPA

Next
Next

Career Assistance

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.

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

Interview Playbooks & Cheat Sheets

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

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

Mock Interviews with Experts

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

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

₹1,25,000

+18% GST
Apply Now
ComponentAmount (₹)
Program Fee₹1,20,000
GST (18%)As applicable
Registration Fee (Non-Refundable)*₹5,000 (Adjusted in Program Fee)
Bridge Courses (4 included)Free - worth ₹29,000
Meta Certification VoucherIncluded at no additional cost
Total Payable₹1,25,000 + 18% GST

The registration fee of ₹5,000 is a one-time, non-refundable application processing fee, adjusted against the total program fee.

Payment of the registration fee is required at the time of application submission.

EMI Options: 6, 9, 12, and 24-month tenures available. Approximately ₹6,000/month over 24 months. Payment Partners: Propelld, Avanse, Northern Arc, and more. Payment Modes: UPI · Netbanking · Credit/Debit Cards

If a participant withdraws before the program start date, the program fee will be refunded, excluding:
Registration fee, GST, Any applicable subvention or processing charges.
No refunds are applicable once the program has commenced.

Optional 2-Day Campus Immersion at IIT Kharagpur may be offered at an additional cost (subject to actuals).

Travel, boarding, and lodging expenses for campus immersion (if opted) will be borne by the participant.

Application Deadline

15th June, 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

Apply online with your basic details and pay the ₹5,000 non-refundable registration fee to complete your application.

2

Pre-Screening Test

Take a pre-screening test to assess your technical readiness and suitability for the MarTech program.

3

Offer & Begin Your Learning Journey

Receive your offer letter, complete the fee payment, and get immediate access to the Futurense Bridge Course before classes begin.

Traditional VLSI Programs vs. IIT Kharagpur’s AI-Enabled VLSI Design

Dimension

This Programme

Other Programme

Core Philosophy
Engineering AI-native marketing workflows
Marketing with AI add-ons
Curriculum Style
AI-first - business layered on top
Business-first - AI follows later
Tool Exposure
Used to design, deploy, and optimise live campaigns
Taught - not built with
GenAI & Prompting
Hands-on prompt labs across 15+ tools and 6 AI Clinic workshops
Introduced conceptually
MarTech Architecture
Architect full CRM–CDP–automation stacks from scratch
Touched briefly, tool-focused
Agentic AI
Build multi-agent systems with CrewAI and LangChain, no coding required
Rarely covered
Capstone Format
Real AI marketing campaign defended live before the IIT KGP faculty and industry jury
Report or deck
IIT Credential
Executive PG Certificate from India's first IIT - IIT Kharagpur, Ranked #3 NIRF 2025
Certificate from lesser-ranked or private institutions
Learning Outcome
Build autonomous AI marketing workflows
Understand AI marketing trends
Career Support
Placement drives, mock interviews, offer negotiation, and company introductions
Guest lectures

Feeling Underconfident About Your 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 Fundamentals - Understand the logic behind automation, analytics, and AI workflows. No coding required.

GenAI, Agentic AI & Prompt Engineering - Write high-impact prompts for ChatGPT, Claude, and Jasper. The core skill every AI marketer needs.

Vibe Coding Workflows - Use Make, Zapier, and AI app builders to wire marketing automations without writing a single line of code.

Math Refresher - Build confidence with the analytical foundations that underpin attribution models, A/B testing, and MMM.

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

form bg-gradient blur

Build AI Marketing Systems That Work. Not Just Campaigns That Launch.

Whether you're just starting out or scaling up, if you're ready to build the future of marketing, 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 certification program, and which IIT offers it?

The program is called the Executive Post Graduate Certification in AI-Enabled VLSI Design and it is offered by the Indian Institute of Technology Kharagpur (IIT Kharagpur).

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

The program duration is approximately 8 months, with the next cohort tentatively scheduled to begin in June 2026.

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

Criteria:
1. B.Tech/M.Tech or B.E/M.E (final-year students or graduates).
2. Acceptable disciplines include Electronics, ECE, Electrical Engineering, VLSI, Instrumentation, Computer Science, and IT.
3. M.Sc. in Electronics, Physics, or Semiconductor Technology, or MCA is also accepted.
4. Minimum 50% aggregate marks or equivalent CGPA from a recognized university.


Ideal Candidates:1. 4th-year engineering students interested in VLSI design.
2. Fresh graduates looking to start a career in semiconductor and chip design.
3. Working professionals seeking to transition into VLSI roles.
4. Candidates from other engineering backgrounds with exposure to digital electronics, HDL, embedded systems, or semiconductor fundamentals.

How can I apply to the Executive Post Graduate Certification in AI-Enabled VLSI Design?

Applicants can apply online by completing the application form and submitting their personal, educational, and professional details along with the required documents.

When will the application process for the program start?

The application process has already begun, and candidates can apply while seats are still available.

Is there a selection process?

Yes. The selection process involves submitting an application, a profile review by the technical committee, and a pre-screening test to assess subject knowledge before receiving the final offer letter.

What are the documents to be submitted for the application?

Applicants must submit documents such as Aadhar Card, date of birth proof, resume, graduation marksheets and degree certificates, 12th marksheet, and work experience documents if applicable.

Will there be any pre-screening test for enrolling in the program?

Yes. A pre-screening test evaluates candidates’ understanding of digital electronics, analog electronics, logical reasoning, and Verilog fundamentals.

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

Basic knowledge of Verilog coding is recommended to perform well in the pre-screening test and to start the program smoothly.

How is the teaching format structured for this program?

The program is delivered through 100% live online classes conducted by IIT Kharagpur faculty and industry experts.

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

Yes. Participants who choose to attend the optional campus immersion will need to pay approximately ₹10,000 closer to the immersion dates.

Will hostel accommodation be provided for outstation candidates during immersion?

Yes. Accommodation booking can be facilitated for outstation candidates during the campus immersion, subject to availability.

Why is this program considered unique compared to other certifications in VLSI?

The program integrates industry-grade Cadence tools, the Vivado FPGA workflow, and a complete RTL-to-GDSII design flow enhanced with AI-driven PPA optimization and low-power design techniques.

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

The program is led by Prof. Mrigank Sharad, whose expertise in nanoelectronics, VLSI design, and digital and mixed-signal systems contributes to developing energy-efficient AI hardware and modern semiconductor technologies.

What makes IIT Kharagpur a trendsetter in technological education, particularly in VLSI?

Established in 1951 as India’s first IIT, IIT Kharagpur has a strong legacy in engineering education and advanced semiconductor research, combining academic rigor with industry-relevant curriculum design.

How do industry leaders contribute to the program?

Industry practices and modern semiconductor workflows are integrated into the curriculum, ensuring that learners gain exposure to real-world design methodologies and AI-enabled chip design practices.

What areas of VLSI design does this program cover?

The curriculum covers digital design foundations, Verilog-based RTL development, FPGA workflows, ASIC implementation, low-power design, and the complete RTL-to-GDSII design lifecycle including timing analysis and physical design.

What tools and platforms are covered in this program?

Participants gain hands-on experience with tools such as Vivado IDE and Cadence tools including Xcelium, Genus, Innovus, Tempus, and Voltus. The program also includes Verilog programming and basic TCL scripting.

What makes the AI integration in this program unique?

The program integrates AI-driven workflows including machine-learning-based design space exploration, predictive static timing analysis, and AI-guided optimization of power, performance, and area metrics.

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

The program offers full-stack exposure from RTL design to GDSII implementation using commercial-grade semiconductor toolchains and AI-enabled automation workflows.

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

Through modular learning and customizable capstone projects, participants can focus on areas aligned with their interests within semiconductor design.

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

Participants work on projects such as hardware-accelerated audio signal processing with neural network classifiers, Tiny-YOLO based object detection accelerators, and optical flow estimation accelerators for automated vehicles.

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

Graduates can pursue roles such as RTL Design Engineer, FPGA Design Engineer, ASIC Implementation Engineer, Physical Design Engineer, Low-Power Design Specialist, and AI-EDA Integration Specialist.

How does having skills in AI-integrated EDA impact salary and job prospects?

AI-integrated EDA skills are highly valued in the semiconductor industry and open access to specialized roles with higher compensation potential.

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

The program equips learners with both traditional VLSI methodologies and emerging AI-driven automation skills, preparing them for the evolving semiconductor ecosystem.

What certification will I receive upon completion?

Upon successful completion, participants receive the Executive Post Graduate Certification in AI-Enabled VLSI Design from IIT Kharagpur.

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

The program fee is ₹1,25,000 plus 18% GST. Financing options are available through partner financial institutions.

What is the payment schedule and process?

A non-refundable application deposit of ₹5,000 must be paid during application submission and is adjusted in the final fee. The remaining fee must be paid within five days of receiving the offer letter.

Can I self-fund this program?

Yes. Participants can self-fund the program either fully or partially through personal or family resources.

Does Futurense help with loans?

Yes. Futurense partners with financial institutions to help eligible participants access loan options.

What is the interest rate on the loans?

Interest rates vary depending on the financial partner and repayment plan and are generally competitive in the current lending market.

What documents should I keep handy for financing?

Applicants should keep their:
1. PAN card.
2. Aadhaar card.
3. Bank statements for the last three months (required for financing or loan processing).

Next
Next