Program Highlights

India's First IIT Program Integrating Data Engineering + GenAI + Agentic AI

Designed for working professionals โ€“ 2+ Years Experience Required

35-Credit IIT Curriculum with Capstone, Projects & Campus Immersion

Hands-On Learning with Live Projects & Production Systems

Executive Alumni Status from IIT Jodhpur + MTech Pathway

About IIT Jodhpur

The Indian Institute of Technology Jodhpur stands as one of India's premier engineering and technology institutions, established with a vision to build engineers who solve real-world problems through innovation and research.

Located in Rajasthan, IIT Jodhpur has rapidly emerged as a leader in advanced computing, AI research, and data systems. With state-of-the-art laboratories in high-performance computing, distributed systems research, and autonomous multi-agent architectures, the institute provides an environment where theory meets practical application.

IIT Jodhpur's Centre for Continuing Education extends this culture of excellence to working professionals, offering programs that maintain the same academic rigor as on-campus degrees while providing the flexibility needed for career advancement.

Our Program Faculty

Prof. Kalpak Kulkarni

Ph.D, IIT Bombay

Prof. Kalpak Kulkarni (Ph.D, IIT Bombay) is an Assistant Professor of Marketing at the Department of Management Studies, IIT Roorkee. He specializes in social media marketing, content marketing, and digital communication strategy, with a keen focus on how AI and consumer psychology shape digital engagement. His research spans viral advertising, moment marketing, and digital content strategy that has been published in leading international journals, and he brings a strong blend of academic rigor and industry relevance. Prof. Kulkarniโ€™s teaching and consulting work emphasize practical, data-driven approaches to digital strategy, making him a sought-after expert in the evolving digital marketing landscape.

Prof. Kalpak Kulkarni

Ph.D, IIT Bombay

Prof. Kalpak Kulkarni (Ph.D, IIT Bombay) is an Assistant Professor of Marketing at the Department of Management Studies, IIT Roorkee. He specializes in social media marketing, content marketing, and digital communication strategy, with a keen focus on how AI and consumer psychology shape digital engagement. His research spans viral advertising, moment marketing, and digital content strategy that has been published in leading international journals, and he brings a strong blend of academic rigor and industry relevance. Prof. Kulkarniโ€™s teaching and consulting work emphasize practical, data-driven approaches to digital strategy, making him a sought-after expert in the evolving digital marketing landscape.

Prof. Kalpak Kulkarni

Ph.D, IIT Bombay

Prof. Kalpak Kulkarni (Ph.D, IIT Bombay) is an Assistant Professor of Marketing at the Department of Management Studies, IIT Roorkee. He specializes in social media marketing, content marketing, and digital communication strategy, with a keen focus on how AI and consumer psychology shape digital engagement. His research spans viral advertising, moment marketing, and digital content strategy that has been published in leading international journals, and he brings a strong blend of academic rigor and industry relevance. Prof. Kulkarniโ€™s teaching and consulting work emphasize practical, data-driven approaches to digital strategy, making him a sought-after expert in the evolving digital marketing landscape.

The IIT Advantage

Experience Campus Immersion At IIT Jodhpur

PG Diploma from IIT Jodhpur

Earn a prestigious PG Diploma from IIT Jodhpur, representing academic excellence in Data Engineering and AI.

in Just 12 Months

How You Go From Learning to Orchestrating

Trimester 1: Data Analytics Foundation

Applied Mathematics & Statistics (Core)

Python Programming for Data Engineering (Core)

Database Systems & SQL Programming (Core)

Trimester 2: Data Science and Generative AI

Machine Learning Foundations (Core)

Distributed Systems & Data Platforms (Core)

Generative AI & Large Language Models (Core)

Prompt Engineering & AI Application Development (Core)

Trimester 3: Data Engineering and Agentic AI

Advanced Data Engineering with Cloud Platforms (Core)

AI Agents & Agentic AI Frameworks (Core)

Capstone Project (18 Hours Live + Project Work)

CAPSTONE PROJECT (35% of Total Credits)

End-to-end AI-native data system

Integration of data pipelines + LLMs + AI agents

Cloud deployment on AWS/GCP/Azure

Production-ready architecture

System presented to IIT Jodhpur faculty

Portfolio-ready deliverable

AI Clinic

Through the Futurense AI Clinic, you'll gain hands-on exposure to real enterprise-grade AI and data engineering projects.

Work on Live Projects

Build real enterprise-style data and AI systems by designing scalable data pipelines, GenAI applications, and Agentic AI workflows.

Use Industry-Standard Tools

Gain hands-on experience with LangChain, LangGraph, AutoGen, CrewAI, Hugging Face, PyTorch, and cloud platforms.

Collaborate with Experts

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

End-to-End AI Execution

Learn how to take a data system from concept to deployment, monitoring, and scaling.

While mastering 20+ Tools

Cloud & Compute Platforms
Containerization, Orchestration & MLOps
AI/ML Frameworks
GenAI, NLP & Agentic Frameworks
Data Engineering & Databases
Development & Tooling
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By The End, Youโ€™ll Be Able To Do All This

Build AI-Ready Data Infrastructures

Design and deploy scalable data pipelines that support LLM applications, AI agents, and real-time decision systems.

Engineer GenAI & Agentic Workflows

Create autonomous agents, RAG systems, vector-search workflows, and domain-specific LLM applications using modern frameworks.

Master Data Engineering & Cloud Platforms

Build modern data architectures, implement ETL/ELT pipelines, and deploy cloud-based data lakes and warehouses.

Integrate LLMs into Production Systems

Connect data pipelines with OpenAI GPT, Google Gemini, and other LLMs for intelligent data applications.

Deploy AI at Scale

Build production-ready systems with proper monitoring, optimization, and scalability on cloud platforms.

Build Your Proof of Work

Graduate with a deployed capstone project + portfolio that demonstrates real engineering capability.

Future-Proof Your Career

Move into high-growth roles such as AI Data Engineer, Generative AI Engineer, Agentic AI Engineer, or AI Solutions Architect.

This Program is for

Educational Qualification

A 4 year BE/BTech or BSc./BCA + MSc./MCA/Master's degree in science or STEM field

Working Professionals

Minimum 50% marks in undergraduate or postgraduate degree (for PGD)
Minimum 60% marks + First Division (for MTech pathway)

Work Experience

Minimum 1 year of overall industry experience (for PGD only)
Minimum 2 years of overall industry experience (for MTech pathway eligibility)

Prior Knowledge

Programming experience, Databases or engineering fundamentals, Logical reasoning & problem-solving, Exposure to cloud, analytics, or AI tools (added advantage, not mandatory)

Pre-Screening Test (Qualifying)

Short aptitude-based qualifying test (technical aptitude test)

Qualifying Test

What Youโ€™ll Be Tested On

Data Interpretation & Logical Reasoning

Programming Logic & Data Structures

Mathematics & Statistics

Python Coding

AI & Data Fundamentals

Duration: 120 minutes

Important Guidelines

Online assessment (MCQ + coding-based test)

Qualifying Criteria: Minimum 50% overall score + 50% in Programming and Subjective modules

Total Questions: 23 | Total Marks: 60

Sections: 5 (each section must be attempted; sectional cutoff applies)

Coding section includes Python problems

Manage time across sections; no sectional time limit

Data analysts & engineers

Data analysts, data engineers, software engineers transitioning into AI-powered data systems

ML practitioners

ML developers, AI practitioners, and automation engineers looking to specialize in data engineering

Tech professionals

Professionals leading data, digital, or AI initiatives in their organizations

Early-career engineers

Early-career engineers aiming for IIT-level specialization in modern data and AI stacks

Roles Thatสผll Be Looking for You

Data Engineering + GenAI
Agentic AI / Multi-Agent Systems
Data Platforms & Cloud
AI Solutions & Architecture
Role Now

ETL Developer

Salary

โ‚น4-7 LPA

Role Upgraded

AI Data Engineer

Earning Potential

โ‚น20-45 LPA

Role Now

Data Analyst

Salary

โ‚น4-8 LPA

Role Upgraded

Generative AI Engineer

Earning Potential

โ‚น25-50 LPA

Role Now

Backend Developer

Salary

โ‚น4-9 LPA

Role Upgraded

Agentic AI Engineer

Earning Potential

โ‚น28-55 LPA

Role Now

Python Developer

Salary

โ‚น4-8 LPA

Role Upgraded

AI Automation Engineer

Earning Potential

โ‚น22-45 LPA

Role Now

Cloud Engineer

Salary

โ‚น5-9 LPA

Role Upgraded

Data Platform Engineer

Earning Potential

โ‚น20-42 LPA

Role Now

DevOps Engineer

Salary

โ‚น4-8 LPA

Role Upgraded

Data & AI Infrastructure Engineer

Earning Potential

โ‚น25-50 LPA

Role Now

Solutions Engineer

Salary

โ‚น6-12 LPA

Role Upgraded

AI Solutions Architect

Earning Potential

โ‚น30-60 LPA

Role Now

Technical Lead

Salary

โ‚น10-18 LPA

Role Upgraded

AI Product Engineer

Earning Potential

โ‚น24-48 LPA

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Career Assistance By Futurense

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ย 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.

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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

โ‚น3,35,000

(Includes โ‚น10,000 Application Processing Fee)
Apply Now
ComponentAmount (โ‚น)
Course Feeโ‚น3,35,000
Application Processing Fee (Non-refundable)**โ‚น10,000 (Included in Course Fee)
Administrative Feeโ‚น20,000 (Lodging, meals excluded)
Total Program Fee*โ‚น3,35,000

MTech Pathway (Optional):
For eligible candidates who wish to upgrade to MTech (Executive Mode):Additional Fee: โ‚น2,40,000 (for 1 additional year)

*All PGD payments are made to IIT Jodhpur.
**Application Processing Fee is paid to Futurense Technologies. If the application is not accepted by IIT Jodhpur or Futurense, this amount will be fully refunded. However, if the student withdraws after acceptance, this amount is strictly non-refundable.

EMI options
A. If a student submits a withdrawal or refund request within 30 days of the batch start date, an amount of โ‚น1,12,500 (equivalent to the first trimester fee) will be deducted.
B. If a student submits a withdrawal after 30 days from the batch start date, the entire amount paid will be deducted.

Additional Charge: Boarding and lodging expenses during the immersion shall be borne by the students as per actuals.

Note: All refunds exclude the one-time application processing fee, GST charges (18%), and any applicable subvention amount; these components are non-refundable.

Application Deadline

23rd 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

Submit your application and complete the registration process.

2

Screening & Interview

Clear the pre-screening test + interview conducted by the IIT Jodhpur faculty (if required).

3

Offer & Begin Your Journey

Receive your offer letter and start the program with weekend live classes and annual campus immersion.

Traditional PGD vs. IIT Jodhpur's AI-Native Data Engineering Program

Dimension

This Programme

Other Programme

Focus
Data Engineering, GenAI, Agentic AI & Production AI Systems
Theory-heavy, limited modern AI exposure
Curriculum
AI-Integrated Modules + Cloud Platforms + AI Agent Frameworks
Generic data or ML topics
Learning Style
Hands-on AI Clinic, Labs, Real Projects & Production Builds
Assignments & exams
Industry Relevance
Production Pipelines, Cloud Deployment & Agentic AI Systems
Limited deployment skills
Career Outcomes
AI Data Engineer, Generative AI Engineer, Agentic AI Developer
Conventional data or ML roles
Proof of Skill
Portfolio + Deployed Capstone + IIT Credential
Academic grades

Feelingย Underconfident About Your Skills?

Kick things off with a Free 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 (Python, Data Structures)

Database Essentials (MySQL)

Mathematics Refresher (Statistics & Linear Algebra)

Cloud Foundations (AWS/Azure/GCP Basics)

GenAI, Agentic AI & Prompt Engineering

Worth โ‚น29,000

Included free with your enrollment.

Led by the Futurense Leadership Council (FLC)

ย 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 โ€“ Insights & Analytics, Ather Energy

Anupam Gupta

Independent Consultant โ€“ 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 Raiย 

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 Raiย 

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 โ€“ AI/ML Product Development, Amplify Health

Ankit Mogra

Director โ€“ 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 Design the Next Generation of AI-Optimized Silicon?

Low-power design, and AI-driven EDA are redefining how chips are built. Engineers trained for yesterday wonโ€™t make tomorrowโ€™s silicon.

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.
โ€

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 candidatesโ€™ 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 โ‚น10,000 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 Indiaโ€™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 โ‚น1,25,000 plus 18% GST. Financing options are available through partner financial institutions.

What is the payment schedule and process?

A non-refundable application deposit of โ‚น5,000 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).

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