Program Highlights

The only VLSI Design certification program that offers Executive Alumni Status

Hands-On Practice With 100 Hours Of "Cadence tool access"

Capstone Project Aligned to Industry-Grade Semiconductor Use Cases

AI-Enabled VLSI Design Curriculum focused on Low-Power VLSI & Optimization Techniques

Architect High-Efficiency Designs Focused On Fine-Tuning Low-Power PPA Through Industry-Leading EDA Tools.

About IIT Kharagpur

Established in 1951, IIT Kharagpur is Indiaโ€™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 Indiaโ€™s technological and economic growth.

Guest Speakers

Narayan Prasad

25+ years in semiconductor chip & system design for consumer and enterprise markets. Expert in Analog/Mixed Signal design, specializing in Power Management and Data Converters. Two-time startup co-founder and automotive tech enthusiast.

Dhanapathy Krishnamoorthy

Demonstrated technical acumen of driving innovation and lead 25+ successful SoCs to productization in multiple foundries like UMC, Global Foundries, Samsung & TSMC from 90nm to 3nm with direct foundry interfacing & IP selection.

Murali Kothandapani

Results-driven Product Management and Technology leader with 23+ years of experience driving complex semiconductor product development and customer solutions across ASIC, Memory, Storage, and Embedded Systems.

Nirmalya Ghosh

Enterprise engineering executive with deep experience in chip design, memory compiler/GPIO/mixed-signal/StdCell development, CAD & methodology, product and resource management, ecosystem leadership, and corporate strategy.

Swagath Venkataramani

Principal Research Scientist at IBM T.J. Watson Research Center, previously a Research Staff Member at IBM and Research Intern at Microsoft Research. Earned his Ph.D. in Electrical & Computer Engineering from Purdue University.

Rangharajan Venkatesan

Researcher in deep learning hardware, computer architecture, ASIC, and VLSI. Award-winning work in spintronic memories and hardware accelerators; active contributor to leading IEEE conferences, including ISSCC, DAC, and ISLPED.

Sabyasachi Deyati

AI/HPC Workload Performance Architect at Intel. Specialized in AI/HPC workload trace analysis and the development of GPU kernel-based projection models. Specifically, an expert in analyzing AI/HPC workloads to optimize performance and efficiency.

Hari Ananthan

A Senior Director of Engineering at Qualcomm, specializing in agentic AI for hardware design and the development of advanced tools for RTL design, verification, and synthesis.

The IIT Advantage

Experience Campus Immersion At IIT Kharagpur

Certification From IIT Kharagpur

Receive a Certificate of completion from IIT Kharagpur,
recognizing your achievement.

in Just 8 Months

How You Go From Learning to Orchestrating

Module 1: Verilog & Combinational RTL Foundations

Digital Design Foundations

Verilog Onboarding + First Verified Module

Combinational Modeling Styles + Decoder Design (QoR Awareness)

Module 2: Sequential RTL & FSM Controllers

Verilog System Design Essentials (Job-Aligned) + Code Experiments

Sequential RTL: DFFs & Counters (ASIC Flow Awareness)

FSM Controllers: Sequence, Vending Machine & Elevator Models

Vivado Flow Literacy

Module 3: Memory Blocks & Datapath Design

Memory in RTL: Register File, RAM & FIFO (FPGA + ASIC)

Datapath vs Control Logic

Fixed-Point Arithmetic, Truncation & Approximation Safety

Module 4: Low-Power RTL & AI-Augmented Power Aware Architecture

Design for power, not just functionality

Power Fundamentals I: 4 Power Types + Activity Tracing

Low-Power Techniques: 6 Key Levers

Power-Aware Architecture Design

Clock Gating Cell RTL (Production-Ready) + Verification

Module 5: FPGA Workflow & Cadence Synthesis Workflow / STA Literacy

Bridge FPGA and ASIC thinking

FPGA vs ASIC Synthesis Differences

Cadence Synthesis & STA: Genus + Tempus

TCL Scripting and Optimization Using AI

Module 6: Capstone Kickoff

Capstone Kickoff: (Specโ†’Architecture) + (Algorithmโ†’RTL Plan)

Capstone Build 1: Controller FSM, FIFOs & Testbench

Capstone Build II: Constraints, QoR Optimization for PPA

Module 7: Physical Design Foun dations

Cadence P&R Baseline using Innovus

QoR Analysis & Iterative Improvements

RTL to GDS Baseline Run

Module 8: Floorplanning & Power Planning Foundations

Placement + Congestion Mitigation (Power tie-in)

CTS + Routing Overview (OSS) + Clock Power Intuition

Module 9: RTL โ†’ GDSII Deep Dive & Signoff

Cadence RTL โ†’ GDSII Baseline (Canonical Block)

Tool Awareness & Mapping to Open-Source Flows

Floorplanning & Locality (Power & Toggling Awareness)

Placement & Congestion Mitigation

CTS, Routing & Process / Corner Variations

Signoff Literacy: DRC, LVS & UPF Power Intent

Power Analysis & Multi-Knob Optimization (Voltus / Joules)

Module 10: AI-Driven Low Power Co-Optimization

ML-Based Architecture Design Space Exploration (DSE)

AI-Guided QoR Tuning Loop

Predictive STA & ECO Recommendations (Bounded)

Congestion & Floorplan Prediction

Module 11: Portfolio & Interview Readiness

Translate skills into job-ready outcomes

Portfolio Curation & Project Storytelling

Interview Readiness for RTL, PD & AI-EDA Roles

Module 12: Capstone Closure & Commercial Low-Power Methodology Showcase

Low-Power Methodology Showcase (Cadence-based) - demo + decision memo

Participants will gain hands-on experience with
research-oriented projects along with industry-grade tools

Hardware-Accelerated Audio Signal Processing with Neural Network Classifier

Tiny YOLO-Based Object Detection Accelerator for Edge AI

Accelerator for Optical Flow Estimation and Object Detection for Automated Vehicles

While mastering industry standard tools

Digital Design & Simulation
RTL Verification
Logic Synthesis
Static Timing Analysis
FPGA Prototyping
Analog Simulation
RISC-V & Embedded Systems
IoT & System Integration
AI Hardware Design Workflow
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By The End, Youโ€™ll Be Able To Do All This

Design Complete RTL-to-GDSII Flows

Implement the full VLSI design cycle, RTL design, simulation, synthesis, physical design, timing analysis, and layout verification.

Architect Low-Power Digital Systems

Apply industry-standard low-power design techniques and optimize performance, area, and power (PPA) for scalable semiconductor systems.

Use Industry-Grade Cadence Tools

Execute professional EDA workflows using Cadence tools with practical exposure aligned to real semiconductor design environments.

Perform Static Timing & Physical Verification

Conduct timing analysis, placement, routing, clock-tree synthesis, DRC, and LVS checks using modern toolchains.

Prototype Designs on FPGA

Implement and validate digital designs on FPGA platforms for hardware-level testing and debugging

Use Modern Verification Frameworks

Create simulation environments and testbenches using Verilog, cocotb, and industry-style verification methodologies.

Understand AI-Driven EDA Workflows

Explore how AI techniques are integrated into modern semiconductor design automation pipelines.

This Program is for

Educational Qualification

- B.Tech (4th-year students or graduates)/ M.Tech, B.E/M.E in Electronics, ECE, EE, VLSI, Electrical, Instrumentation, CS, IT, M.E, Minor in Electronics or CS with B.Tech/B.E in any field and allied branches.
- M.Sc: Electronics / Physics / Semiconductor Technology.
- Minimum Academic Requirement: 50% aggregate (or equivalent CGPA).

Technical Readiness

- Basic understanding of digital electronics or programming fundamentals expected.
- Prior exposure to Verilog, RTL, FPGA, or embedded systems is an advantage, but not mandatory.

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 electronics and VLSI fundamentals.

Qualifying Test

Short aptitude-based qualifying test (technical aptitude test)

Qualifying Assessment

What Youโ€™ll Be Tested On

Analog Electronics

Digital Electronics

HDL/Verilog

Logical Reasoning

Duration: 90 minutes

Important Guidelines

Online, MCQ-based

Each section has a time limit and can be attempted only once

Do not refresh or close the browser during the qualifying test

Use latest versions of Chrome/Firefox on desktop/laptop

Keep pen and paper handy for rough work

Youโ€™ll receive qualifying test access only after completing registration

Electronics & ECE Graduates

Looking to move beyond theory and labs into production-grade RTL, ASIC physical design, and low-power silicon workflows used in real semiconductor teams.

Software / Embedded Engineers Transitioning to VLSI

Professionals aiming to shift from software or firmware roles into chip design, FPGA prototyping, or AI-enabled EDA workflows.

Early-Career VLSI & FPGA Engineers

Engineers who want signoff-grade exposure to Cadence tools, cloud FPGA, and RTL-to-GDSII flows to become industry-ready faster.

Mid-Career Professionals in Semiconductor Roles

Working professionals seeking to upskill in low-power design, physical design awareness, and AI-driven EDA orchestration for long-term growth in the VLSI ecosystem.

Roles Thatโ€™ll Be Looking For You

RTL Design Engineer

โ‚น6 โ€“ 18 LPA

VLSI Digital Design Engineer

โ‚น6 โ€“ 22 LPA

ASIC Design Engineer (Frontend)

โ‚น10 โ€“ 28 LPA

SoC Design Engineer (Digital Subsystems)

โ‚น15 โ€“ 35 LPA

Micro-Architecture Engineer

โ‚น14 โ€“ 32 LPA

Low-Power RTL Design Engineer

โ‚น12 โ€“ 30 LPA

Physical Design Engineer (P&R)

โ‚น8 โ€“ 25 LPA

Backend ASIC Engineer

โ‚น9 โ€“ 28 LPA

Floorplanning Engineer

โ‚น12 โ€“ 30 LPA

STA Engineer

โ‚น8 โ€“ 24 LPA

CTS & Routing Engineer

โ‚น10 โ€“ 26 LPA

Power Analysis & Optimization Engineer

โ‚น12 โ€“ 35 LPA

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

โ‚น1,25,000

+18% GST
Apply Now
ComponentAmount (โ‚น)
Program Feeโ‚น1,20,000
GST (18%)As applicable
Registration Fee (Non-Refundable)*โ‚น5,000 (Adjusted in Program Fee)
Total Payableโ‚น1,25,000 + 18% GST

The registration fee of โ‚น5,000 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 are available through partner NBFCs.

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

10th 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

Apply online with your basic details and pay the โ‚น5,000 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 AI-Enabled VLSI Design 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 Kharagpurโ€™s AI-Enabled VLSI Design

Dimension

This Programme

Other Programme

Core Philosophy
Production-grade RTL-to-GDSII engineering, focused on low-power, AI-assisted silicon design and real sign-off constraints
Tool-centric or theory-heavy learning with limited exposure to real silicon constraints
Role Orientation
Industry-aligned roles across RTL Design, Physical Design, FPGA, Low-Power & AI-EDA workflows
Academic or entry-level focus without clear mapping to production VLSI roles
Curriculum Design
End-to-end flow: RTL โ†’ Synthesis โ†’ STA โ†’ Physical Design โ†’ Sign-off, integrated with AI-EDA
Fragmented modules taught in isolation (RTL, PD, or verification separately)
Learning Style
Industry-standard Cadence tools, FPGA relevant workflows, and AI-guided design space exploration
Lecture-driven learning with simulations and small academic assignments
Production Readiness
Emphasis on PPA trade-offs, timing closure, power intent (UPF), congestion, and sign-off literacy
Limited focus on production realities like timing, power leakage, or closure loops
EDA & Tool Exposure
Industry-standard Cadence tools, cloud FPGA workflows, and AI-guided design space exploration
Local tools, open-source only, or limited exposure to professional EDA environments
AI Integration
AI-assisted EDA workflows for DSE, and QoR tuning
Little to no exposure to AI-enabled design or automation in VLSI
Portfolio Output
Sign-off-ready evidence packs: waveforms, QoR reports, logs andย capstone
Academic projects or RTL demos without production-grade artifacts

Feelingย 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:

Semiconductor Material & Analog Basics

GenAI, Agentic AI and Prompt Engineering

System Thinking for AI

Digital Electronics & HDL Foundations

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.

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 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

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

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

A V Rahul

Director, Analytics, - Barracuda

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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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