What is the PG Certificate Program in GenAI and Agentic AI offered by IIT Roorkee?

The PG Certificate Program in GenAI/Agentic AI & ML Applications for Engineers is an 11-month program offered by Indian Institute of Technology Roorkee. It covers Traditional AI, Machine Learning, Deep Learning, Generative AI (LLMs), and Agentic AI (autonomous multi-agent systems). The program is specifically designed for engineers and tech professionals and includes hands-on projects, IIT Roorkee certification, and optional campus immersion.

What are the eligibility criteria for the GenAI and Agentic AI program at IIT Roorkee?

Candidates must have a minimum 50% in an undergraduate degree (B.Tech, B.Sc/M.Sc in STEM, BCA, or MCA). The program is suitable for engineers, tech professionals, and freshers with a strong foundation in mathematics and programming. Minimum 1 year of work experience is preferred, though exceptional freshers may also apply.

What is the selection process for the IIT Roorkee GenAI program?

Candidates must submit an online application, meet eligibility criteria, and clear a pre-screening test with a minimum of 50% marks. The test assesses Data Interpretation, Statistics & Mathematics Foundation, and Programming Logic (Python/C++). The test duration is 90 minutes.

What AI tools and platforms are taught in this program?

The program covers 20+ industry tools including AutoGen, CrewAI, LangChain, LangGraph, GPT-4, Hugging Face, TensorFlow, PyTorch, SpaCy, Streamlit, Flowise, Zapier, OpenAI APIs, VS Code, and GitHub. Hands-on exposure is provided through the AI Clinic with live enterprise-grade projects.

What job roles can I get after completing the IIT Roorkee GenAI and Agentic AI program?

After completing the program, participants can pursue roles such as Generative AI Engineer (₹20–40 LPA), LLM Engineer (₹22–45 LPA), Senior GenAI Engineer (₹30–55 LPA), Agentic AI Engineer (₹30–55 LPA), AI Product Manager (₹25–45 LPA), and MLOps Engineer (₹22–40 LPA). Certified professionals report 40–60% salary hikes.

What is the curriculum structure of the IIT Roorkee GenAI program?

The curriculum has 7 modules: Module 1 – Foundations of AI and ML; Module 2 – Machine Learning Algorithms (Supervised & Unsupervised); Module 3 – Deep Learning and NLP (ANN, RNN, LSTM); Module 4 – Generative AI and LLMs (Transformers, RAG, GANs, VAEs); Module 5 – AI Agents and Agentic Frameworks (LangGraph, AutoGen, CrewAI); Module 6 – Capstone Preparation and Domain Specializations; Module 7 – Capstone Project.

Is coding experience required to join this GenAI program?

No extensive coding experience is required to enroll. However, basic coding knowledge is needed to clear the pre-screening test. The program is delivered in a hybrid format — 30% recorded content and 70% live online sessions — making it flexible for working professionals.

What is the Futurense AI Clinic?

The Futurense AI Clinic is a hands-on learning component where participants work on live enterprise-grade AI projects from ideation to deployment. It includes solving real business challenges using GenAI, Agentic AI, and automation workflows with tools like LangChain, CrewAI, Flowise, and OpenAI APIs, under guidance from IIT faculty and industry mentors.

What is the market opportunity for Generative AI professionals?

Generative AI is projected to reach a market value of $1.3 trillion by 2032, with 74% of enterprises prioritizing its adoption. India is a leading AI startup hub with over $600 million raised in GenAI startups in 2024, creating strong demand for skilled GenAI and Agentic AI professionals across industries.

What is the name of the certificate program, and which IIT offers it?

The program is called "Advanced PG Certificate Program in AI Engineering on Cloud and AIOps". It is offered by one of India’s top-tier IITs.

What qualifications do I need to apply?

The duration is 7–8 months (126+ hours). The next batch commences on 18th October, 2025.

How can I apply to the PG Certificate Program in AI/GenAI Powered Cybersecurity?

Click on Apply now and fill the application form.

What are the documents to be submitted for application?

While the exact list is not provided for this program, similar IIT Roorkee programs typically require: Application form, ID proof, Educational certificates (Class 10th, 12th, Graduation), Work experience certificates (if applicable), Passport-size photograph. Note: The same may apply unless otherwise stated.

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

The campus immersion is optional, so attendance is not mandatory.

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

Yes. The campus immersion cost is ₹10,000 + taxes.

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

Hostel accommodation may be provided either on campus or off campus, depending on facility availability.

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

Projects include: AI-augmented SOC simulation, Prompt engineering for phishing defense, Automated cloud misconfiguration detection, Malware analysis using GenAI tools, AI governance policy creation.

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

Key modules include: Fundamentals of Cybersecurity, Cryptography & Protocols, AI & GenAI for Cybersecurity, SOC Automation, Cloud Security, Threat Intelligence, Ethical Hacking & AI Attacks, AI Governance & Compliance, Capstone Project.

Who are the program coordinators, and why is their expertise significant?

Prof. Gaurav Kumar Nayak (IIT Roorkee): Expert in GenAI, video understanding, vision-language models. Prof. Raghavendra Rohit (IIT Roorkee): Expert in applied cryptography and secure communication. Their combined expertise bridges AI and cybersecurity for real-world readiness.

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

While designed primarily for marketers, it is also suitable for tech professionals as it includes: Full-stack security operations, Prompt engineering, Cloud and container security, System-level automation using Python, SOAR, and SIEM tools.

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

Healthcare: Automates diagnosis and treatment recommendations. Manufacturing: Enables process optimization and predictive maintenance. Telecom: Powers AI-driven customer support and network optimization.

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

Roles include: AI Marketing Strategist, LLM Risk Evaluator, AI Cyber Governance Analyst, SOC Analyst, Cloud Security Associate, GenAI Red Teamer, Threat Intelligence Specialist, Security Automation Engineer.

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

Designed from scratch for GenAI-native cybersecurity. Includes hands-on AI defense, compliance, and red-teaming. Equips learners to not just build, but also operate next-gen security systems.

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

Projected market value: $1.3 trillion by 2032. 74% of enterprises are prioritizing GenAI adoption (Gartner, 2024). Source: Figures based on projections from Bloomberg Intelligence and enterprise adoption data from Gartner (2025).

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

India is a leading hub for AI innovation, with $600M+ raised in GenAI startups in 2024 alone. Source: Based on analysis by NASSCOM on India’s GenAI startup ecosystem.

What trends in tier 2 cities in India (e.g., Coimbatore, Jaipur) highlight the growth of AI-related job roles?

Tier 2 cities are experiencing a 35%+ hiring surge due to companies like TCS and Infosys setting up GenAI labs, expanding opportunities for both freshers and mid-career professionals. Source: Hiring data from foundit Insights (June 2025) and GetWork report (May 2024).

What is the Payment Schedule and Process?

Full fee payment of ₹1.40 lakhs + GST must be completed within 5 days of receiving the offer letter.

What are the documents I should keep handy?

Student's Documents: PAN, Aadhar, Last 3 months’ bank statements. Income Documents: Last 3 months’ payslips.

PG Certificate Program in GenAI/Agentic AI and ML Applications for Engineers

Q: What is the fee for the IIT Roorkee PG Certificate in GenAI and Agentic AI?

The total program fee is ₹1.49 Lakhs + 18% GST. EMI options start from ₹7,847 to ₹27,533 per month. Loan partners include Propelld, Avanse Financial Services, IDFC First Bank, and ICICI Bank. Deserving candidates opting for upfront payment may be eligible for a scholarship of up to ₹15,000.

Q: What is the difference between Traditional AI, Generative AI, and Agentic AI?

Traditional AI works with structured data to perform specific tasks. Generative AI uses Large Language Models (LLMs) to create content, text, images, and applications. Agentic AI builds autonomous systems capable of independent decision-making, task execution, and continuous learning — enabling multi-agent collaboration frameworks for complex real-world problems.

Become the AI-First Leader Every Company Will Need

Application Deadline

10th April, 2026

Apply Now Download Brochure

Application Closes In:

Days

Hours

Minutes

Sec

Start Date

18th April, 2026 (Tentative)

Duration

11 Months

Course Fee

₹1.49 Lakhs + GST

No. of Seats Left

8

Credits

18

Application Deadline

10th April, 2026

Application Closes In:

Days

Hours

Minutes

Sec

Program Highlights

Earn IIT Roorkee Certification + Masterclass by Industry Experts

Explore real use cases across business and tech functions

Get hands-on with the latest GenAI tools and platforms

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

No Extensive Coding Experience Required

Flexible Format Built for Working Professionals

Download Brochure For Full Details

About IIT Roorkee

Founded in 1847, IIT Roorkee is one of India’s oldest and most prestigious institutions, with a legacy of academic leadership and technological innovation. As a pioneer in interdisciplinary education, IIT Roorkee has been at the forefront of engineering, data science, AI, and management education.

Its executive education programs are designed to equip working professionals with industry-aligned, future-forward skill sets, combining academic rigor with hands-on learning and strategic thinking.

Program Director

Prof. Durga Toshniwal

Dept. of Computer Science & Engineering, IIT Roorkee

Prof. Durga Toshniwal has nearly 20 Years of Experience in Artificial Intelligence, Engineering, and Transformative Education. As the Program Director for this Generative AI certification, she is committed to bridging the gap between cutting-edge technological knowledge and practical industry application. Her academic journey is marked by significant achievements, including a PhD in Computer Engineering and visiting research faculty status at the University of Minnesota, Minneapolis, USA. With extensive industry experience in both India and the United States, Prof. Toshniwal has made substantial contributions to technological education.

Her notable accomplishments include receiving the prestigious IBM Faculty Award and bringing highly competitive fellowships to IIT Roorkee, such as the PM Fellowship (PMRF) and the IBM PhD Fellowship Award in 2013, proof of her academic excellence and research skills. Her vision for this program is clear: to develop a new generation of AI leaders who can transform industries, create scalable solutions, and shape the future of technology.

The IIT Advantage

Experience Campus Immersion At IIT Roorkee Research Park

Certification From IIT Roorkee

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

in Just 7-8 Months

How You Go From Learning to Orchestrating

Module 1: Foundations of AI and ML

Introduction to Al and ML

Data Pre-Processing, Curation, and Feature Engineering

Al and ML Process and Workflow

Module 2: Machine Learning Algorithms

Supervised Learning Methods

Unsupervised Learning Methods

Module 3: Deep Learning and NLP

ANN

Activation Functions

RNN

LSTM

Module 4: Generative Al and Large Language Models

Introduction to LLMs

Transformers and generative text models

Training LLMs & Finetuning LLMs

RAG Essentials

Generative Image Models

Variational Encoders (VAEs) and Generative Adversarial Networks (GANs)

Building GenAI Applications

Module 5: Al Agents and Agentic Frameworks

Introduction to Al Agents

Leaning Agentic Frameworks

Building an Al Agent

Basics of Agentic Evaluation

Special Workshop: Multi-Agent Collaboration

Building Al Agents with LangGraphs, Autogen, CrewAl

Agentic RAG Systems with LangGraph

Module 6: Capstone Preparation and Specializations

Project Theme Discussion

GenAI Specializations and AI Agents for Engineers:
‍
1. GenAl and Al Agents for Fullstack Development
2. GenAl and AlAgents for
3. Analytics and Data Science
4. GenAl and Al Agents for Embedded Systems
5. GenAl and Al Agents for Design, Manufacturing, and Structural Engineering Roles
6. GenAl and Al Agents for Biomedical Engineering Roles

Module 7: Capstone Project

Capstone Project

AI Clinic

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

Work on Live Projects

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

Use Industry-Standard Tools

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

Collaborate with Experts

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

End-to-End AI Execution

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

While mastering 20+ Tools

Agentic AI & Multi-Agent Orchestration

Large Language Models & GenAI APIs

Deep Learning Frameworks

NLP & Text Intelligence

GenAI Application Development Stack

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

Build GenAI Apps

Design and deploy real-world generative AI applications using LLMs.

Create AI Agents

Build autonomous, goal-driven AI agents that plan, act, and collaborate.

Engineer LLM Pipelines

Develop RAG, prompt, and fine-tuned LLM workflows for production use.

Apply ML ModelsApply ML Models

Train, evaluate, and deploy machine learning models for real problems.

Handle Unstructured Data

Process text data using NLP pipelines and embeddings effectively.

Design Multi-Agent Systems

Orchestrate multiple AI agents to solve complex tasks collaboratively.

Deploy Production AI

Move AI solutions from prototype to scalable, production-ready systems.

Solve Industry Problems

Apply AI across engineering, analytics, and enterprise use cases.

This Program is for

Educational Qualification

Bachelor’s degree from a recognized institution. STEM background preferred.

Work Experience

Minimum 1 year preferred. Freshers with strong motivation may also apply.

Freshers

Exceptional freshers with strong fundamentals may be considered via screening

Prior Knowledge

No coding background required. Having one is a bonus

Selection Process

All applicaAll applicants must clear a short pre-screening test.nts must clear a short pre-screening test.

Qualifying Test

What You’ll Be Tested On

Data Interpretation

Statistics & Mathematics Foundation

Programming Logic

Programming –Python/C++choice

Duration: 90 minutes

Important Guidelines

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Earning Potential

₹30–50 LPA

Career Assistance By Futurense

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

Profile, Narrative & Resume Building

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

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

Career-Specific Training

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

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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.

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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

₹1.49 Lakhs

+18% GST

Apply Now

Program fee is subject to change from the next cohort.

EMI Starts From

₹7,847 to ₹27,533/month

A non-refundable application deposit of ₹5,000 will be adjusted in the total fee. Program fees are refundable only if the student withdraws before the start date. No refunds will be made after the program begins.

An additional ₹10,000 will be applicable if you opt for the Campus Immersion (optional).

Deserving candidates opting for the upfront payment plan may be eligible for a scholarship of up to ₹15,000.

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

Submit Your Application

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

Clear the Qualifying Test

A short, non-technical test designed to assess your skills.

Pay and Confirm Your Seat

Secure your spot in the upcoming cohort with flexible payment options

Apply Now

Traditional GenAI Courses vs. IIT Roorkee’s PG Certificate in GenAI, Agentic AI & Data Science

Dimension

This Programme

Other Programme

Core Philosophy

Enterprise-focused program designed to build deployable GenAI, Agentic AI, and data-driven systems aligned with real business use cases

Focused largely on learning individual AI concepts or tools in isolation

Curriculum Orientation

Integrated curriculum covering Data Science foundations, Machine Learning, Generative AI, and Agentic AI with an enterprise application lens

Disjointed topics without an end-to-end enterprise AI perspective

Learning Approach

Instructor-led learning with applied assignments, hands-on labs, and structured project work

Predominantly self-paced video content and walkthrough-based learning

Focus on Agentic AI

Dedicated coverage of Agentic AI concepts, multi-agent workflows, and autonomous AI systems for enterprise scenarios

Agentic AI, if present, is usually absent or briefly mentioned

Generative AI Coverage

Practical exposure to LLMs, enterprise GenAI use cases, and GenAI-driven applications

Often limited to prompt engineering or surface-level GenAI demos

Data Science Integration

Strong emphasis on data understanding, preparation, and analytics as the foundation for AI and GenAI systems

Data science is often treated as a separate or optional topic

Tool & Platform Exposure

Hands-on exposure to industry-relevant tools and workflows used in enterprise AI and GenAI development

Tool usage is usually limited to basic notebooks or single frameworks

Enterprise Readiness

Curriculum explicitly designed for enterprise deployment, scalability, and real-world adoption

Minimal focus on enterprise constraints or production environments

Project-Based Learning

Includes applied projects aligned with real business and enterprise AI scenarios

Projects are typically small-scale or academic demonstrations

Capstone Experience

Structured capstone project applying GenAI, Agentic AI, and Data Science concepts to enterprise problems

Optional or lightweight final project

Industry Relevance

Curriculum aligned to enterprise AI, GenAI, and applied data science roles

Often, generic AI learning without role-specific alignment

Credential Value

PG Certificate issued by IIT Roorkee, one of India’s premier technical institutions

Certificate of completion from private platforms

Outcome Orientation

Focus on building production-ready, enterprise-grade AI and GenAI systems

Focus on conceptual understanding or tool familiarity

Feeling Underconfident About Your AI 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:

AI, GenAI & AgenticAI Fundamentals

Prompt Engineering Basics

No-Code Agent Building Primer

Vibe Coding (Low/No-Code)

Execution-First Focus

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

One decision today could make you the leader everyone’s looking for tomorrow

If you're ready to move beyond theory, this is where you start building intelligent systems that solve real problems at scale.

Apply Now

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 the PG Certificate Program in GenAI/Agentic AI & ML Applications for Engineers, offered by Indian Institute of Technology Roorkee.

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

The program duration is 11 months. The cohort is tentatively scheduled to begin on 18th April, 2026.

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

1. Minimum 50% in undergraduate degree (B.Tech, B.Sc/M.Sc in STEM, BCA, MCA)
2. Suitable for engineers, tech professionals, and freshers
3. Strong foundation in mathematics and programming recommended

How can I apply to the PG Certificate Program in GenAI/Agentic AI and ML Applications for Engineers?

Candidates must submit their application online, undergo eligibility review, appear for the pre-screening test, and complete the payment process upon selection.

When will the application process to the program start?

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

Is there a selection process?

Yes. Candidates must meet eligibility criteria and clear the pre-screening test with a minimum of 50% marks.

What are the documents to be submitted for the application?

1. Completed application form
2. Government ID proof
3. Class 10th and 12th mark sheets
4. Graduation mark sheets and degree certificate
5. Work experience certificates (if applicable)
6. Passport-size photograph

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

Yes. The exam assesses Data Interpretation, Statistics & Mathematics foundation, and Programming Logic (Python/C++).

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

Yes. Basic coding knowledge is necessary to clear the pre-screening test.

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

It is specifically designed for engineers, enabling domain specialization (e.g., manufacturing, biomedical, structural engineering) with IIT branding, hands-on projects, and industry-aligned curriculum.

How is the teaching format structured for this hybrid program?

The program follows a hybrid model with 30% recorded content and 70% live online sessions, totaling 150 teaching hours.

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

It is the first IIT certification combining traditional AI, generative AI, and agentic AI, specifically designed for engineers and tech professionals.

What if I can’t take a 2-day leave at a stretch from my office for the Campus Immersion?

The 2-day campus immersion is optional and conducted towards the end of the program.

Will hostel accommodation be provided during immersion?

Accommodation may be provided on-campus or off-campus, depending on availability.

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

The Program Director is Durga Toshniwal, Head of the Mehta Family School for Data Science and AI at IIT Roorkee. She brings extensive academic and industry experience, including a PhD and IBM Faculty Award.

What makes IIT Roorkee a trendsetter in technological education?

Indian Institute of Technology Roorkee is over 175 years old, ranked among top-tier IITs, and recognized for cutting-edge research and world-class alumni.

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

Industry experts from companies such as Google, Microsoft, and Infosys deliver mentoring and masterclasses to ensure industry alignment.

What areas of AI does this program cover, and how does it integrate traditional AI, generative AI, and agentic AI?

The program covers Traditional AI (ML, NLP, DL), Generative AI (LLMs like GPT-4 and generative applications), and Agentic AI (autonomous multi-agent systems).

What tools and platforms are covered in this program?

Tools include AutoGen, CrewAI, GPT-4, Hugging Face, LangChain, Python, TensorFlow, PyTorch, Streamlit, VS Code, and GitHub.

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

Agentic AI enables autonomous systems that can make decisions, execute tasks, and continuously learn, shaping the future of intelligent systems.

What are the key modules in the program?

Key modules include AI Foundations, Generative AI (LLM fine-tuning and applications), and Agentic AI (multi-agent collaboration frameworks).

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

Participants can specialize in domains such as Fullstack Development, Data Analytics, Embedded Systems, Biomedical Engineering, and Manufacturing by applying AI solutions tailored to their fields.

What are some practical projects included in the course?

Participants complete 15+ hands-on projects, including building multi-agent systems and generative AI models.

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

Multi-agent systems enable scalable AI solutions, collaborative intelligence, and advanced decision-making systems across industries.

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

Traditional AI works with structured data for specific tasks. Generative AI uses LLMs to create content. Agentic AI builds autonomous systems capable of decision-making and learning.

What job roles can participants expect after completing this program?

Roles include Generative AI Engineer, AI Solutions Architect, AI Product Manager, AI Research Scientist, Machine Learning Engineer, Chief AI Officer (CAIO), AI Ethicist, Prompt Engineer, and AI Data Scientist.

How does having skills in generative AI and agentic AI impact salary and job prospects?

Certified professionals report 40–60% salary hikes, with salaries ranging from ₹15–50 LPA in India.

How does this program align with the rapid adoption of generative AI by companies?

Companies are building GenAI labs and deploying AI agents, creating demand for skilled professionals across metro and tier-2 cities.

Why will this certification future-proof careers?

The program equips learners with in-demand GenAI and Agentic AI skills, preparing them for emerging roles beyond traditional AI.

How are agentic AI systems used across industries?

They are used in healthcare (automated diagnosis), manufacturing (predictive maintenance), and telecom (AI-driven customer support and network optimization).

What is the projected market value of generative AI by 2032, and enterprise adoption rate?

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

How does India rank in generative AI startups?

India is a leading AI startup hub, with $600M+ raised in GenAI startups in 2024.

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

The program fee is ₹1.49 lakhs + 18% GST. Loan options are available for 6- and 12-month terms at competitive interest rates.

Can I selWill there be any additional cost for attending the optional 2-day IIT Roorkee campus immersion?

Yes. The immersion fee will be based on actual costs and communicated in advance.

Can I self-fund this program?

Yes. Participants can self-fund partially or fully.

Does Futurense help with loans?

Yes. Loan partners include Propelld, Avanse Financial Services, IDFC First Bank, and ICICI Bank.

What is the interest rate on the loans?

Interest rates vary based on repayment schemes and applicant profile but are described as competitive.

What documents should I keep handy?

PAN, Aadhaar, latest 3 months’ bank statements, and latest 3 months’ payslips (if applicable).