Application Deadline - 20th April, 2025 (Tentative)
Apply Now
IIT Roorkee
#6 NIRF RANK
India’s 1st Agentic AI program

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

because, when
Machines Learn, Engineers Lead
Mode
Online
Duration
11 Months
Eligibility
50% in UG

Is This Program Right for You?

Certification

PG Certificate in AI, GenAI, Agentic AI and Machine Learning Applications for Engineers

  • Masterclasses from 40+ Industry Leaders
  • Gain hands-on experience with tools like LangGraph, LangChain, and AutoGen
  • Cutting-edge Curriculum
  • 15+ projects, 12+ assignments and gain 150+ hours of real-world, practical experience.

Eligibility

  • Minimum 50% marks in Under-graduation, or Post-graduation
  • Foundational knowledge in Maths, Statistics, and Python
  • Passionate about AI and problem-solving

Investment

  • Fee:  ₹1.49 Lacs + GST
  • Includes Application Processing Fee: ₹5000*
  • EMI Starting at  ₹8,568
*Campus immersion fee ₹15,000 will be collected separately.
*Non-refundable

Your Learning Path

  • LIVE Online Classes
  • With 2-day optional Campus  Immersion at IIT Roorkee
  • 150+ Hours of Learning
  • Weekend-Focused Schedule (Sat-Sun)
Starts 20th April, 2025 (Tentative)

Program Details

Course Duration
11 Months
Commencement
20th April, 2025 (Tentative)
Mode
Hybrid (Live + Recorded Online Sessions)
Program Fee
₹1.49 Lacs (+ GST)
Immersion
2-day optional Campus  Immersion
Location
Online with optional on-campus immersion
Speak to an Advisor
15+ projects, 12+ assignments, and a massive portfolio to showcase when you’re done.
150+ hours of real-world, practical experience
Masterclasses from 40+ Industry Leaders

Why this Program?

Don’t just Study! Become an AI Engineer Everyone’s Talking About

In the 1950s and 60s, AI pioneers sought to replicate human decision-making, laying the foundation for today's advancements. Over time, AI evolved from basic problem-solving algorithms into systems capable of learning and adapting.

Today, Agentic AI represents a breakthrough, moving beyond simple chatbots to applications that solve complex, multi-step problems with advanced reasoning and planning.

Why Study This Now?

Understanding the progression from early AI to Agentic AI is crucial for
engineers aiming to lead in this transformative era.

Only program that offers an in-depth exploration of AI's evolution, equipping you with the

Concepts
Contexts
Applications

By mastering these, you'll not only be prepared to develop and implement AI
solutions that are innovative and aligns with the dynamic demands of
various industries but also goes beyond the in-depth learning of

AI
Machine Learning
Agentic AI
Sundar Pichai

By 2025, AI will be less about replacement and more about augmentation empowering human potential in ways we're just beginning to understand.

Sam Altman

We’ve seen that with the great technological revolutions of the past. Each technological revolution has gotten faster, and this will be the fastest by far. Helpful agents are poised to become AI’s killer function.

Satya Nadella

AI agents will become the primary way we interact with computers in the future. They will be able to understand our needs and preferences, and proactively help us with tasks and decision making.

Jensen Huang

AI agents are the new digital workforce… The IT department of every company is going to be the HR department of AI agents in the future.

Daphne Koller

Machine learning is revolutionizing scientific discovery, turning data into predictive models that can accelerate research in healthcare and beyond.

Andrew Ng

AI agents will become an integral part of our daily lives, helping us with everything from scheduling appointments to managing our finances. They will make our lives more convenient and efficient.

Demis Hassabis

For a long time, we’ve been working towards a universal AI agent that can be truly helpful in everyday life.

Reid Hoffman

AI has the potential to act as advisors and tutors while warning against the risk of social isolation.

Why Exclusively for Engineers?

This program is a game-changer for engineers, designed to transform your technical expertise into AI mastery.

Here's why it's the perfect fit for you

Learn 15+ AI tools & tackle 15+ hands-on projects

Focused on real-world solutions to shape future technology & career pathways, conducted entirely in English.

Industry-Leading
Curriculum

Stay ahead with our dynamic curriculum that evolves with the latest AI advancements and market demands.

Transform
Industries

Learn to identify opportunities and implement AI solutions that transform business operations across sectors.

Learn from CXOs & MAANG leaders

The Futurense Leadership Council includes over 40+ leaders from top companies, offering mentorship and insights to keep the program cutting-edge.

About IIT Roorkee

The Indian Institute of Technology Roorkee (IIT Roorkee) was established in 1847, making it one of the oldest technical institutions in India. Originally known as Thomason College of Civil Engineering, it became an IIT in 2001. IIT Roorkee is renowned for its well-known technological education, research, and innovation, contributing significantly to the advancement of engineering and technology in India and globally.

Message from
Prof. Durga Toshniwal

Program Director, IIT Roorkee

Prof. Durga Toshniwal
Program Director, IIT Roorkee

"The rapid advancements in AI, particularly in Agentic and Generative AI, are redefining engineering. For future engineers, mastering these technologies is not just an opportunity but a necessity. At IIT Roorkee, we nurture talent that combines technical expertise with a deep understanding of societal needs. This program prepares students and researchers to lead in this transformative era, driving solutions that are impactful, sustainable, and inclusive."

Program Overview

This program, by IIT Roorkee, is designed to prepare engineers for the future of AI. Over 11 months, you’ll dive deep into Agentic AI, Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and GenAI, gaining the skills needed to build and deploy real-world AI applications across multiple domains.

Design AI from the ground up: Build smarter, real-world solutions using cutting-edge AI tools and techniques.

Master Generative AI (GenAI): Craft language models, generate creative content, and design tools that power industries like marketing and automation.

Engineer Agentic AI: Dive into Agentic AI to create decision-making systems with LangChain and AutoGen that act independently.

Learn from the pioneers: Collaborate with IIT Roorkee faculty and industry leaders who are setting the benchmarks in AI innovation.

This program isn’t just about learning - it’s about building. With AI reshaping every industry, this is your chance to engineer the change and lead from the front.
Apply now

What Will You Learn?

Master the art of designing AI workflows and building innovative GenAI applications that transform industries. Moreover, Gain expertise in Agentic AI to create autonomous agents driving smarter solutions.

Module 1: Foundations of AI and ML
Key topics Covered:
Introduction to AI and ML
Data Pre-Processing, Curation, and Feature Engineering
AI and ML Process and Workflow
Module 2: Machine Learning Algorithms
Month 4
Performance Metrics to Evaluate Models
Learn to measure and improve the effectiveness of AI models.
Generative AI Fundamentals
Explore the core principles of AI systems that create new content.
Generative Models (VAEs & GANs)
Master techniques behind Variational Autoencoders and Generative Adversarial Networks.
Month 5
Getting Started with LLMs
Understand large language models and their transformative potential.
Building GenAI Applications
Develop real-world applications powered by generative AI.
LLM Applications with Prompt Engineering
Combine LLMs with precise prompts for optimal outputs.
Introduction to LangChain
Learn to build advanced applications with LangChain frameworks.
Month 6
Finetuning LLMs
Customize large language models for specific tasks and datasets.
Training LLMs from Scratch
Build and train language models from the ground up.
Generative AI with Diffusion Models
Study diffusion processes in generative AI systems.
LLMOps with Specific Models (Llama)
Learn operational techniques with Llama and other specialized models.
Module 3: Deep Learning and NLP
Month 7
Application of Generative Image Models
Implement AI models that generate images from data inputs.
Application of Generative Text & Speech Models
 Develop AI systems that create text and voice outputs.
Integrating GenAI and AI Projects
Combine various AI tools into cohesive, functional projects.
Use Cases and Workflows
Apply AI solutions to industry-relevant challenges.
Month 8
RAG Essentials and API Wrappers
Learn Retrieval-Augmented Generation and integrate API solutions.
Introduction to AI Agents
Understand the basics of autonomous AI agents.
Learning Agentic Frameworks
Study frameworks for designing intelligent and adaptive agents.
Building an AI Agent
Create fully functional AI agents for various applications.
Month 9
Basics of Agentic Evaluation
Learn methods to assess and improve AI agent performance.
Multi-Agent Collaboration
Develop systems where multiple AI agents interact and collaborate.
Building Advanced AI Agents
 Explore advanced tools like LangGraphs, Autogen, and CrewAI for agent development.
Agentic RAG Systems with LangGraph
Build and deploy Retrieval-Augmented Generative systems using LangGraph.
Module 4: Introduction to Large Language Models (LLMs)
Key Topics Covered:
Introduction to LLMs
Transformers and Text Model
Generative Models - Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs)
RAG Essentials
LLM Applications with Prompt Engineering
Training LLMs from Scratch
Finetuning LLMs
LLMOps with Specific Models in LLMs - Llama
Introduction to LangChain
Module 5: Applications of Generative Models
Key Topics Covered:
Application of Generative Text
Generative Models - Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs)
Generative Image Models
Building GenAI Applications
Application of Generative Image Models
Special Workshop: GenAI Diffusion Models
Module 6: AI Agents and Agentic Frameworks
Key Topics Covered:
Introduction to AI Agents
Learning Agentic Frameworks
Building an AI Agent
Basics of Agentic Evaluation
Special Workshop: Multi-Agent Collaboration
Building AI Agents with LangGraphs, Autogen, CrewAI
Agentic RAG Systems with LangGraph
Module 7: Capstone Preparation and Specializations
Key Topics Covered:
Project Theme Discussion
GenAI Specializations and AI Agents for Engineers:
  • GenAI and AI Agents for Fullstack Development
  • GenAI and AI Agents for Analytics and Data Science
  • GenAI and AI Agents for Embedded Systems
  • GenAI and AI Agents for Design, Manufacturing, and Structural Engineering Roles
  • GenAI and AI Agents for Biomedical Engineering Roles
Module 8: Capstone Project
Key Topics Covered:
Capstone Project: Building AI Agents and GenAI Integrated AI Project
Trimester 2
Month 4
Performance Metrics to Evaluate Models
Learn to measure and improve the effectiveness of AI models.
Generative AI Fundamentals
Explore the core principles of AI systems that create new content.
Generative Models (VAEs & GANs)
Master techniques behind Variational Autoencoders and Generative Adversarial Networks.
Month 5
Getting Started with LLMs
Understand large language models and their transformative potential.
Building GenAI Applications
Develop real-world applications powered by generative AI.
LLM Applications with Prompt Engineering
Combine LLMs with precise prompts for optimal outputs.
Introduction to LangChain
Learn to build advanced applications with LangChain frameworks.
Month 6
Finetuning LLMs
Customize large language models for specific tasks and datasets.
Training LLMs from Scratch
Build and train language models from the ground up.
Generative AI with Diffusion Models
Study diffusion processes in generative AI systems.
LLMOps with Specific Models (Llama)
Learn operational techniques with Llama and other specialized models.
Trimester 3
Month 7
Application of Generative Image Models
Implement AI models that generate images from data inputs.
Application of Generative Text & Speech Models
 Develop AI systems that create text and voice outputs.
Integrating GenAI and AI Projects
Combine various AI tools into cohesive, functional projects.
Use Cases and Workflows
Apply AI solutions to industry-relevant challenges.
Month 8
RAG Essentials and API Wrappers
Learn Retrieval-Augmented Generation and integrate API solutions.
Introduction to AI Agents
Understand the basics of autonomous AI agents.
Learning Agentic Frameworks
Study frameworks for designing intelligent and adaptive agents.
Building an AI Agent
Create fully functional AI agents for various applications.
Month 9
Basics of Agentic Evaluation
Learn methods to assess and improve AI agent performance.
Multi-Agent Collaboration
Develop systems where multiple AI agents interact and collaborate.
Building Advanced AI Agents
 Explore advanced tools like LangGraphs, Autogen, and CrewAI for agent development.
Agentic RAG Systems with LangGraph
Build and deploy Retrieval-Augmented Generative systems using LangGraph.
Specialization
Month 10
Multi-Agent AI Systems Projects
Work on collaborative projects integrating multi-agent systems.
GenAI Specializations and AI Agents for Engineers
Gain role-specific expertise in AI applications for domains like fullstack development, analytics, embedded systems, manufacturing, and biomedical engineering.
Month 11
Capstone Project
Build and deploy a comprehensive AI project integrating GenAI and advanced AI agents.
Trimester 1
Month 1
Structured Approach to Problem Solving
Learn systematic methods to analyze and solve complex AI problems effectively.
Data Curation and Feature Engineering
Master data preparation techniques for building robust AI models.
Prompted Engineering
Explore prompt optimization techniques for better AI and GenAI interactions.
Month 2
AI and ML Process and Workflow
Understand the end-to-end AI and machine learning development lifecycle.
Machine Learning Algorithms
Dive into essential algorithms driving modern AI applications.
Month 3
Deep Learning Algorithms and NLP
Study advanced neural networks and natural language processing fundamentals.
Deep Dive into NLPs
Gain expertise in cutting-edge NLP techniques and applications.

Comparison

Redefining AI education with IIT Roorkee's industry-focused, hands-on Certificate for engineers.

1
Institution
2
Focus on Agentic AI
3
Specialization Options
4
Practical Learning
5
GenAI and AI Agent Applications
6
For Engineers
7
Certification Authority
7
Innovation in Curriculum
7
Interactive Learning Model
Traditional Learning Model
On developing management and leadership skills
Soft Skills only including Communication, Teamwork, Critical Thinking, Problem-solving, Negotiation, Leadership
1-2 Generic Electives.Outdated with slower adaptation to new trends
Mixed Peers.Faculty with expertise in Management only
Average salary without specialisation ranges between 8 - 12 LPA
On your own for internships
Only seen a maximum of 30% growth in a decade
World's First Agile-Driven Undergraduate Degree
On Technical Expertise within Business Context
Robust skill set including Leadership, Communication, Critical Thinking, Data-Driven Decision Making, along with expertise in Data Analysis, Product Management, and Tech Acumen.
Mandatory Specialisation in an In-Demand subject. Timely updation of Curriculum
Techie, focused peers.
Tech subjects taught by Tech Experts & Management subjects by Management Experts.
Higher average salary up to 80 LPA due to in-demand tech skills.
Gain 12 months of corporate experience before graduating
Steady 60% Growth in the last 5 Years

Other AI & ML Programs

Institution
Typically department-specific or offered via external partnerships
Focus on Agentic AI
Rare or absent
Specialization Options
Limited or fixed curriculum
Practical Learning
Fewer projects, less practical exposure
Gen AI and AI Agent Applications
Mostly focus on traditional AI/ML topics
For Engineers
Generic audience or broader IT professionals
Certification Authority
Non-IIT institutions or external affiliations
Innovation in Curriculum
Heavily theoretical with minimal innovation in AI tools
Interactive Learning Model
Less interactive or structured learning

IIT Roorkee's AI and Machine Learning Certificate

Institution
Offered directly by IIT Roorkee (no departmental)
Focus on Agentic AI
The only IIT program to include cutting-edge Agentic AI concepts
Specialization Options
Provides multiple specialization tracks for customized learning
Practical Learning
Learn over 15+ AI tools and 15 + real-world projects
Gen AI and AI Agent Applications
In-depth focus on Generative AI, Agentic AI & machine learning
For Engineers
Tailored specifically for working engineers and technical professionals
Certification Authority
Certified by IIT Roorkee
Innovation in Curriculum
Incorporates hands-on AI tool-building along with theoretical foundations
Interactive Learning Model
Practical workshops, talks from 40+ FLC/industry leaders, and a collaborative learning environment
Apply Now

Regular AI  Programs vs IIT Roorkee's

Institution
Typically department-specific or offered via external partnerships
Institution
Offered directly by IIT Roorkee (no departmental)
Focus on Agentic AI
Rare or absent
Focus on Agentic AI
The only IIT program to include cutting-edge Agentic AI concepts
Specialization Options
Limited or fixed curriculum
Specialization Options
Provides multiple specialization tracks for customized learning
Practical Learning
Fewer projects, less practical exposure
Practical Learning
Build over 50+ AI tools and 15 + real-world projects
Gen AI and AI Agent Applications
Mostly focus on traditional AI/ML topics
Gen AI and AI Agent Applications
In-depth focus on Generative AI, Agentic AI & machine learning
For Engineers
Generic audience or broader IT professionals
For Engineers
Tailored specifically for working engineers and technical professionals
Certification Authority
Non-IIT institutions or external affiliations
Certification Authority
Certified by IIT Roorkee
Innovation in Curriculum
Heavily theoretical with minimal innovation in AI tools
Innovation in Curriculum
Incorporates hands-on AI tool-building along with theoretical foundations
Interactive Learning Model
Less interactive or structured learning
Interactive Learning Model
Practical workshops, talks from 25 + FLC/industry leaders, and a collaborative learning environment
Apply Now

Pathway After The Program

Completing this program prepares you to lead and innovate in the AI-driven future.
Here’s what lies ahead:

72% of business leaders see AI as a key competitive advantage in the next 5 years (PwC).
AI is projected to add $15.7 trillion to the global economy by 2030 (McKinsey).
AI job growth is expected to rise by 22% between 2020 and 2030 (U.S. Bureau of Labor Statistics).

Gain Expertise:

Build hands-on skills in cutting-edge AI tools and technologies.

Solve Real-World Problems

Create impactful solutions for industries like healthcare, manufacturing, and software.

High Demand

AI is projected to add $15.7 trillion to the global economy by 2030 (McKinsey).

Competitive Edge

72% of business leaders see AI as a key advantage (PwC).

Thriving Job Market

AI job growth is expected to rise by 22% by 2030 (U.S. Bureau of Labor Statistics).

Apply Now
*Futurense does not promise/guarantee a job offer.
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EY  logo
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HSBC logo
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J P Morgan logo
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Nestle logo
Deloitte logo
Tesla  logo
London Stock Exchange  logo
EY  logo
Accenture logo
BlackRock logo
ticketmaster logo
Apple logo
Lockheed martin logo
HSBC logo
Honeywell logo
Amazon logo
J P Morgan logo
Trend Micro logo
Nestle logo
Deloitte logo
Tesla  logo
London Stock Exchange  logo
EY  logo
Accenture logo
BlackRock logo
ticketmaster logo
Apple logo
Lockheed martin logo
HSBC logo
Honeywell logo
Amazon logo
J P Morgan logo
Trend Micro logo
Nestle logo
Deloitte logo
Tesla  logo
London Stock Exchange  logo
EY  logo
Accenture logo

Projected Salaries

Claim These High-Paying Job Roles!

GenAI Engineer
₹20-30 LPA
per annum
AI Agent Developer
₹18-25 LPA
per annum
AI Strategist
₹35-50 LPA
per annum
ML Engineer
₹15-25 LPA
per annum
Chief AI Officer (CAIO)
₹60 LPA
per annum
AI Robotics Engineer
₹ 20-25 LPA
per annum
AI Product Manager
₹ 30-60 LPA
per annum
Machine Learning Engineer
₹ 15-30 LPA
per annum


5-Step Career Assistance 

Strategic Career Support by Futurense

Unlock your career potential with tailored programs designed to help you succeed

Profiling
We will understand your expertise and help you craft the perfect profile.
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Job Role
Mapping
We will align your profile with the job role that’s just perfect for both you and the employer.
Free Bridge Course
We have curated additional career-oriented courses to help you upskill and stand out.
Interview
Preparation
We have devised exclusive Interview Prep Mini Courses and mock interviews just for you!
Let's set you on the path to a high-growth career* with our 5-Step Career Assistance
Sign Up
*Futurense does not promise/guarantee a Job offer
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Feedback
& Review
We gather feedback from interviewers and provide timely reviews to make your candidature 10x better!

PG Certification in AI, GenAI, Agentic AI and Machine Learning Applications

Gain cutting-edge skills through a blend of technology and practical learning, earning a prestigious PG certification.

⁠ ⁠Mock Interviews &
Mentor Connects

Practice real-world interviews and get personalized guidance from industry experts to navigate your career confidently.

LinkedIn
Optimization

Stand out with expert strategies to highlight your skills and boost your professional presence.

⁠ ⁠Resume Support

Craft a standout CV tailored to showcase your strengths and attract recruiters.

Exclusive Interview Playbook

Access insider tips, common questions, and sample answers to ace your interviews.

Apply Now
*Futurense does not promise/guarantee a job offer.
Apply Now
*Futurense does not promise/guarantee a job offer.

Learn from the Futurense
Leadership Council

Get industry insights and mentorship directly from an exclusive community of AI experts and CXOs from MAANG companies and Fortune 500s. 

Akshay Kumar
Research & Analytics Leader
Ishu Jain
Head Of Central Analytics
Tushar Sahu
Director Engineering
Nithya Subramaniyam
Head of Data & Analytics - AMEA
Saurabh Kumar
Director - Data Engineering
Vishal Nagpal
Data Science and Analytics Leader
Pankaj Rai
Group Chief Data and
Analytics Officer
Vishal Nagpal
Data Science and
Analytics Leader
Tushar Sahu
Director
Engineering
Ishu Jain
Head of
Analytics
Kaushik Das
Managing
Director
Shrisha Ray
Director of
Engineering
Divesh Singla
Head  APAC & Managing Director India & Philippines
Ruchika Singh
Director , Data Science
& Insights
Arvind Balasundram
Executive Director, Commercial Insights & Analytics
Indrani Goswami
Director of
Analytics
Saurabh Kumar
Director - Data
Engineering
Saurabh Agarwal
Chief Executive
Officer
Supria Dhanda
Co-Founder & Managing
Partner
Ankit Mogra
Director - BI &
Analytics
Ashish Dabas
Vice
President
Ashish Dabas
Vice
President
Nitin Srivastava
Data & Analytics
India Lead
Anupam Gupta
VP Enterprise Data and
Analytics
Anupam Gupta
VP Enterprise Data and
Analytics
Muthumari S
Global Head of Data &
AI Studio
Anand Das
Chief digital & AI Officer: Engineering
A V Rahul
Director,
Analytics
Madhu Hosadurga
Global Vice President,
Enterprise AI
Aditya Khandekar
President
Pankaj Srivastava
Partner
Satyakam Mohanty
Founder & Managing
Partner
Sharmistha Chaterjee
Vice President - Data and AI Shared Capabilities
Anirban Nandi
Head of AI Products & Analytics (Vice President)
Monica S Pirgal
Managing Director &Site head - Board member
Sumon Mal
Head of
Engineering
Srini Oduru
Head of IT Delivery and Operations
Alok Tiwari
Vice President -
Data
Akshay Kumar
Research & Analytics
Leader
Deepa Mahesh
Head of Strategy & Operations, Board Member
Swati Jain
Partner - Digital, AI &
Analytics
Krithika Muthukrishnan
Chief Data Science
Officer
Tushar Chahal
Chief Technology
Officer
Sulabh Jain
Chief Analytics
Officer
Aneel kumar
Global Chapter Leader - ICSS, DD&T
Arpit Agarwal
Head of Data Science and Analytics
Bhairav M
Senior Manager Data Science and Product Management
Ashish Dabas
Vice
President
Nitin Srivastava
Data & Analytics
India Lead
Anupam Gupta
VP Enterprise Data and
Analytics
Muthumari S
Global Head of Data &
AI Studio
Anand Das
Chief digital & AI Officer: Engineering
A V Rahul
Director,
Analytics
Madhu Hosadurga
Global Vice President,
Enterprise AI
Aditya Khandekar
President
Pankaj Srivastava
Partner
Satyakam Mohanty
Founder & Managing
Partner
Sharmistha Chaterjee
Vice President - Data and AI Shared Capabilities
Anirban Nandi
Head of AI Products & Analytics (Vice President)
Monica S Pirgal
Managing Director &Site head - Board member
Sumon Mal
Head of
Engineering
Pankaj Rai
Group Chief Data and
Analytics Officer
Vishal Nagpal
Data Science and
Analytics Leader
Tushar Sahu
Director
Engineering
Ishu Jain
Head of
Analytics
Kaushik Das
Managing
Director
Shrisha Ray
Director of
Engineering
Divesh Singla
Head  APAC & Managing Director India & Philippines
Ruchika Singh
Director , Data Science
& Insights
Arvind Balasundram
Executive Director, Commercial Insights & Analytics
Indrani Goswami
Director of
Analytics
Saurabh Kumar
Director - Data
Engineering
Saurabh Agarwal
Chief Executive
Officer
Supria Dhanda
Co-Founder & Managing
Partner
Ankit Mogra
Director - BI &
Analytics
Srini Oduru
Head of IT Delivery and Operations
Alok Tiwari
Vice President -
Data
Akshay Kumar
Research & Analytics
Leader
Deepa Mahesh
Head of Strategy & Operations, Board Member
Swati Jain
Partner - Digital, AI &
Analytics
Krithika Muthukrishnan
Chief Data Science
Officer
Tushar Chahal
Chief Technology
Officer
Sulabh Jain
Chief Analytics
Officer
Aneel kumar
Global Chapter Leader - ICSS, DD&T
Arpit Agarwal
Head of Data Science and Analytics
Bhairav M
Senior Manager Data Science and Product Management
Saurabh Agarwal
Chief Executive
Officer
Supria Dhanda
Co-Founder & Managing
Partner
Ankit Mogra
Director - BI &
Analytics

5 Simple Steps to Start Your IIT Adventure

Step 01
Apply
Step 02
Screening Test
Step 03
Application
Processing Fee
Step 04
Offer Letter
Step 05
Succesful Enrollment

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Frequently Asked Questions

What makes this program unique compared to others in AI?

This program is one of the first to emphasize Agentic AI, going beyond traditional AI and Generative AI to focus on creating intelligent, autonomous systems. With IIT Roorkee’s academic excellence and industry-driven curriculum, it’s designed to make you a pioneer in cutting-edge AI technologies.

 What tools and technologies will I learn during the program?

You will work with industry-leading tools like LangChain, AutoGen, CrewAI, Hugging Face, and GPT-4, among others. The program also introduces advanced Agentic AI systems to prepare you for the future of AI applications.

Can I pursue this program while working full-time?

Yes, the program is designed with working professionals in mind. It offers flexible recorded modules for self-paced learning alongside live online masterclasses on weekends. This structure ensures you can balance work and study effectively.

What industries will benefit from skills in Agentic AI and Generative AI?

Industries like healthcare, finance, autonomous vehicles, robotics, education, entertainment, and e-commerce are rapidly adopting Agentic AI and Generative AI. These skills will position you to contribute to and lead innovations in these high-growth sectors.

What kind of real-world projects will I work on?

The program includes 15+ real-world projects covering applications such as AI-powered chatbots, autonomous decision-making systems, and content generation tools. The capstone project will challenge you to solve a real business problem, preparing you for practical, on-the-job applications.