IIT Gandhinagar - PG Diploma Program in AI & Agentic AI Engineering
Build, Deploy & Scale AI Systems That Work in the Real World
Start Date
Coming Soon
Format
Fully Residential, On-Campus
Duration
6 Months | ~600 Hours (70% Labs & Projects)
Application Deadline
Fully Residential, On-Campus
Fees
₹6,00,000 - 4.5 L (Tuition Fees)+ 1.5 L (Hostel and Lodging)
Why this program? Because AI talent gaps are real, and IIT Gandhinagar is bridging them.
About IIT Gandhinagar & Program Directors
About IIT Gandhinagar
The Indian Institute of Technology Gandhinagar (IITGN), established in 2008, is one of India’s youngest IITs and has quickly built a reputation for its student-first philosophy, agile curricula, and bold interdisciplinary research culture. Ranked #25 in NIRF 2025, IITGN is located on a 400-acre eco-friendly campus on the banks of the Sabarmati River, the first academic campus in India to earn a 5-star GRIHA-LD sustainability rating. With state-of-the-art classrooms, innovation labs, and vibrant student life, IITGN offers a truly modern IIT experience where ideas move seamlessly from whiteboards to real-world prototypes.
Program Director
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Program Director
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Residential Experience
@ IIT Gandhinagar
This is not an online course; it’s a fully residential journey designed to shape not just your skills, but your mindset as an AI professional.
How it helps you become future-ready
Dimension
After the Program
Before the Program
The program is structured into 9 core modules + 1 capstone project, covering foundations to advanced Agentic AI systems.
Module 1: Foundations of AI & Data
Module 1: Foundations of AI & Data
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Module 2: Pythonic ML & DL Basics
Module 2: Pythonic ML & DL Basics
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Module 3: Deep Learning & Neural Networks
Module 3: Deep Learning & Neural Networks
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Module 4: NLP for GenAI
Module 4: NLP for GenAI
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Module 5: Generative AI & LLMs
Module 5: Generative AI & LLMs
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Module 6: LLM Mastery & Prompt Engineering
Module 6: LLM Mastery & Prompt Engineering
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Module 7: Production AI for Real-World Applications
Module 7: Production AI for Real-World Applications
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Module 8: Agentic AI with LangChain
Module 8: Agentic AI with LangChain
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Module 9: Agentic AI with LangGraph, AutoGen & CrewAI
Module 9: Agentic AI with LangGraph, AutoGen & CrewAI
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Capstone Project: End-to-End AI Solution
Capstone Project: End-to-End AI Solution
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Skills You’ll Walk Away With…
Build Smarter & Faster with 30+ AI tools
Inside India’s AI Clinic
The AI Clinic is where theory ends and real-world building begins. It’s your lab, your sandbox, and your proving ground, designed to simulate how enterprises actually adopt and scale AI.
This is where you’ll transform into a builder enterprises can trust, not just someone who “knows” AI, but someone who can deliver AI.
Your Career, Our Commitment
From Day 1 to your next role, we guide you at every step.
Diagnostic Test & Evaluations
Start with a test and multiple evaluations to sharpen product thinking and AI skills.
Live Industry Sessions
2-3 monthly Chai Talks, AI workshops, and career discussions with industry leaders.
Exclusive 1:1 Mentorship
Offered for top performers meeting benchmarks, includes personal mentorship and mock interview.
Futurense Breakfast Club
Weekly alumni meetups with case discussions and hiring lead exchanges.
Real Projects at AI Clinic
Work on live RFPs and challenges to build a strong industry-relevant portfolio.
Resume That Gets Shortlisted
Workshops & expert reviews focused on creating resumes tailored for leadership roles.
Mock Interviews & Feedback
Simulated interviews with actionable performance feedback.
Built for People Like You?
Freshers
Bachelor’s degree in Engineering, Computer Science, IT, Mathematics, or related fields.
Educational Qualification
MCA, M.Sc., or M.Tech graduates with exposure to tech/analytics are also eligible.
Grades
Minimum 50% in graduation.
Selection Process
Selection through Application → Pre-Screen Test → Interview.
Freshers
Fresh B.Tech / B.Sc graduates aiming to break into AI/Data/Software roles.
Early-career professionals
Early-career professionals (0-3 years exp.) looking for career acceleration.
Developers and analysts
Developers and analysts who want to pivot into AI/ML, Data Engineering, or Agentic AI roles.
Anyone who wants IIT Identity + Portfolio
Anyone who wants the IIT identity + hands-on portfolio for high-growth careers.
Qualifying Test
What You’ll Be Tested On
Important Guidelines
- 75 minutes, online non-invasive test with MCQs + short coding questions
- No advanced AI knowledge required; designed to test aptitude & readiness
- Mandatory for all applicants to ensure IIT Mandi’s academic standards
Feeling Underconfident With AI? Brush Up With
Before the core program begins, every learner goes through a structured Bridge Course to level the playing field and ensure readiness.
What You’ll Cover:
- Mathematical Foundations for AI - Linear algebra, probability, and statistics simplified for practical AI applications.
- Python Programming Basics - Essential programming skills to write, debug, and run AI workflows.
- Git & Software Development Basics - Version control, collaboration, and coding best practices for team projects.
- Introduction to Machine Learning Concepts - Core ideas of supervised, unsupervised, and reinforcement learning.
- Prompt Engineering & Generative AI Essentials - Fundamentals of working with LLMs, prompt design, and GenAI use cases.
Worth ₹29,000 — included free with your enrollment.
Weekly one hour live online training and 30+ hours of self guided learning
Student Journey
Step 1
Application Submission
Fill out the online form with your academic background, experience, and career goals.
Step 2
Eligibility Screening
Profiles are evaluated to ensure you meet the minimum requirements.
Step 3
Pre-Screening Test
Take an online test covering programming basics, logical reasoning, and AI readiness.
Step 4
Personal Interview
Shortlisted candidates will appear for an interview with program faculty/mentors.
Step 5
Offer & Confirmation
Receive your admission offer and confirm your seat by paying the enrollment fee.
Step 6
Onboarding & Hostel Allocation
Report to IIT Gandhinagar for orientation, campus induction, and the start of your residential journey.
Fee Structure
Upfront Payment
EMI Plan (via NBFC Partners)
Application Token
Tuition Fee
Hostel & Lodging
Certification Fee
Total
- 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.
- Fees include tuition, hostel, and lodging for the full 6-month residential program at IIT Gandhinagar.
- Deserving candidates opting for the upfront payment plan may be eligible for a scholarship of up to ₹15,000.
- EMI plans available through NBFC partners with flexible tenures (6, 9, 12, or 24 months).
Low-Cost EMI Options
6, 9, 12 & 24 months tenure available
NBFC Partners
Propelld, Avanse, Northern ARC and more.
Payment Modes
UPI, Netbanking, Credit/Debit Cards
Roles That’ll Be Looking For You
AI/ML Engineer
₹8-14 LPA
Generative AI Developer
₹10-18 LPA
Junior MLOps Engineer
₹8-12 LPA
AI Solutions Associate
₹9-15 LPA
Data Engineer / Cloud Data Engineer
₹8-14 LPA
Full-Stack AI Developer
₹10-16 LPA
Led by the Futurense Leadership Council (FLC)
Industry leaders from the worldʼs AI-first brands.. now guiding your journey to become a FullStack AI Developer.
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 – 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
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
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
A V Rahul
Director, Analytics, - Barracuda
Ready to Build AI That Powers the Future?
Applications are open now. Don’t miss your chance to earn an IIT Gandhinagar PG Diploma and step into tomorrow’s AI-first careers.
Frequently Asked Questions
We know you might have some questions before getting started in our platform
What is this program and who is offering it?
A fully residential, intensive 6-month PG Diploma in AI / Agentic AI Engineering jointly offered by IIT
Gandhinagar and Futurense Technologies. It blends applied AI/ML, GenAI, and Agentic AI with production deployment skills and a capstone.
What makes this program different?
It’s product- and deployment-oriented: end-to-end ML/DL + LLMs + multi-agent systems (LangChain, LangGraph, AutoGen, CrewAI), with strong hands-on labs and a productiongrade capstone so you graduate with job-ready skills and a portfolio
What is the medium of instruction?
English
How long is the program and what s the weekly rhythm?
Six months on campus. Expect immersive weekdays with lectures, labs/practicals, and guided capstone blocks.
Is it fully residential? What facilities are provided?
Yes. On-campus hostel accommodation is provided for the program duration. Mess facilities and campus amenities are available as per institute norms
Are there breaks or holidays?
Short breaks are scheduled per IIT Gandhinagar’s academic calendar
Who can apply?
Bachelor’s degree holders in CS/IT/ECE/Maths or related disciplines; final-year UG students (at institute’s discretion); or 3-year technical diploma holders with relevant experience. You should be comfortable with Python basics and 10+2 math (linear algebra & probability).
Is there a qualifier test?
Yes. A pre-screening/qualifier evaluates readiness. A nominal, non-refundable fee may apply for the
qualifier.
What documents are required for application?
Candidates will need to submit the following documents:
1. Aadhar Card
2. Date of Birth (DOB) as per Aadhar (DD/MM/YYYY)
3. Resume
4. Graduation Marksheet and Degree Certificate (cross-verified with scores entered in the application portal)
5. 10th & 12th Marksheets
6. Previous Experience Letter, Offer Letter, and Salary Slip (if applicable)
How am I evaluated?
A balanced mix of quizzes, mid-term and end-term exams, plus project work
How is the teaching format structured?
The program will be delivered online through live sessions on Saturdays and Sundays each for 3 hours. The sessions will be scheduled based on the faculty's availability.
What exam integrity measures are used?
Identity verification, controlled environments, live invigilation, screen and activity logging, and anticheating safeguards, as detailed in the reference assessment framework.
How do I apply?
Submit the online application with required documents; upon screening, shortlisted candidates take the qualifier. Selected candidates receive an offer with fee, hostel details, reporting date, and payment
timelines.
Whom can I contact for queries?
The program office (IIT Gandhinagar × Futurense) will share contact coordinates in the admission circular/
offer letter
Is it fully residential? What facilities are provided?
Yes. On-campus hostel accommodation is provided for the program duration. Mess facilities and campus amenities are available as per institute norms.
What will I learn?
The program spans:
1. Foundations of AI & data, ethics.
2. Pythonic ML.
3. Deep Learning.
4. NLP for GenAI.
5. Generative AI & LLMs.
6. LLM Mastery & Prompt Engineering.
7. Production AI (cloud/MLOps/CI-CD).
8. Agentic AI with LangChain.
9. Advanced multi-agent systems with LangGraph/AutoGen/CrewAI.
10. Capstone
What tools and platforms are used?
Python, scikit-learn, TensorFlow / PyTorch, Hugging Face, LangChain / LangGraph / AutoGen / CrewAI, vector DBs, MLflow / W&B, Docker / Kubernetes, FastAPI, and cloud services (AWS / Azure / GCP).
How hands-on is the program?
Very. Each module couples theory with substantial labs, mini-projects, and an end-to-end production capstone (design→build→deploy→present)
How is the capstone structured?
You will define a real problem, build data/ML/LLM/agent pipelines, deploy to cloud, instrument CI/CD, and present with monitoring and governance—mirroring real production systems.
What are attendance requirements?
Regular attendance is mandatory, with marks allocated as per the assessment framework above. Labs, projects, and capstone reviews are compulsory.
What credential will I receive?
Upon successful completion of all academic and conduct requirements, you’ll earn a PG Diploma certificate co-branded with IIT Gandhinagar and Futurense Technologies
What roles does the program prepare me for?
1. AI/ML Engineer.
2. Generative AI Engineer.
3. MLOps/Deployment Engineer.
4. AI Software Developer.
5. Prompt Engineer.
6. AI/GenAI Consultant
What kind of portfolio will I graduate with?
A production-grade capstone showcasing ML/DL + LLM + Agentic pipelines, CI/CD, cloud deployment,
observability, and governance—demonstrable on GitHub with documentation.
What are code of conduct expectations?
Institute conduct rules apply in hostels, labs, classrooms, and common areas. Academic integrity is strictly enforced.
AI-assisted work must follow ethical and citation norms emphasized in the curriculum.
Can I take leaves during the program?
Leave is granted only as per institute rules and academic schedule. Excessive absence may affect
attendance marks and eligibility for assessments.
What is the fee and what does it include?
The final fee will be published in the admission offer. Reference programs include tuition, capstone
assessment, and certification; residential costs (hostel/mess) are indicated in the offer letter.
Are loans or EMIs available?
Yes, Futurense partners with education financiers (e.g., Propelld, Avanse, IDFC, ICICI) for eligible
candidates. Documentation typically includes Aadhaar/PAN, bank statements, payslips (if employed),
academic records, and a photograph.
Is the qualifier test fee refundable?
No. The pre-screening/qualifier fee is nominal and non-refundable, as per the reference policy.
What if I must withdraw?
Withdrawal is governed by the institute’s academic and fee policies communicated in the admission offer; any refunds or deferrals follow those rules. (Qualifier fees are non-refundable.)
What career support is available?
Futurense-led support includes mock interviews, CV reviews, and job-search guidance, aligned with the
program’s industry-ready design.
Will there be industry exposure?
Yes, through guest talks, case studies, and problem statements aligned with enterprise scenarios;
assessment rubrics and tools mirror industry practice.