IIT Mandi - Minor Program in FullStack AI Engineering
Become the FullStack AI Engineer Building Tomorrow’s GenAI Systems

Start Date
January 2026 (Tentative)
Duration
11 Months | 192 Hours
Course Fee
₹70,000
Credits
18 IIT Credits
Format
Hybrid (Live Online + Optional Campus Immersion at IIT Mandi)
Your Launchpad to FullStack AI Engineering
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The World Runs on AI. This Program Trains You to Build It.
The Minor in FullStack AI Engineering at IIT Mandi equips you to design, deploy, and ship real AI systems. From coding foundations to GenAI workflows and cloud deployment, you’ll graduate with projects the world actually runs on.
About IIT Mandi
Founded in 2009, the Indian Institute of Technology Mandi (IIT Mandi) is one of India’s premier second-generation IITs, located in the scenic Kamand Valley of Himachal Pradesh. Known for its application-driven research, innovation, and sustainability focus, IIT Mandi has rapidly emerged as a hub for AI, robotics, computing, and interdisciplinary education.
Spread across 530 acres, it is among the greenest campuses in the country, with state-of-the-art labs, high-performance computing clusters, and Centers of Excellence in AI & Robotics, Sustainable Development, Human-Computer Interaction, and Clean Energy.
Through flexible, industry-aligned programs like the Minor in FullStack AI Engineering, IIT Mandi continues to shape the next generation of technologists equipped to lead India’s AI-first future.
About the Director
Prof. Laxmidhar Behera | Director, IIT Mandi
He is a distinguished academician in intelligent systems and robotics with over 25 years of experience. Before joining IIT Mandi, he served as the Poonam and Prabhu Goel Chair Professor at IIT Kanpur. His expertise spans robotics, AI control systems, brain-computer interfaces, and warehouse automation, with collaborations worldwide, including ETH Zurich and the University of Texas.
Under his leadership, IIT Mandi is strengthening its interdisciplinary vision, preparing future technologists who can deploy AI where it matters most.
About Head of CCE
Dr. Tushar Jain, serving as an Associate Professor and the Dean of Students at IIT Mandi, earned his Ph.D. in Control, Identification, and Diagnostic from Université de Lorraine, France. His research focuses on mathematical control theory, fault-tolerant control, and climate-controlled agriculture. Dr. Jain leads the Centre for Continuing Education at IIT Mandi, where he emphasizes the importance of equipping students with practical AI skills. He asserts, “AI is the skill of the century, and our vision is to prepare students for the tech-driven future and consequently build a robust, future-proof workforce for India.”
Program Director
Prof. Aditya Nigam | Associate Professor, School of Computing & Electrical Engineering, IIT Mandi
Prof. Aditya Nigam specializes in deep learning, biometrics, and computer vision. At IIT Mandi, he has developed advanced AI courses and led research that applies neural networks to breakthroughs in medical imaging and biometric identification. His focus is on translating theory into practical solutions, shaping students into industry-ready AI professionals.
Program Director
Prof. Adarsh Patel | Assistant Professor, School of Computing & Electrical Engineering, IIT Mandi
Prof. Adarsh Patel brings global experience from IIT Kanpur, IISc Bangalore, and Syracuse University, USA. His research spans 5G/6G wireless networks, cooperative communication, quantum encryption, and massive MIMO systems. A recipient of the INAE Innovative Student Project Award (2017) and TCS Research Fellowship, he is an active member of IEEE, TSDSI, Bharat 6G Alliance, and TCoE, driving the future of AI-powered connectivity and communication technologies.
What Does Our Program Teach? How Does It Help to Become Future-Ready?
From Code to Deployable AI… in 11 Months
Module 1: Onboarding & Placement Preparation
Module 1: Onboarding & Placement Preparation
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Module 2: Core Programming & Data Engineering
Module 2: Core Programming & Data Engineering
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Module 3: Data Processing & Exploratory Data Analysis
Module 3: Data Processing & Exploratory Data Analysis
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Module 4: Statistical Modeling & ML Fundamentals
Module 4: Statistical Modeling & ML Fundamentals
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Module 5: Supervised & Unsupervised Machine Learning
Module 5: Supervised & Unsupervised Machine Learning
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Module 6: Deep Learning Foundations
Module 6: Deep Learning Foundations
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Module 7: Advanced Computer Vision & NLP
Module 7: Advanced Computer Vision & NLP
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Module 8: Generative AI & Prompt Engineering
Module 8: Generative AI & Prompt Engineering
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Module 9: Advanced Generative AI & Agentic AI
Module 9: Advanced Generative AI & Agentic AI
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Module 10: MLOps & Cloud Essentials
Module 10: MLOps & Cloud Essentials
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Module 11: Capstone & Portfolio Showcase
Module 11: Capstone & Portfolio Showcase
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Skills You’ll Walk Away With…
Build Smarter & Faster with 30+ tools







Inside India’s AI Clinic for Engineers
Welcome to the AI Clinic, where students stop learning in theory… and start building, breaking, and shipping AI systems.
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
Students must have completed their 12th grade or equivalent education with a minimum of 60%.
Educational Qualification
Undergraduate Students in B.Tech, BE, BCA, BS, BSc in Computer Science, IT, Engineering, or related fields.
M.Sc.Postgraduate Students in MCA, MBA, M.Sc, or M.Tech learners with exposure to programming, analytics, and systems.
Work Experience
Early-career professionals (0-2 years) in software, data, or IT roles are welcome.
Prior Knowledge
Basic familiarity with programming (Python preferred), databases, and problem-solving.
Selection Process
Short qualifying test covering logical reasoning, programming fundamentals, and AI readiness.

Engineering Undergraduates
looking to add IIT-backed AI skills alongside their degree
MCA / MSc / MTech Students
who want a future-ready AI edge
Early-Career Professionals
(0-2 years) in software, testing, or IT roles
Aspiring AI Engineers
who want to build & deploy AI systems, not just study theory

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
New to Coding or AI?
We’ve Got You Covered!
Begin your journey with the Futurense Bridge Course, included free with your enrollment.
Key Highlights
- 30+ hours of foundation learning across math, coding, and AI
- Weekly live sessions with IIT Mandi faculty & mentors
- Mathematics refresher: algebra, probability, statistics, linear algebra essentials
- Python programming: logic building, problem-solving, and scripting basics
- SQL & databases: queries, joins, and structured data handling
- Intro to Data Science & AI: fundamentals of ML, AI concepts, and workflows
- Prepares you to hit the ground running from Day 1.
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
Apply Online
Pay ₹49 and apply for an online screening test.
Step 2
Qualifying Test
Clear a short test to validate your programming and problem-solving readiness.
Step 3
Counselling Session
After clearing the test, book a free counselling session to discuss eligibility, program details, and clarify doubts.
Step 4
Secure Your Seat
Complete your admission process by paying the application fee and secure an offer letter from IIT Mandi.
Step 5
Begin the Bridge Course
Start with the Futurense Bridge Course to build strong foundational knowledge before the main program begins.
Step 6
Begin Live Weekend Sessions
Attend interactive classes led by IIT Mandi faculty, supported by weekday hands-on labs.
Step 7
Hands-On Labs & Mini Projects
Work on real-world datasets, coding assignments, and portfolio-driven projects after each module.
Step 8
Futurense AI Clinic
Apply your learning in a live, industry-simulated environment with projects, peer reviews, and mentorship.
Step 9
Capstone Project & Showcase
Deliver an end-to-end GenAI application, from data ingestion to cloud deployment, reviewed by IIT faculty and industry mentors.
Step 10
10. Optional Campus Immersion
Join a 5-day optional immersion at IIT Mandi to network, collaborate, and present your capstone on campus.
Fee Structure
Upfront Payment
EMI Plan (via NBFC Partners)
Application Token
Bridge Course Fee
Certification Fee
Total
1. Zero-Cost EMI available up to 12 months.
2. Low-cost EMI options are available (For Eligible Candidates)
Low-Cost EMI Options
6, 9, 12 & 24 months tenure available
NBFC Partners
Zero-cost EMI for eligible candidates
Payment Modes
UPI, Netbanking, Credit/Debit Cards
Roles That’ll Be Looking For You
Full Stack AI Developer
₹4 L – ₹16 L (Jr/Mid), up to ₹21 L+
MLOps Engineer
₹6 L – ₹18 L (Jr/Mid), up to ₹20–35 L+
GenAI / LLMOps Engineer
₹6 L – ₹20 L (Jr/Mid), up to ₹25–35 L+
Applied ML / NLP Specialist
₹8 L – ₹25 L+ (Jr/Mid), up to ₹28 L+
Data Engineer (AI / ML / GenAI focus)
₹6 L – ₹18 L (Jr/Mid), up to ₹28 L+
AI Product / Platform Engineer
₹7 L – ₹16 L (Jr/Mid), up to ₹25 L+
Led by the Futurense Leadership Council (FLC)
Learn directly from IIT Mandi faculty and industry experts who are redefining how AI systems are built and deployed. With their guidance, you’ll go beyond theory, gaining the skills to become a full-stack, deployment-ready AI engineer.
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?
Whether you’re starting out or leveling up… if you’re ready to design, deploy, and scale real-world AI systems from code to cloud, this is your moment.

Frequently Asked Questions
We know you might have some questions before getting started in our platform
What is the name of the program and who offers it?
The program is titled Minor Program in Fullstack AI Engineering, which is offered collaboratively by CCE, IIT Mandi and Futurense Technologies.
What is the duration of the program and when does it start?
11 months, January 2026 (Tentative)
What makes this program unique compared to other AI certifications?
This program focuses on producing complete AI product engineers rather than just data scientists. Key differentiators include:
1. End-to-end development: Hands-on experience with frontend technologies (React / Streamlit) and backend APIs.
2. Complete deployment stack: Covers MLOps, CI/CD pipelines, and cloud integration for deploying scalable AI applications.
3. Advanced AI concepts: Specialized training in Generative AI, Prompt Engineering, and Agentic AI systems.
4. Job readiness focus: Incorporates competitive coding and interview preparation to ensure practical skills and employability.
5. Structured capstone project: Students integrate their learnings into a real-world project with GitHub portfolio integration for professional showcase.
What is the medium of instruction?
The program will be conducted entirely in English.
What are the eligibility criteria to apply?
- A minimum of 50% marks in the previous semester or graduation.
- Candidates must pass a pre-screening test to assess their readiness for the program.
Who should ideally enroll in this program?
This program is ideal for:
1. Students who have completed their 12th grade or equivalent education with a minimum of 60%
2. Undergrad students from BTech/BE/BS/BCA and BSc in Computer Science, Electronics, or related branches.
3. MCA, M.Sc, M.Tech or MBA learners with exposure to programming, analytics, and systems
4. Aspiring engineers and early-career tech professionals eager to specialize in Fullstack AI Engineering
Is there a pre-screening exam, and is coding knowledge required?
Yes, a pre-screening exam will be conducted. Applicants should have a basic understanding of coding
(preferably in Python), as this knowledge is essential for the program.
What is the cost of the pre-screening/qualifier test?
The pre-screening or qualifier test costs ₹49, which is non-refundable and not included in the program
fees.
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)
Will I receive a CCE, IIT Mandi ID card and official email ID?
Yes, you will receive an ID card and an official email ID from CCE, IIT Mandi after signing an under taking for the duration of the program. These will be provided to you to facilitate your academic and program-related
activities.
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 are the key modules covered in the curriculum?
The curriculum covers a comprehensive range of topics, including:
1. Python Programming
2. Data Engineering (SQL, APIs, pipelines)
3. Machine Learning and Statistical Models
4. Unsuper vised Learning
5. Deep Learning (with tools like HuggingFace)
6. Generative AI and Prompt Engineering
7. Agentic AI Systems (LangChain, RAG, Autogen)
8. Frontend Development (React/Streamlit)
9. Backend APIs and MLOps
10. CI/CD and Deployment Workflows
11. Integrated Capstone Project
What AI tools and platforms will I learn?
Throughout the program, students will gain hands-on experience with cutting-edge AI tools and
platforms:
1. HuggingFace for Deep Learning
2. LangChain, RAG, and Autogen for Agentic AI
3. Streamlit and React for UI Development
4. MLOps Pipelines and CI/CD tools for scalable deployments
5. GitHub for version control and collaboration
Will I get a certificate after completing the program?
Yes you will receive a cer tificate from IIT Mandi post completion of the program criteria
Will the program include practical exercises?
Yes, the program will emphasize hands-on learning through practical coding exercises, mini-projects, and
real-world datasets. Students will gain experience with actual AI tools and platforms used in the industry.
How does the program ensure industry readiness?
The curriculum integrates real-world industry applications, AI product development, and job-preparation modules. Competitive coding, hands-on experience, and a structured capstone project
ensure that students are ready to face industry challenges head-on.
How will the capstone project be structured?
The capstone project will require students to integrate their learnings throughout the course into a comprehensive, real-world project.
Is there any industry collaboration during the program?
Yes, the program features collaborations with industry partners to provide students with practical exposure to real-world A I problems and applications. Guest lectures, case studies, and live project opportunities will be integrated into the curriculum.
What is the total fee and what does it include?
The total program fee is Rs 70,000 (includes Rs 4,000 non refundable - application fees)
This fee covers:
1. Tuition fees
2. Capstone project and its assessment
3. Certification upon successful completion
Note: Additional fees may apply for optional campus immersion.
Are there financing or loan options available?
Yes, Futurense has tie-ups with leading education financing companies such as Propelld, Avanse, IDFC, and ICICI. These par tnerships offer financing solutions for eligible candidates.
What documents are needed for loan applications?
For education financing or self-funding, candidates will need:
1. Aadhaar & PAN card
2. Last 3 months ' bank statements
3. Salary slips (if employed)
4. Graduation mark sheets
5. Photograph (ID )
Can I self-fund the program?
Yes, candidates have the option to self-fund the program either partially or in full, without the need for a
loan.
Is there any EMI plan available, if yes, what is the structure?
The EMI fee structure for the Minor Program in Fullstack AI Engineering
is as follows :
1. Monthly EMI: ₹8,800 for 9 months
2. One-time payment: ₹4,000 (Application fees - non refundable)
Is campus immersion mandatory?
No, campus immersion is optional.
It is designed for students who wish to experience in-person learning
at CCE, IIT Mandi.
What is the cost of the optional campus immersion?
The cost for campus immersion will be communicated by CCE, IIT Mandi at a later date. This will cover expenses related to accommodation, food, and other logistical arrangements during the immersion.
Will hostel accommodation be provided?
Yes, hostel accommodation will be provided by CCE, IIT Mandi.
What job roles can I expect after completing the program?
Graduates of this program will be well-prepared for the following roles :
1. Fullstack AI Engineer
2. Generative AI Application Developer
3. MLOps /Deployment Engineer
4. AI Software Developer
5. Prompt Engineer
6. Back end API Developer (with AI integration)
7. Frontend Developer (with AI integration)
Will there be any support after completion of the program?
Yes, upon completing the program, graduates will receive career suppor t from Futurense, including mock
inter views, CV reviews, and job placement assistance.