Start Date

January 2026 (Tentative)

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 enterprises don’t just need data analysts anymore, they need engineers who can build data systems at scale.

Residential Bootcamp Experience - Live and learn on IIT Gandhinagar’s world-class campus for six months.

Portfolio-First Approach - Graduate with 4+ enterprise-grade projects + 1 Capstone, all recruiter-verifiable.

Data Pipeline Mastery – Build ETL/ELT workflows, real-time streaming pipelines, and scalable data architectures.

Big Data & Cloud Platforms – Work with Hadoop, Spark, Kafka, and deploy on AWS, GCP, and Azure.

Data Reliability & Observability – Apply frameworks like dbt, Great Expectations, Prometheus & Grafana.

Mentorship from FLC – Learn directly from leaders shaping global data platforms.

Career Assistance – Resume workshops, capability tests, mock interviews & access to 220+ hiring partners (performance-based, no guarantee).

End-to-End Capstone – Solve a real-world challenge integrating ingestion, warehousing, ML deployment, and observability.

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About IIT Gandhinagar & Program Directors

IIT Gandhinagar
Prof. Name
Prof. Name

About IIT Gandhinagar

The Indian Institute of Technology Gandhinagar (IITGN), established in 2008, is one of India’s youngest IITs and has built a strong reputation for its student-first philosophy, agile curricula, and bold interdisciplinary research culture.

Ranked #25 in NIRF 2025, IITGN sits on a 400-acre eco-friendly campus along the Sabarmati River. It is the first academic campus in India to earn a 5-star GRIHA-LD sustainability rating.

With modern classrooms, cutting-edge labs, and vibrant student culture, IITGN provides a 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 also your mindset as a data professional.

Live on Campus for 6 Months - Experience IIT hostels, labs & collaborative spaces.

Learn by Doing, Together - Daily peer sprints, late-night coding sessions, collaborative builds.

Build in IIT’s Maker Spaces - Access cutting-edge facilities for your projects.

Culture of Demos & Feedback - Weekly showcases, mentor reviews, demo days.

Network for Life - Become part of an IITian peer group that opens doors long after graduation.

Guided by IIT Faculty - Learn directly from IIT Gandhinagar professors.

What Does Our Program Teach?

Dimension

After the Program

Before the Program

Core Philosophy
Designs and implements ETL/ELT pipelines and streaming workflows.
Knows Python/SQL basics but struggles with large-scale workflows.
Core Philosophy
Masters big data tools (Hadoop, Spark, Kafka) & cloud data warehouses (Redshift, BigQuery, Synapse).
Limited exposure to data pipelines, cloud platforms, and observability.
Core Philosophy
Builds analytics dashboards with Tableau & Power BI.
Unsure how to present skills for recruiter-ready roles.
Core Philosophy
Ensures data reliability using dbt, Great Expectations, Prometheus & Grafana.
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Core Philosophy
Graduates with a recruiter-verifiable portfolio including a deployed capstone.
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Curriculum - 9 Core Modules + 1 Capstone + Interview Readiness

Module 1: Foundations of AI, Data & SQL

No.

Topic details

01
AI vs ML vs Data Science concepts
02
SQL for data management (DDL, DML, joins, subqueries)
03
Data wrangling with Pandas & NumPy
04
Prompt engineering for data tasks

Module 2: Applied Mathematics for Data Engineering

No.

Topic details

05
Probability, statistics, and distributions
06
Hypothesis testing & experimental design
07
Correlation, causation & PCA
08
Hands-on math with Python & AI tools

Module 3: ETL Pipelines & Data Architectures

No.

Topic details

09
ETL vs ELT, batch vs stream processing
10
Pipeline design with Airflow & Kafka
11
Data lakes, lakehouses & schema evolution
12
Testing & validation with dbt, Great Expectations

Module 4: Mastering Big Data

No.

Topic details

13
Hadoop ecosystem & HDFS
12
Batch processing with Spark & PySpark
13
NoSQL databases (MongoDB, HBase)
14
Big data on cloud (AWS EMR, GCP Dataproc)

Module 5: Advanced Analytics & Storytelling

No.

Topic details

15
Exploratory Data Analysis (EDA)
16
Feature engineering & selection
17
Dashboards with Power BI & Tableau
18
Data storytelling & time-series forecasting

Module 6: Cloud Data Warehousing & Security

No.

Topic details

19
AWS Redshift, GCP BigQuery, Azure Synapse
20
Schema design (star, snowflake)
21
Query optimization & cost management
22
Security, compliance & IAM

Module 7: Data Science Meets Engineering

No.

Topic details

23
MLOps & ML pipeline deployment
24
Feature stores (Feast, Vertex AI)
25
Experiment tracking with MLflow, DVC, W&B
26
Model monitoring, explainability & fairness

Module 8: Data Reliability & Observability

No.

Topic details

27
Data quality metrics & contracts
28
Monitoring pipelines with Prometheus & Grafana
29
Lineage tracking with DataHub, Amundsen
30
Drift detection & anomaly monitoring

Module 9: Capstone – Scalable Data Solutions

No.

Topic details

31
End-to-end real-world data engineering project
32
Ingestion → transformation → warehousing → ML deployment
33
Observability & monitoring dashboards
34
AI-assisted documentation & presentation

Module 10: Interview Readiness & Certification Prep

No.

Topic details

35
SQL & system design interview prep
36
Mock interviews & coding challenges
37
Resume, portfolio, and LinkedIn optimization
38
Certification prep (GCP Data Engineer, Azure DP-203, Databricks DE Associate)

Skills You’ll Walk Away With…

Build scalable ETL/ELT workflows& streaming pipelines.

Deploy big data systems with Hadoop, Spark, Kafka.

Architect cloud warehouses on Redshift, BigQuery, Synapse.

Ensure data reliability & observability with dbt, Prometheus, Grafana.

Create dashboards & analytics with Tableau & Power BI.

Deliver a recruiter-verified GitHub portfolio + Capstone project.

Tools You’ll Master

Programming
Data Pipelines
Big Data
Cloud
Analytics
MLOps
Observability
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Inside India’s AI Clinic

The AI Clinic is where concepts meet execution. It’s your lab, your sandbox, and your proving ground, designed to simulate how enterprises actually build and scale data-driven systems.

Real Enterprise Challenges - Solve live-style RFPs and problem statements in data engineering, analytics, and cloud pipelines.

Data-First Builds - Move beyond toy datasets by designing ETL/ELT pipelines, real-time streaming workflows, and cloud data warehouses.

Weekly Build Sprints - Ship, test, and refine projects under mentor guidance to mirror enterprise workflows.

Portfolio That Speaks - Every project adds to a recruiter-verifiable portfolio, showcasing your ability to build production-ready data systems.

Expert Feedback - Get reviews from IIT Gandhinagar faculty, Futurense Mentors, and Industry Leaders.

Fail Fast, Learn Faster - Stress-test pipelines in controlled labs, sharpen debugging skills, and learn to engineer for reliability and scale.

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?

Is this for you?
Ideal for you, if you are

Freshers

Bachelor’s degree in Engineering, Computer Science, IT, Mathematics, or related fields.

Educational Qualification

MCA, M.Sc., or M.Tech graduates with tech/analytics exposure are also eligible.

Grades

Minimum 50% in graduation.

Selection Process

Selection through Application → Pre-Screen Test → Interview.

Freshers

Fresh graduates (B.Tech, B.Sc.) aiming for Data/Analytics roles.

Early-career professionals

Early-career professionals (0-3 years exp.) looking for career acceleration.

Developers and analysts

Developers, analysts & support engineers pivoting into Data/Cloud/MLOps roles.

Anyone who wants IIT Identity + Portfolio

Anyone seeking IIT credibility + a recruiter-verifiable portfolio.

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Qualifying Test

What You’ll Be Tested On

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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 about your skills? Brush Up With

Before the core program, all learners go through a structured Bridge Course to level the playing field.

What You’ll Cover:

  • Mathematical Foundations for Data Science - Probability, statistics, and linear algebra simplified for practical data analysis.
  • Python for Data Analysis - Learn to clean, manipulate, and analyze datasets using libraries like NumPy and Pandas.
  • SQL & MySQL Essentials - Master relational database concepts, queries, joins, and transactions to handle structured data.
  • Data Visualization Basics - Build effective charts, plots, and dashboards for storytelling with data.

Prompt Engineering & Generative AI Essentials - Leverage LLMs to automate queries, generate insights, and assist in data workflows.

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

₹5,000 (non-refundable)
₹5,000 (non-refundable)

Tuition Fee

₹4,50,000
₹4,50,000 (via 6, 9, 12 & 24-month EMIs)

Hostel & Lodging

₹1,50,000
₹1,50,000 (via 6, 9, 12 & 24-month EMIs)

Certification Fee

Included in tuition
Included in tuition

Total

₹6,00,000
EMI starts from ₹X,XXX to ₹XX,XXX per month*
  1. 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.
  2. Fees include tuition, hostel, and lodging for the full 6-month residential program at IIT Gandhinagar.
  3. Deserving candidates opting for the upfront payment plan may be eligible for a scholarship of up to ₹15,000.
  4. 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

Data Engineer

₹8-22 LPA

lakhs per annum

Cloud Data Engineer

₹10-25 LPA

lakhs per annum

Analytics Engineer

₹9 LPA

lakhs per annum

MLOps Engineer

₹12-30 LPA

lakhs per annum

Data Platform Engineer

₹12-32 LPA

lakhs per annum

Led by the Futurense Leadership Council (FLC)

Get mentored by industry leaders from global enterprises who are shaping the future of AI & Data Engineering.

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

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Ready to Engineer the World’s Data Systems?

Applications are open now. Don’t miss your chance to earn an IIT Gandhinagar PG Diploma and step into tomorrow’s data-driven careers.

Frequently Asked Questions

We know you might have some questions before getting started in our platform

Program Overview & Eligibility
Admissions & Application Process
Curriculum & Learning Experience
Fees, Financing & Campus Immersion
Career Support & Outcomes

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.

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