Start Date

February 2026 (Tentative)

Format

Full-time On-Campus

Duration

6-Month Residential

Seats

60

Fees

₹6.25 Lakhs + GST

Course Credits

18

Program Highlights

600 Hours. 6 Months. 2 Years Worth of Industry Experience

Master the latest AI/ML, Data Science, or Software Engineering stack

Build 15+ production-ready projects

Solve 100+ competitive coding problems

Deploy live applications using GenAI tools

Graduate with a GitHub portfolio that proves you can ship

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Diploma certificate from Indian Institute of Technology Gandhinagar for PG Diploma Program in AI / Agentic AI Engineering with space for student name, enrollment number, and date, bordered in blue with institute seal.
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Diploma certificate from Indian Institute of Technology Gandhinagar for PG Diploma Program in AI / Agentic AI Engineering with space for student name, enrollment number, and date, bordered in blue with institute seal.

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About IIT Gandhinagar & Program Directors

IIT Gandhinagar
Prof. Rajat Moona
Prof. Manisha Padala
Prof. Yogesh Kumar Meena

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 #18 in NIRF 2025, Engineering Category, 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.

Director's Vision

The Prime Minister has set a clear vision: India must become the global powerhouse of AI talent. This is not an aspiration; it is a national priority. I asked myself: How do we create immediately deployable AI talent? 

In 6 months. Immersive Learning. Residential. With high touch points and handpicked!

This program is our answer. It integrates academic rigor from IIT with practical skills from Fortune-500 industry leaders. Students live on campus, learn in our labs, build with IIT resources, and graduate with executive alumni status. We are ranked 18th in NIRF.

India needs 1 million AI professionals by 2027. We have miles to go before we sleep.

Each cohort selects only 60 students based on their potential. You must earn your place through examination and interview. If you are ready to commit 6 months fully, we will transform your career trajectory.

Prof. Manisha Padala

Assistant Professor, Department of Computer Science & Engineering, IIT Gandhinagar - AIML & Agentic AI Engineering

Prof. Manisha Padala’s research focuses on the intersection of Machine Learning, Fairness, and Mechanism Design. Her work explores fair and private learning models, federated fairness, and fair resource allocation under externalities. She also studies mechanism design and deep learning to build systems resilient to manipulation, ensuring fairness and efficiency in contexts like auctions, crowdfunding, and resource distribution. Her research has been recognized with the Best Paper Award at the First Indian Conference on Deployable AI (DAI’21).

Prof. Yogesh Kumar Meena

Assistant Professor, Department of Computer Science & Engineering, IIT Gandhinagar - GenAI & Data Science Engineering

Prof. Yogesh Kumar Meena’s research bridges Neuroscience and Artificial Intelligence, with a focus on Human-Computer Interaction, Brain-Computer Interfaces, and Neurorehabilitation Systems. His work advances hybrid multimodal interfaces and assistive technologies. With global research experience at Ulster University, Swansea University, and the University of Essex (UK), he brings deep expertise in neuroimaging, signal processing, and AI-driven accessibility technologies. His research aims to make technology more inclusive, improving lives through innovation in AI, neuroengineering, and human-centered computing.

Prof Mayank Singh

Assistant Professor, Computer Science & Engineering, IIT Gandhinagar - AI-Powered Software Engineering with Cloud

Prof. Mayank Singh leads the Lingo Research Group at IIT Gandhinagar, focusing on Indic LLMs, Multimodal AI, and Explainable AI. His team contributed to BLOOM (BigScience 2022), developed Ganga LLMs, India’s first small-scale LLMs for edge deployment, and co-leads the ₹175+ Cr EKA Project, India’s largest LLM initiative. A pioneer in code-mixed NLP and scholarly AI, he has launched national AI programs, co-founded IndoML Symposium and India’s first GenAI Summer School, and mentored 100+ students now at leading global research labs

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The IIT Advantage

Where Academic Excellence Meets Industry Execution
6 Months. Total Immersion.

IIT Credential

Postgraduate Diploma from IIT Gandhinagar with Executive Alumni Status

Residential Experience

Live, learn, and build on campus with 24/7 lab access

Industry Integration

Fortune-500 mentors guide your projects and code reviews

Placement Cell Access

IIT Gandhinagar Placement Cell supports qualified students

Smiling professional woman in blue blazer standing in a modern office with colleagues conversing in the background.
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Daily Schedule

Live on the IIT Gandhinagar campus. Get 24/7 access to labs, faculty, and peers as committed as you.

09:00-12:00

Academic Teaching

Agile-led learning, sprint-style coverage, live coding, whiteboarding

13:00-16:00

Labs & Projects

Build, debug, deploy. Hands-on implementation, debating on solutions, live deployment, building with humans and AI

16:00-18:00

Competitive Coding

LeetCode sessions, DSA practice, peer problem-solving, performance optimisation insights

Evenings

Idea Labs & Hackathons

Build MVPs, pitch ideas, and weekend builds

Weekly Rhythm

Monday-Friday

Full schedule - teaching, labs, coding, projects

Saturday Morning

Weekly assessments + mock interviews

Saturday Evening

Hackathons, social events, recovery

Sunday

Self-directed learning. Or rest. Your choice.

Campus Access

Hostel Accomodation

Shared rooms
Wi-Fi
24/7 access

Meals

Breakfast
lunch
dinner
snacks

Research Labs

GPU compute
cloud credits
24/7 lab access

Library

Research papers
books
quiet study spaces

Sports

Gym
courts
cricket
outdoor activities

Campus Events

Tech fests
guest lectures
cultural nights

Choose Your Track

0
1
2
3
4
01

Track 1: GenAI-Powered AIML/Agentic AI Engineering

What You'll Build:

  • Multi-agent AI systems
  • LLM applications
  • RAG architectures
  • MLOps pipelines 
02

Track 2: GenAI-Powered Data Science Engineering

What You'll Build:

  • Cloud data platforms
  • ETL pipelines
  • GenAI analytics tools
  • Real-time dashboards
03

Track 3: AI-Powered Software Engineering with Cloud

What You'll Build:

  • Full-stack applications
  • Cloud-native services
  • AI-assisted development
  • DevOps automation

Common Foundation (First 6 Weeks): All learners begin their journey with a common foundation. Based on your performance in the diagnostic phase, you’ll specialize in one of the tracks given above

What Makes This Different?

150 Hours - Learn: Master concepts through the flipped classroom model

200 Hours - Apply: Solve RFPs, articulate problems, and design solutions with code reviews

150 Hours - Execute: Build and deploy production-ready applications

100 Hours - Evidence: GitHub portfolio, 10+ products, personal brand, 100+ coding problems solved

Plus: Competitive coding, build-a-thons, mock interviews, idea labs, dine with leaders

Inside India’s AI Clinic

Weekly live sessions where you bring real problems, bugs, architecture decisions, interview questions, and Fortune-500 leaders helping you out.

What: Solve RFP-style projects with FLA and FPA assistance guided by FLC experts and industry mentors

How: RFP arrives Monday. Demo ships Friday. Industry mentor scores Saturday. Rinse and Repeat.

Format: Bring your code, your confusion, your bugs

Result: Learn to think like engineers who ship at scale

Group of young professionals collaborating around a digital touchscreen table with AI data, in a modern office with a whiteboard labeled 'AI CLINIC'.

Build Smarter & Faster with 30+ AI tools

AI & M
Data
Development
Cloud & DevOps
GenAI Tools
LLMs
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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

Who Gets In? The Chosen 60

You Are
Eligibility
What You'll Graduate With
  • Final year student, fresh graduate, or early professional (0-2 years)
  • Got ₹3-5L placement offers, want ₹8L+ technical roles
  • Ready to outwork everyone for 6 months
  • Building or scaling a business, and need technical fluency
  • Want IIT network access and alumni status

Education

60%+ in B.Tech, 70%+ in Class XII

Backlogs

None

Experience

0-2 years (freshers welcome)

Smiling professional woman in blue blazer standing in a modern office with colleagues conversing in the background.
  • IIT Postgraduate Diploma with Executive Alumni Status
  • 15-20 deployed projects with live links
  • 200+ GitHub commits and portfolio website
  • Industry certifications
  • Network of IIT professionals and Fortune-500 mentors
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Admission Process

Smiling young man in a red sweater holding a laptop with a black shoulder bag.

Your journey to becoming an IIT-certified engineer begins with two evaluation rounds designed to assess both skill and potential.

Round 1

All India National Proficiency Test (AINPT - IITGN)

A 90-minute online proctored test that evaluates your:

  • Quantitative Aptitude
  • Logical Reasoning
  • Technical Concepts (DSA basics, programming fundamentals)
  • Coding Challenges (Python/Java, based on your chosen track)

Results are declared within 48 hours of the test.

Round 2

Personal Interview

Shortlisted candidates will appear for a panel interview with IIT faculty and industry mentors, assessing their technical capability, problem-solving approach, and commitment to excel in the program.

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.

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

Live Industry  Sessions

2-3 monthly Chai Talks, AI workshops, and career discussions with industry leaders.

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

Exclusive 1:1
 Mentorship

Offered for top performers meeting benchmarks, includes personal mentorship and mock interview.

Two men sitting at a table in an office, reviewing documents and discussing work with a laptop and coffee cups nearby.

Futurense 
Breakfast Club

Weekly alumni meetups with case discussions and hiring lead exchanges.

Three young professionals enjoying coffee and snacks while collaborating around a laptop in a modern office.

Real Projects
at AI Clinic

Work on live RFPs and challenges to build a strong industry-relevant portfolio.

Two men reviewing a resume document together at a table in a modern office setting.

Resume That Gets Shortlisted

Workshops & expert reviews focused on creating resumes tailored for leadership roles.

Person holding a printed resume document while sitting at a desk with an open laptop and a cup of coffee.

Mock Interviews & Feedback

Simulated interviews with actionable performance feedback.

Two men sitting across a wooden table in an office, one taking notes and the other using a laptop.

Roles That’ll Be Looking For You

AI / Agentic AI Engineering
Data Science Engineering
Software Engineering with Cloud

AI/ML Engineer

₹10 - 30 LPA

lakhs per annum

Generative AI Developer

₹8 - 25 LPA

lakhs per annum

Agentic AI Enginee

₹8 - 25 LPA

lakhs per annum

Data Engineer

₹7 - 18 LPA

lakhs per annum

Cloud Data Engineer

₹10 - 25 LPA

lakhs per annum

ML Platform Engineer

₹12 - 30 LPA

lakhs per annum

Full-Stack Developer (AI-Enhanced)

₹7.5 - 15 LPA

lakhs per annum

Backend Engineer (with AI Integration)

₹8 - 20 LPA

lakhs per annum

Frontend Engineer (AI UX)

₹6 - 13 LPA

lakhs per annum
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Placement Support

Students with a CGPA of 7.0 or higher and 85% or higher attendance qualify for specialized assistance from the IIT Gandhinagar Placement Cell.

IIT Placement Cell* Access

  • Recruitment support with GCCs and product companies
  • The company connects based on your track and performance
  • Interview scheduling and logistics
  • Tailored remediations and improvement plans

*Through IIT Gandhinagar's Competency Development Foundation

Note: Placement support is applicable only for candidates with 7.0+ CGPA, 85%+ attendance, and 12+ completed projects.

Fee Structure

Upfront Payment

EMI Plan (via NBFC Partners)

Academic Fee

₹5,00,000 (including GST)
IIT Gandhinagar

Residential & Operations

₹1,25,000 + 5% GST
Futurense

Application Fee

₹3,000
Futurense
  1. Zero-cost EMI not available

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

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

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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

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

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.

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