Program Highlights

World’s First Academic Program for Forward Deployed Engineers

Post Graduate Certificate from CEC, IIT Roorkee

Dual-Track Foundation Building: AI Engineering + Client Consulting

Progressive Learning Pedagogy: No-Code → Low-Code → Full-Code

15+ GenAI & LLM Tools · 10+ Prompt Libraries

About IIT Roorke

Founded in 1847, IIT Roorkee is one of India’s oldest and most prestigious institutions, with a legacy of academic leadership and technological innovation. As a pioneer in interdisciplinary education, IIT Roorkee has been at the forefront of engineering, data science, AI, and management education.

Its executive education programs are designed to equip working professionals with industry-aligned, future-forward skill sets, combining academic rigor with hands-on learning and strategicthinking.

Our Program Director

Prof. Gaurav Dixit

Assistant Professor, Department of Management Studies (DoMS), IIT Roorkee

Prof. Gaurav Dixit is a Joint Faculty at the Mehta Family School of Data Science & AI and Core Faculty of Information Systems at DoMS, IIT Roorkee. His expertise spans Information Systems, Computational Social Science, and AI/ML for decision-making, with publications in top international journals and conferences. He has led multiple government and industry-funded projects and teaches Digital Transformation, AI/Data Science Programming, Artificial Intelligence, and Deep Learning. 

Earlier, he worked at Hewlett-Packard (R&D) and Sharda University, bringing valuable industry experience to his teaching and research. He holds a Ph.D. in Information Systems from IIM Indore and a B.Tech. in CSE from IIT (BHU) Varanasi. 

The IIT Advantage

Experience Campus Immersion At IIT Roorkee Research Park

Certification From IIT Roorkee

Receive a Certificate of completion from IIT Roorkee,
recognizing your achievement.

in Just 3 Months

How You Go From Learning to Orchestrating

Module 1: AI for Enterprises (Phase 1)

AI vs GenAI vs Agentic AI

Use cases; Adoption realities

Module 2: Data Science for Managers

Pipelines; Data quality; Metrics; Visualization

Module 3: DL/NLP Foundations

Embeddings; Sequence models; Transformers

Module 4: GenAI Foundations

LLM vs ML; Prompting basics; Cross-functional workflows

Module 5: Prompt Engineering (Phase 2)

Role-task-context framework; Chain-of-thought

Module 6: RAG Systems (3 parts)

Embeddings; Chunking; Grounding; Hallucination control; Retrieval patterns

Module 7: AI Limitations (Phase 3)

Bias; Adversarial prompts; Attack/defense patterns

Module 8: LLMOps Primer

Cloud basics; Latency/cost tradeoffs

Module 9: Agentic AI

Autonomy vs orchestration; Multi-agent patterns

Module 10: Systems Thinking for AI (Phase 4)

Stakeholder mapping; Org-level system design

Module 11: Statistical Thinking

Interpreting ML outputs; Model evaluation

Module 12: Ethical AI & Governance

Risk frameworks; Safety policies

Module 13: AI Strategy for Functions

Alignment with KPIs; Cross-functional roadmaps

Module 14: Case Studies

Cross-functional mini-cases from GCCs

Participants will work on 10+ diverse hands-on activities with AI Tools

AI Clinic

Through the Futurense AI Clinic, you’ll gain hands-on exposure to real enterprise-grade AI projects, from ideation to deployment.

Live Enterprise Projects

Work on real business challenges sourced from Futurense's industry network

AI Workflow Design

Learn to design, automate, and optimize AI-first business systems

Tool Mastery

Get hands-on with 30+ leading AI tools, from ChatGPT to LangChain

Guided Mentorship

Receive 1-on-1 feedback from industry mentors on your project's AI strategy & implementation

While mastering 20+ Tools

LLM Platforms
RAG & Retrieval
Agent Frameworks
Developmment & Deployment
Evaluation & Ops
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By The End, You’ll Be Able To Do All This

Deploy AI in Real Environments

Translate business problems into AI solutions and take them from PoV → PoC → MVP → deployment in enterprise settings.

Build GenAI & RAG Systems

Design prompt pipelines, retrieval-augmented generation (RAG) systems, and grounded LLM applications that work reliably in production.

Engineer Agentic AI Workflows

Create and evaluate autonomous and multi-agent systems using modern agent frameworks and orchestration patterns.

Scope Client Problems Like an FDE

Run discovery sessions, define requirements, and convert ambiguous business needs into deployable AI architectures.

Apply AI Guardrails & Risk Controls

Test AI systems for hallucinations, bias, and failure modes using adversarial testing, evaluation frameworks, and governance checks.

Deliver a Portfolio-Ready Capstone

Build and deploy an end-to-end AI solution with documentation, demos, and GitHub artifacts aligned to real FDE roles.

This Program is for

Educational Qualification

- Bachelor’s degree (minimum 3 years) in Engineering, Computer Science, IT, Mathematics, or related disciplines.
- MCA / M.Sc / M.Tech / MBA candidates with technical or analytical exposure are also eligible.
- Minimum 50% marks or equivalent CGPA required.

Work Experience

Open to fresh graduates and early to mid-career professionals (0–3+ years) from software, data, analytics, AI, or related technical roles.

Technical Readiness

Basic Python fundamentals and strong analytical thinking required. Exposure to AI, cloud, data, or software systems is an added advantage, not mandatory.

Learning Support

A pre-program Bridge Course is provided to align all learners before the program begins.

Educational Qualification

Short aptitude-based Qualifying Test (non-technical)

Qualifying Test

What You’ll Be Tested On

Logical Reasoning

Quantitative Aptitude

Digital & AI Awareness

Applied Scenario (Situational Judgment)

Duration: 45 minutes

Important Guidelines

Online, MCQ-based

Each section has a time limit and can be attempted only once

Do not refresh or close the browser during the qualifying test

Use latest versions of Chrome/Firefox on desktop/laptop

Keep pen and paper handy for rough work

You’ll receive qualifying test access only after completing registration

Software Developers & Engineers

Looking to move from building features to deploying AI systems in real client environments.

Data & AI Practitioners

Data analysts, ML engineers, and AI developers aiming to work closer to business and deployment.

Early-Career Engineers

Freshers and junior engineers seeking a first-mover advantage in a globally emerging AI role.

Professionals Pivoting to AI Deployment

Consultants, analysts, and tech professionals who want to bridge business problems with AI execution.

Roles That’ll Be Looking For You

Forward Deployed Engineer

₹18-32 LPA

lakhs per annum

Senior Forward Deployed Engineer

₹32-58 LPA

lakhs per annum

Forward Deployed AI Architect

₹48-78 LPA

lakhs per annum

Principal Forward Deployed Engineer

₹65-1.1CrPA

crores per annum

Forward Deployed Engineering Lead

₹85-1.4CrPA

crores per annum

Staff Forward Deployed Engineer

₹95-1.6CrPA

crores per annum

Career Assistance

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

Profile, Narrative & Resume Building

Craft a recruiter-ready identity with optimized resumes, LinkedIn profiles, and a strong career narrative.

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

Career-Specific Training

Develop job-ready skills with role-focused training, capability tests, AI tools workshops, and continuous upskilling to match real hiring expectations.

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

Futurense Job Board - Exclusive Opportunities

Access curated, pre-vetted roles before they hit public portals, with priority visibility for Futurense learners.

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

Interview Playbooks & Cheat Sheets

Get insider interview guidance with structured playbooks: FAQs, sample answers, frameworks, recruiter insights, and round-wise preparation.

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

Mock Interviews with Experts

Experience real interview simulations with personalized feedback from mentors, industry leaders, and FLC members.

Mentor Referrals & Networking

Unlock referral advantages, insider recommendations, alumni-driven opportunities, and FLC mentorship that accelerates your career entry.

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

Salary Negotiation Support

Get guidance on positioning, benchmarking, negotiation strategy, and communication to secure the compensation you deserve.

Our students are acing it!

They are working at companies which are a dream for most

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Fee Structure

Total Admission Fee

₹45,000

Apply Now
ComponentAmount (₹)
Program Fee₹45,000
GST (18%)As applicable
Registration Fee (Non-Refundable)*₹5,000 (Adjusted in Program Fee)
Total Payable₹45,000 + 18% GST

The registration fee of ₹5,000 is a one-time, non-refundable application processing fee, adjusted against the total program fee.

Payment of the registration fee is required at the time of application submission.

EMI options are available through partner NBFCs.

If a participant withdraws before the program start date, the program fee will be refunded, excluding:
Registration fee, GST, Any applicable subvention or processing charges.
No refunds are applicable once the program has commenced.

Optional 2-Day Campus Immersion at IIT Roorkee may be offered at an additional cost (subject to actuals).

Travel, boarding, and lodging expenses for campus immersion (if opted) will be borne by the participant.

Application Deadline

15th January, 2026

Admissions close once the required number of students is enrolled for the upcoming cohort. Apply early to secure your seat.

How it Works

Application Process

1

Submit Your Application

Apply online with your basic details and pay the ₹5,000 non-refundable registration fee to complete your application.

2

Pre-Screening Assessment

Take a pre-screening test to assess your technical readiness and suitability for the Forward Deployed Engineer role.

3

Offer & Begin Your Learning Journey

Receive your offer letter, complete the fee payment, and get immediate access to the Futurense Bridge Course before classes begin.

Traditional AI Programs vs. IIT Roorkee’s Forward Deployed AI Engineering

Dimension

This Programme

Other Programme

Core Philosophy
Forward Deployed AI Engineering, bridging AI systems, business problems, and real-world deployment
Model building or theoretical AI concepts with limited deployment exposure
Role Orientation
Client-facing, deployment-first role at the intersection of Software Engineering, Product Thinking, and Consulting
Primarily, individual contributor roles focused on development or analysis
Curriculum Design
Dual-track architecture (Tech + Consulting) with GenAI, RAG, Agentic AI, LLMOps, and client problem scoping
Single-track curriculum focused on generic ML / AI topics
Learning Style
RFP-based scenarios, agile sprint simulations, and real FDE workflows
Classroom lectures, assignments, and exams
Production Readiness
Emphasis on PoV → PoC → MVP, deployment patterns, guardrails, and real enterprise constraints
Limited focus on production deployment and enterprise realities
AI Stack Exposure
LLM APIs, RAG systems, agent frameworks, evaluation tools, cloud & deployment basics
Tool exposure varies; often limited to libraries or offline notebooks
Portfolio Output
End-to-end deployed capstone, client-ready documentation, demos, and GitHub artifacts
Academic projects or model-centric assignments
Industry Alignment
Designed for enterprise AI adoption and client-centric deployment roles
Broad AI knowledge with indirect industry mapping
Career Outcomes
Forward Deployed Engineer, Senior FDE, Forward Deployed AI Architect (as per role progression)
ML Engineer, Data Scientist, AI Engineer (conventional roles)

Feeling Underconfident About Your Tech Skills?

Kick things off with a 2-Week Bridge Course that gets you course-ready

Young man in a blue shirt resting his chin on his hand, looking thoughtfully upward.

What you'll learn:

How LLMs work (no code)

Prompt basics

AI capabilities vs limitations

Enterprise AI landscape

Industry use-case overview

Reading AI vendor claims

ChatGPT/Claude accounts

Notion workspace

Your toolkit, ready to go

Worth ₹29,000

Included free with your enrollment.

Led by the Futurense Leadership Council (FLC)

 A collective of CXOs, AI leaders, and digital transformation heads from
Fortune 500 companies shaping the AI-native workforce.

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 Actually Works in Companies?

Top AI companies are hiring Forward Deployed Engineers, but India has very few trained professionals. Early movers will define this category! Be one of them.

Frequently Asked Questions

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

Program Overview
Eligibility, Application & Selection Process
Curriculum & Learning Journey
Campus Immersion
Fees & Financing
Career Support

What is the name of the program, and who is providing the certification?

The program offered is a Post graduate Certificate in Forward Deployed AI Engineering.
The certificate is issued by the Continuing Education Centre (CEC), Indian Institute of Technology IIT) Roorkee.

What is a Forward Deployed Engineer (FDE)?

An FDE is a client-facing "horizontalist" who works directly with customers on the front lines to solve high-stakes AI projects and implement solutions that provide real ROI.

They sit at the intersection of Software Engineering, Platform Engineering, and Solutions Architecture to bridge the gap between "software sold" and "software working".

How does the role of an FDE differ from a traditional Software Engineer?

While a traditional approach follows a linear "Requirement → Build → Test → Deploy" cycle that can take months, an FDE uses a "Discovery → Prototype → Validate → Ship → Iterate" cycle to get to production in weeks.

Page 04 Instead of handoffs between different teams, the FDE owns the process end-to-end, measuring success by actual business outcomes rather than just features shipped.

What is the duration and schedule of the program?

Duration: 3 months (approximately 85 hours of learning).

Format: Hybrid, featuring Weekend Live Online Sessions (Saturdays and Sundays, 2–3 hours each).

Commitment: Learners should expect to commit about 10 hours per week (including live sessions, self-study, and practice).

When is the first cohort expected to start?

The tentative start date is March 2026.

What is the medium of instruction?

The medium of instruction for all lectures, labs, and materials is English.

Whom can I contact for queries?

The dedicated e-mail ID will be provided where you can reach out for any student queries.

How can I apply to the PG Certification in “Forward Deployed AI Engineering” ?

Click on 'Apply Now' button and fill the form.

When will the application process to the program start?

The application process for CEC, IIT Roorkee’s PG Certificate Program has already begun

Who is eligible for this program?

Education: A Bachelor’s degree (minimum 3 years) in Computer Science, IT, Engineering, Mathematics, or related technical disciplines. MCA, M.Sc, M.Tech, and MBA (with tech/analytics exposure) or BCA candidates are also eligible.: Familiarity with Minimum Marks
50% marks or equivalent CGPA in graduation.
Experience: While open to fresh graduates, 1–2 years of experience in Data Science, Engineering, or Software Development is preferred.: At least Technical Prerequisite
Python fundamentals and strong analytical thinking are required.

What is the admission process?

1. Apply Online: Submit your basic details.
2. Pre-screening Assessment: Successful clearance of a mandatory exam is required.
3. Receive Offer Letter: Qualified candidates will receive an official offer.
4. Enrollment: Pay the fee to begin the Futurense Bridge Course.

Is this program for freshers or experienced professionals? 

The program is designed to be inclusive. While it is open to fresh graduates with strong analytical thinking, 1–2 years of experience in Data Science, Engineering, or Software Development is
preferred.
It serves as a "bridge" for tech professionals to transition into one of the most in-demand AI roles of 2026.

Is there a qualifier test, and what does it cover?

Yes, a pre-screening/qualifier test is mandatory to assess technical readiness. Topics covered are: 
1. SQL Basics
2. Verbal Reasoning
3. Logical Reasoning & Situation Handling
4. Python Programming Basics
5. Tech Awareness

6. FAQ answer for pending Question

What documents are typically required for the application?

The following documents are necessary to complete your application for the PGC Program:
1. Identity Proof: Aadhaar Card and PAN Card.
2. Personal Record: Proof of Date of Birth (DOB)
3. Academic Records:
 10th Standard Marksheet.
 12th Standard Marksheet.
 Graduation Marksheets/Degree Certificate (or the latest semester transcripts for final-year students).
4. Professional Summary: A comprehensive resume (CV)
5. Employment Verification (if any): Employment proofs (required only if applicable to your profile)

What is the curriculum structure?

The program is divided into four distinct phases:
Phase 1: Enterprise AI Foundations: AI vs. GenAI, data pipelines, and transformers.
Phase 2: GenAI & RAG Foundations: Prompt engineering and designing Retrieval-Augmented Generation (RAG) architectures.
Phase 3: AI Limitations & Agentic AI: Red-teaming, LLMOps, and multi-agent orchestration.
Phase 4: Applied AI Strategy & Case Labs: Systems thinking, ethical governance, and building a professional portfolio.

What tools and platforms will I master?

Learners will work with a modern AI stack, including:
1. LLM Platforms: ChatGPT, Claude, Gemini, Perplexity, Mistral
2. RAG &Amp; Vector DBs: LangChain, LlamaIndex, Pinecone, Weaviate, ChromaDB
3. Agent Frameworks: CrewAI, AutoGen, LangGraph, Flowise, n8n
4. Dev & Ops: Python, Git, Docker basics, API integration, Streamlit
5. Business & Analytics: Notion AI, Miro, Lucidchart, Mixpanel AI, Amplitude
6. Collaboration: Slack, Linear, Jira, Confluence, Google Workspace + AI

What is the "Futurense AI Clinic"?

It is a hands-on initiative where learners work on Live Enterprise Projects sourced from real industry networks.
Similar to a medical clinic, it allows you to develop real-world skills by solving business challenges and mastering over 30+ leading AI tools.

What are the "Portfolio Artefacts"?

Instead of just theoretical knowledge, you will build 15+ tangible artefacts, such as AI Opportunity Canvases, RAG Architecture Blueprints, and Red-team Test Reports, to showcase to employers.

What will I build during the program?

You will build 15+ portfolio-ready artefacts, including strategic AI documents, evaluation reports, technical designs, risk and governance frameworks, enterprise case solutions, and an end-to-end AI capstone implementation plan for a real business problem—ready to showcase in interviews and performance reviews.

What is the Futurense Bridge Course, and is it mandatory?

Yes, the Bridge Course is a mandatory, fully sponsored foundation module provided by Futurense. It ensures all learners, regardless of their background, are up to speed with Python and AI fundamentals before the main IIT Roorkee curriculum begins

Will a bridge course be provided for candidates who need to refresh basic fundamentals?

Yes, a bridge course is provided to solidify foundational knowledge. Modules include:
1. Programming Foundations
2. Databases with MySQL
3. GenAI, Agentic AI & Prompt Engineering
4. Cloud Foundations

Is there a campus visit included?

Yes, there is an optional 2-day campus immersion at IIT Roorkee.
It includes live masterclasses from faculty, networking with peers, and access to campus labs.

Is there an extra cost for the immersion?

Yes, a tentative additional fee of approximately ₹10,000 (subject to actuals) is charged separately for those who choose to attend.

What is the total program fee?

Program Fee: ₹45,000.
GST: 18% (Applicable on the program fee).
Registration Fee: ₹5,000 (Adjusted against the final fee; non-refundable)

Are there financing options?

Yes, EMI options are available through partner NBFCs.

What is the refund policy?

If a student drops out before the program starts, the course fee is refundable (excluding the registration fee, GST, and subvention charges).
No portion of the fee is refundable once the program has commenced.

Can I self-fund this program?

Yes, you can self-fund the program either partially or in full. The payment schedule providesflexibility for candidates who choose to self-fund.

What is the interest rate on the loans?

The interest rate depends on the financial institution providing the loan. The rates are described as reasonable and competitive considering the current market.

What are the documents I should keep handy to avail financing?

1. PAN
2. Aadhar
3. Last 3 months bank statements

What career assistance is provided? 

1. Participants receive comprehensive support, including:
2. Resume and LinkedIn profile optimization.
3. Access to the Futurense Job Board for pre-vetted roles.
4. Mock interviews and "Interview Playbooks" with structured FAQs.
5. Access to the Futurense Leadership Council (FLC) for networking and mentorship.

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