Program Highlights

Build production-ready agentic AI applications, not demos

Graduate with 10+ live applications and a flagship capstone

Learn end-to-end agentic AI, RAG, deployment, and AIOps

Work with 30+ industry-grade tools used by AI teams

Earn an IIT Jammu (I3C) PG Certificate with optional campus immersion

About IIT Jammu

The Indian Institute of Technology Jammu (IIT Jammu), established in 2016, is one of Indiaโ€™s fastest-growing IITs, committed to innovation, research excellence, and industry collaboration. Strengthening this mission is the Institute Incubation & Innovation Council (I3C), IIT Jammuโ€™s Section-8 not-for-profit organization that enables agile, industry-aligned certification and upskilling programs with real-world relevance.

Through I3C, IIT Jammu delivers future-ready learning experiences that promote innovation, skill development, and professional excellence. The institute warmly welcomes learners to a rigorous and rewarding academic journey designed to create meaningful impact across industries.

Program Director

Prof. Suman Banerjee

Assistant Professor

Prof. Suman Banerjee is a faculty member and researcher in Computer Science with a strong academic grounding in algorithms, graph-based systems, and data-centric computing. His work focuses on understanding and designing efficient computational frameworks for large-scale, evolving networks, with particular emphasis on graph structures, complexity, and data management challenges in modern systems.

With extensive experience across premier technical institutions in India, Prof. Banerjee brings a research-led, systems-first perspective to teaching. His academic approach bridges theoretical foundations with practical problem-solving, enabling learners to develop deep algorithmic thinking and a rigorous understanding of data and network-driven systems. As Program Director, he plays a key role in shaping a curriculum that is conceptually strong, analytically rigorous, and aligned with real-world computational challenges.

The IIT Advantage

Experience Campus Immersions at IIT Jammu

Certification from IIT Jammu

Earn a prestigious Certification from IIT Jammu (I3C), representing academic excellence and deep-tech specialization.

in Just 7 Months

Curriculum Snapshot

Module 1: Agent Foundations (No-Code First)

Agent architectures (ReAct, Planโ€“Execute), tool calling, memory systems & prompt engineering

Workflow design using n8n, prompt structuring, API & tool integrations

Build production-ready agents: Research Assistant, Email Triage Agent, Meeting Scheduler, Customer FAQ Bot

Module 2: Agentic RAG & Intelligent Retrieval

Self-RAG, corrective RAG, query routing & hybrid retrieval strategies

Chunking optimization, reranking, and multi-source document pipelines

Build real-world systems: HR Policy Assistant (100+ docs), Legal Document Analyzer, Internal Knowledge Base

Module 3: Multi-Agent Orchestration

Role-based agent teams, LangGraph state machines & supervision architectures

Task delegation, shared memory & agent communication protocols

Build multi-agent systems: Content Generation Crew (4 agents), Lead Qualification System, Research Team, Document Processing Pipeline

Module 4: Advanced Agent Application Patterns

Guardrails, validation layers, error handling & human-in-the-loop design

Confidence thresholds, escalation logic & fallback mechanisms

Build enterprise systems: Support Agent with Escalation, Approval Workflows, Quality Control Pipelines, Secure Agent Architectures

Module 5: AIOps Fundamentals

Observability with metrics, logs & traces using OpenTelemetry

AI-powered log analysis, anomaly detection & incident automation

Build operational systems: Monitoring Dashboards, Log Analysis Agent, Incident Response System, System Health Reporter

Module 6: Production Deployment for AI Systems

Containerization, cloud deployment, rate limiting & cost optimization

CI/CD pipelines for AI applications with monitoring & tracing

Build production assets: Agent APIs, Monitoring Dashboards, CI/CD Pipelines, Cost Tracking Systems

Capstone Project

End-to-end AI system architecture & technical documentation

Full system integration, testing & production deployment

Deliver a flagship project combining Multi-Agent Systems + RAG + AIOps, deployed with live infrastructure

Your Portfolio at the End of the Program

10+ Applications With live URLs

5 Case Studies Production analysis

1 Flagship Capstone Portfolio centerpiece

Futurense AI Clinic

Through the Futurense AI Clinic, you donโ€™t just study Agentic AI and AIOps concepts; you build, deploy, monitor, and operate agentic AI systems the way production teams do.

Build Production-Grade Agentic Systems

Work on real-world problem statements involving agent orchestration, intelligent automation, observability, incident response, and system reliability, not demos or simulations.

Live, Deployed AIOps Applications

Design and deploy 10+ agentic applications, including monitoring dashboards, log analysis agents, incident automation systems, and production APIs with live URLs.

Enterprise AIOps & Observability Stack

Gain hands-on experience with industry-used tools such as Prometheus, Grafana, Loki, OpenTelemetry, LangSmith, CI/CD pipelines, and cloud deployment platforms.

End-to-End System Ownership

Learn to take agentic systems from workflow design โ†’ orchestration โ†’ deployment โ†’ monitoring โ†’ auto-remediation โ†’ cost and performance optimization in production environments.

While mastering 20+ Tools

No-Code Platforms
Agent Frameworks
RAG & Vector DBs
LLM Providers
AIOps Stack
Deployment
Next
Next

By The End, Youโ€™ll Be Able To Do All This

Build Professional Agentic AI Applications

Design AI agents that plan, reason, use tools, retain memory, and execute multi-step workflows across real business use cases.

Create Intelligent Agentic RAG Pipelines

Build reliable RAG systems using hybrid retrieval, reranking, self-correction, and multi-source routing over enterprise data.

Orchestrate Multi-Agent Systems

Design role-based agent teams with task delegation, shared memory, conditional workflows, and supervision architectures.

Deploy AI Systems with Production-Grade APIs

Package and deploy agentic applications using containerization, cloud platforms, and scalable API-based architectures.

Apply AIOps for Monitoring & Reliability

Set up observability with metrics, logs, and traces to monitor performance, detect anomalies, and maintain system reliability.

Automate Incident Detection & Response

Design alert-driven workflows for incident identification, escalation, and auto-remediation using AIOps techniques.

Implement CI/CD for Agentic AI Systems

Build CI/CD pipelines for AI applications with versioning, rollback strategies, and continuous reliability monitoring.

Optimize Cost, Performance & System Health

Track latency, system load, and operational costs while improving efficiency and stability in production environments.

Deliver a Production-Ready Capstone System

Build and deploy a flagship agentic AI system integrating orchestration, RAG, deployment, and AIOps, your portfolio centerpiece.

This Program is for

Educational Qualification

B.Tech / B.E. / BCA / M.Sc. / MCA or equivalent degree with a minimum of 50% aggregate, as specified in the program prerequisites.

Academic Background

Open to candidates from engineering, computer science, or related technical disciplines with foundational exposure to computing.

Learner Profile

Applicants must be prepared for hands-on, project-intensive learning, including system building and deployment-focused assignments.

Programming Readiness

Python proficiency is required. Familiarity with AI tools such as ChatGPT or Claude is expected for effective learning.

Selection Process

Short Qualifying Test (non-technical)

Qualifying Test

What Youโ€™ll Be Tested On

Logical Reasoning

Data Literacy & Interpretation

AI, LLM & RAG Interpretation

Python Programming Basics

Duration: 90 minutes

Important Guidelines

This is a Multiple Choice Question (MCQ) based examination

The exam consists of 4 sections with a total of 35 questions.

You can answer any section in any order. There is no sectional time limit.

Sectional pass cutoff: You must score at least 40% collectively in all sections.

Each question has only ONE correct answer.

There is no negative marking for incorrect answers.

Final-Year Students

B.Tech / B.E. students in their final year looking to enter AI roles with real, production-ready skills.

Early-Career Professionals (0-3 Years)

Professionals aiming to move beyond basic AI usage into LLM, SLM, and RAG system development.

Mid-Career Professionals (3+ Years)

Engineers and technologists seeking to specialize in domain-specific AI systems, deployment, and context engineering.

AI & Software Practitioners

Developers, ML engineers, and data professionals who want to build, fine-tune, and deploy real LLM/SLM systems instead of prototypes.

Roles Thatสผll Be Looking for You

Agentic AI Application
Agentic RAG & Retrieval Specialists
AIOps & Reliability Engineering
Production AI System Builders
AI-Native Product & Systems Roles
Role Now

Software Engineer

Salary

โ‚น5-10 LPA

Role Upgraded

AI Application Developer

Earning Potential

โ‚น12-45+ LPA

Role Now

Backend Developer

Salary

โ‚น6-12 LPA

Role Upgraded

Agentic AI Developer

Earning Potential

โ‚น15-50+ LPA

Role Now

Automation Engineer

Salary

โ‚น5-9 LPA

Role Upgraded

AI Automation Engineer

Earning Potential

โ‚น10-35+ LPA

Role Now

Full-Stack Developer

Salary

โ‚น6-12 LPA

Role Upgraded

AI Solutions Engineer

Earning Potential

โ‚น18-55+ LPA

Role Now

API / Search Engineer

Salary

โ‚น6-10 LPA

Role Upgraded

RAG Implementation Engineer

Earning Potential

โ‚น12-30+ LPA

Role Now

Knowledge Engineer

Salary

โ‚น5-9 LPA

Role Upgraded

Enterprise RAG Engineer

Earning Potential

โ‚น18-45+ LPA

Role Now

Data Engineer

Salary

โ‚น8-15 LPA

Role Upgraded

Agentic RAG Systems Engineer

Earning Potential

โ‚น20-50+ LPA

Role Now

Platform Engineer

Salary

โ‚น8-15 LPA

Role Upgraded

GenAI Solutions Engineer

Earning Potential

โ‚น18-55+ LPA

Role Now

DevOps Engineer

Salary

โ‚น6-12 LPA

Role Upgraded

AIOps Engineer

Earning Potential

โ‚น18-60+ LPA

Role Now

MLOps Engineer

Salary

โ‚น10-18 LPA

Role Upgraded

AI Systems Engineer

Earning Potential

โ‚น18-60+ LPA

Role Now

SRE

Salary

โ‚น12-20 LPA

Role Upgraded

AI Systems Reliability Engineer

Earning Potential

โ‚น25-60+ LPA

Role Now

Cloud Engineer

Salary

โ‚น7-14 LPA

Role Upgraded

AI Infrastructure Engineer

Earning Potential

โ‚น20-45+ LPA

Role Now

QA / Automation Tester

Salary

โ‚น4-8 LPA

Role Upgraded

AI Workflow Engineer

Earning Potential

โ‚น18-40+ LPA

Role Now

Application Support Engineer

Salary

โ‚น4-7 LPA

Role Upgraded

Production AI Engineer

Earning Potential

โ‚น15-35+ LPA

Role Now

Technical Operations Engineer

Salary

โ‚น5-9 LPA

Role Upgraded

AI Operations Engineer

Earning Potential

โ‚น15-40+ LPA

Role Now

Monitoring / NOC Engineer

Salary

โ‚น4-7 LPA

Role Upgraded

AIOps Monitoring Specialist

Earning Potential

โ‚น12-30+ LPA

Role Now

Business Analyst

Salary

โ‚น5-10 LPA

Role Upgraded

AI Product Analyst

Earning Potential

โ‚น15-30+ LPA

Role Now

Product Manager

Salary

โ‚น12-20 LPA

Role Upgraded

AI Systems Product Lead

Earning Potential

โ‚น25-50+ LPA

Role Now

Operations Manager

Salary

โ‚น8-15 LPA

Role Upgraded

AI Automation & Systems Lead

Earning Potential

โ‚น18-45+ LPA

Role Now

Domain SME (Finance / Ops / IT)

Salary

โ‚น8-15 LPA

Role Upgraded

AI Systems Specialist

Earning Potential

โ‚น20-55+ LPA

Next
Next

Career Assistance By Futurense

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

ย 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.

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

Interview Playbooks & Cheat Sheets

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

Mock Interviews with Experts

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

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

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

Aditya Birla Group logo featuring a geometric design with red and orange shapes above the company name in red text.

Fee Structure

Total Program Fee

โ‚น84,000

+ 18% GST
Apply Now

The program fee covers live online instruction, hands-on projects, evaluations, and certification.

Application fee of โ‚น5,000 is payable to Futurense Technologies at the time of application and is non-refundable.

Campus immersion fee (if opted) is payable directly to *Indian Institute of Technology Jammu (I3C) and is subject to actuals.

Travel, boarding, and lodging expenses during campus immersion are to be borne by the participant.

The program certificate is awarded upon successful completion, subject to minimum attendance and project evaluation criteria.

Application Deadline

20th February, 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

Submit your application and complete the registration process.

2

Take the Pre-Screening Test

Attempt a short test to assess your foundational understanding of AgenticAI and AIOps.

3

Confirm Your Seat

Block your seat by completing the enrollment process and payment.

Traditional AI / ML Program vs. Agentic AI Applications with AIOps Program

Dimension

This Programme

Other Programme

Focus
Agentic AI applications, intelligent automation, and AIOps-driven reliability
Model-centric AI/ML concepts and algorithms
Outcome
Build, deploy, monitor, and operate agentic AI systems in production
Understand AI/ML theory and isolated model development
Curriculum
End-to-end stack: agents, agentic RAG, AIOps, deployment, observability
Disconnected ML, DL, or NLP modules
Outcome
Build, deploy, monitor, and operate agentic AI systems in production
Understand AI/ML theory and isolated model development
Agentic Systems
Deep focus on agent orchestration, workflows, memory, and tool usage
Limited or no exposure to agent-based systems
AIOps & Reliability
Observability, anomaly detection, incident automation, and auto-remediation
Little to no focus on monitoring or system reliability
Deployment Exposure
Production APIs, CI/CD pipelines, containerization, and cloud deployment
Minimal exposure to real production environments
Learning Style
Hands-on, system-first learning with live, deployed applications
Theory-heavy learning with assignments and exams
Tools & Stack
Industry-grade tools: n8n, Flowise, CrewAI, LangGraph, Prometheus, Grafana, Docker
Academic tools or limited GenAI exposure
Proof of Skill
10+ live agentic applications, case studies, and production capstone
Static projects or academic grades
Industry Readiness
Designed for roles in Agentic AI, AIOps, automation, and AI operations
Requires significant on-the-job upskilling

Bridge Course Offered by Futurense

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:

Programming Foundations

GenAI, Agentic AI & Prompt Engineering

Databases with MySQL

Cloud Foundations

Worth โ‚น29,000

Included free with your enrollment.

Led by the Futurense Leadership Council (FLC)

ย 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 โ€“ Insights & Analytics, Ather Energy

Anupam Gupta

Independent Consultant โ€“ 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 Raiย 

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 Raiย 

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 โ€“ AI/ML Product Development, Amplify Health

Ankit Mogra

Director โ€“ 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

form bg-gradient blur

Ready to Engineer Reliable, Scalable AI Systems?

Build, monitor, and automate AI systems trusted by real teams.

Frequently Asked Questions

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

Program Overview
Admissions & Eligibility
Campus Immersion & Certification
Logistics & Fees

What is the duration of the program, and when does the first cohort begin?

The program has a duration of 6 months (24 weeks), comprising 110 contact hours.
ย The first cohort begins in March 2026 (Tentative).

What is the medium of instruction?

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

How can I apply for the PG Certificate in Building Professional Agentic AI with AIOps?

Apply online by submitting your basic details through the application form.

When does the application process begin?

The application process has already begun. Limited seats available.

What is the program all about?

This program is designed to bridge the gap in the current AI market by teaching students how to build domain-specific Small Language Models (SLMs) and Agentic RAG systems. It covers the complete stack: SLM Development, Context Engineering, RAG Systems, and Production Deployment.

Why is this program significant today?

Most organizations are shifting away from massive, expensive general LLMs toward proprietary, domain-specific AI. This creates a massive demand for professionals who can build secure, on-premise SLMs and connect them to enterprise data via RAG โ€” a talent pool that is currently nearly empty.

How does this program differ from other AI/ML technology programs?

Unlike general AI courses, this program focuses specifically on the โ€œFour Pillarsโ€ of modern enterprise AI:
1. SLM Development: Building models with millions/billions of parameters for niche domains
2. Context Engineering: Connecting AI to specific enterprise data
3. Agentic RAG: Moving beyond โ€œone-shotโ€ retrieval to dynamic, autonomous agents
4. Production: Deploying these systems with monitoring and CI/CD pipelines

Are the courses conducted by IIT Jammu faculty?

Yes, the program is awarded by I3C โ€“ Institute Incubation & Innovation Council, IIT Jammu. Sessions are co-designed and delivered by IIT Faculty and industry professionals to ensure a balance of academic rigor and practical industry application.

What is the role of Futurense Technologies in this program?

Futurense Technologies is the Industry and Admission Partner. They provide the platform for live sessions and mentor support.

What specific tools will I master?

You will gain hands-on experience with 30+ tools, categorized as:
1. LLM Platforms: OpenAI GPT-4, Claude, Gemini, Mistral AI, Cohere
2. RAG & Vector DBs: LangChain, LlamaIndex, ChromaDB, Pinecone, Weaviate, Milvus
3. SLM Training: HuggingFace Transformers, PEFT, Unsloth, Axolotl, TRL
4. Agent Frameworks: LangGraph, AutoGen, CrewAI, n8n, Flowise
5. Dev & Ops: Python, FastAPI, Docker, GCP, Git, LangSmith, Streamlit

Additionally, you will work with tools such as Tiktoken, HuggingFace Tokenizers, Promptfoo, DeepEval, Weights & Biases, llama.cpp, Cohere Rerank, Neo4j, GCP Cloud Run, AWS Lambda.

Will I build real projects?

Yes. The program is project-heavy, featuring 15+ AI projects with live URLs. Most notably, you will build 3 custom SLMs (Finance, Healthcare, Legal) and publish them to HuggingFace.

Upon completing this PGC, will I earn the right to be called an IITian?

The certificate is issued by IIT Jammu in collaboration with I3C-IIT Jammu and Futurense. While this provides an IIT credential and high industry recognition, official โ€œIITianโ€ alumni status is typically reserved for graduates of full-time degree programs (such as B.Tech or M.Tech), rather than certificate programs.

Is this PG Certificate equivalent to other full-time IIT programs in the same field?

No. This is a specialized PG Certificate designed for industry-readiness and professional upskilling. It differs from full-time academic degrees in terms of duration and scope, issued by the I3C council.

What roles will I be prepared for after completing the program?

You will be prepared for roles such as:
1. LLM Engineer
2. SLM Engineer
3. RAG Architect
4. AI Agent Developer
5. LLMOps Engineer

What modules are covered in the program?

Modules include:
Module 1: Transformer Foundations
Module 2: SLM, LLM, and Context Engineering
Module 3: SLM Development
Module 4: RAG Architectures
Module 5: Production Deployment
Module 6: Capstone Project

Who is eligible for the program?

The program is open to:
1. Final Year Students: B.Tech / B.E.
2. Early Career Professionals: 0โ€“3 years experience
3. Mid-Career Professionals: 3+ years experience
4. Academic Requirement: B.Tech / B.E. / BCA / M.Sc. / MCA with minimum 50% aggregate

What are the academic prerequisites?

B.Tech / B.E. / BCA / M.Sc. / MCA degree with at least 50% aggregate is required.

Do I need coding experience?

Yes. Python proficiency is mandatory, as you will be building and deploying real AI models and systems.

What is the admission process?

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

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

Yes. A pre-screening/qualifier test is mandatory. It covers:
1. Logical Reasoning
2. Data Literacy & Interpretation
3. AI, LLM & RAG Awareness
4. Python Programming Basics

What documents are typically required for the application?

1. Identity Proof: Aadhaar Card and PAN Card
2. Personal Record: Proof of Date of Birth (DOB)
3. Academic Records:
ย ย ย ย a. 10th Standard Marksheet
ย ย ย ย ย b. 12th Standard Marksheet
ย ย ย ย ย c. Graduation marksheets/degree certificate (or latest semester transcripts for final-year students)
3. Professional Summary: Resume (CV)
4. Employment Verification (if any): Employment proofs (only if applicable)

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

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

Could you explain what Campus Immersion involves?

The program offers an optional campus immersion at IIT Jammu. This allows learners to experience the IIT campus, network with peers, and interact directly with mentors in an academic environment.

Is participation in campus immersion mandatory?

No. Campus immersion is optional. The primary program delivery is through live online sessions.

What is the total fee for the program?

Program Fee: โ‚น84,000 + GST
Application Fee: โ‚น5,000 (Included in Program Fees)
Optional Campus Immersion Fee: Approximately โ‚น10,000

What are the attendance and completion criteria?

To receive the certificate, you must maintain 75% attendance and successfully complete all project requirements.

What is the weekly time commitment?

Expect to spend 15โ€“20 hours per week, including live online sessions, self-study, and project work.

Are there financing options?

Yes, EMI options are available through partner institutions. However, please note that no subvention is offered by IIT Jammu.

Can I self-fund this program?

Yes. You can self-fund partially or in full. The payment schedule provides flexibility.

What is the interest rate on loans?

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

What documents should I keep handy to avail financing?

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

Next
Next