PG Certificate in AI-Driven LLM, SLM & Agentic RAG Development

Learn to Build Domain-Specific LLMs, SLMs & Production-Ready RAG Systems

Application Deadline

20th March, 2026

Apply Now Download Brochure

Application Closes In:

Days

Hours

Minutes

Sec

Start Date

April, 2026 (Tentative)

Duration

7 months

Course Fee

₹84,000 + 18% GST

No. of Seats Left

34

Credits

18

Application Deadline

20th March, 2026

Application Closes In:

Days

Hours

Minutes

Sec

Program Highlights

Build and deploy SLMs, LLM applications, and Agentic RAG systems

Graduate with 15+ live AI projects, including RAG systems and custom SLMs

Master the full pipeline from context engineering to deployment and monitoring

Work hands-on with 30+ industry tools used by real AI teams

Earn an IIT Jammu PG Certificate with optional campus immersion

Download Brochure For Full Details

About IIT Jammu

The Indian Institute of Technology Jammu (IIT Jammu), established in 2016, is one of India’s fastest-growing IITs, committed to innovation, research excellence, and industry collaboration. Strengthening this mission is the Institute Incubation & Innovation Council (I3C), IIT Jammu’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

Dr. Harkeerat Kaur

Assistant Professor, Indian Institute of Technology Jammu

Dr. Harkeerat Kaur is an Assistant Professor at IIT Jammu with academic and research expertise in Computer Science and Engineering. Her research interests include Computer Vision, Image Processing, Biometrics, Visual Cryptography, Artificial Intelligence, Blockchain Technologies, and Data Privacy. She holds a Ph.D. and M.Tech. (Dual Degree) from PDPM IIITDM Jabalpur and a B.E. in Information Technology from Jabalpur Engineering College.

She has international research exposure as a Visiting Researcher at the National Institute of Informatics (NII), Japan, and has contributed to government-funded research through the Privacy Enhancing Revocable Biometric Entities (PERBI) project sponsored by the Department of Atomic Energy, Government of India. Dr. Kaur is a recipient of the Best Thesis Award at CICT 2018 and First Prize at the PhD Symposium, Design Workshop 2019. Her teaching spans Design and Analysis of Algorithms, Computer Vision, Image Processing, Computer Graphics, and Computer Architecture, with a strong focus on applying theory to real-world, privacy-aware intelligent systems.

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: Transformer Foundations

Transformer architecture behind GPT-4, Claude, and Gemini

Attention mechanisms, tokenization & context windows

Why “GPT can’t count” and how reasoning actually works

Deep-dive into OpenAI, Anthropic & Google model architectures

Model selection framework: GPT-4o vs Claude vs Gemini vs Open-Source

Module 2: LLM Engineering & Context Engineering

Context engineering: writing, selecting, compressing & isolating context

Advanced prompting patterns: Chain-of-Thought, ReAct, Tree-of-Thought

Enterprise-grade prompt systems and reasoning workflows

LLM evaluation & testing to detect hallucinations before production

Automated evaluation suites for production readiness

Module 3: SLM Development

LoRA & QLoRA fine-tuning for domain-specific SLMs

Training 7B models on consumer GPUs with reduced costs

Model quantization: GGUF, GPTQ, AWQ for local & edge deployment

Dataset curation strategies inspired by Dolly & Constitutional AI

Accelerated training using Unsloth optimized kernels

Module 4: RAG Architectures

Vector databases: ChromaDB, Pinecone & Qdrant

Hybrid search: BM25 + dense retrieval + reranking

Advanced RAG patterns: Self-RAG, CRAG & GraphRAG

Hallucination reduction through retrieval validation

Multi-domain RAG systems across fintech, healthcare, legal & e-commerce

Module 5: Production Deployment

LLM APIs using FastAPI with streaming, auth & rate limiting

Docker-based containerization & cloud deployment

Production monitoring: latency, cost & quality tracking

Guardrails, security controls & budget protection

CI/CD pipelines for deployed LLM systems

Capstone Project: End-to-End AI System

Complete AI system combining SLM + RAG + deployment

Industry-focused implementation (finance, healthcare, legal, e-commerce)

Production deployment with monitoring & observability

Architecture documentation, demo video & technical write-up

Recruiter-verifiable, production-grade AI application

Your Portfolio at the End of the Program

15+ Projects With Live URLs

3 Hugging Face SLMs Published under your name

5+ RAG Systems Multi-domain portfolio

Futurense AI Clinic

Through the Futurense AI Clinic, you don’t just learn concepts, you build and deploy real LLM, SLM, and RAG systems the way enterprises do.

Build Real-World AI Systems

Work on enterprise-style problem statements focused on domain-specific SLMs, context-aware RAG pipelines, and agent-driven workflows, not toy use cases.

Portfolio-Grade Live Projects

Design and deliver 15+ AI projects, including multiple RAG systems and 3 custom SLMs, with live, shareable URLs and HuggingFace publishing under your name.

Industry-Used LLM & RAG Stack

Gain hands-on experience with the exact tooling used by modern AI teams, including: HuggingFace Transformers, PEFT (LoRA/QLoRA), and Monitoring tools.

End-to-End AI Execution

Learn how to take an AI system from data and context design → model fine-tuning → retrieval optimization → deployment, monitoring, and cost control mirroring real production environments.

While Mastering 20+ Tools

LLM & SLM Platforms

SLM Training & Fine-Tuning

RAG, Retrieval & Vector Databases

Agentic AI & Orchestration

Deployment, Monitoring & Ops

By The End, You’ll Be Able To Do All This

Build Domain-Specific SLMs

Design, fine-tune, compress, and benchmark small language models for real enterprise domains like finance, healthcare, and legal.

Engineer Context-Aware LLM Systems

Apply context engineering patterns (CoT, ReAct, Tree-of-Thought) to build reliable, low-hallucination LLM applications.

Design Production-Grade RAG Architectures

Build multi-strategy RAG systems using vector databases, hybrid search, reranking, and graph-based retrieval.

Publish Models to HuggingFace

Train and release custom SLMs on HuggingFace under your own profile, with proper versioning and documentation.

Build Agentic AI Workflows

Create AI agents and multi-step workflows that reason, retrieve, call tools, and adapt across tasks and data sources.

Optimize LLM Performance & Cost

Analyze token usage, latency, and accuracy to optimize model selection, prompts, and retrieval strategies.

Deploy AI Systems to Production

Package and deploy LLM and RAG systems as APIs, using containerization and cloud-native deployment workflows.

Monitor, Evaluate & Debug AI Systems

Set up LLM evaluation pipelines, detect hallucinations, monitor performance, and implement observability for live systems.

Deliver an End-to-End AI Capstone

Integrate SLM + RAG + deployment into a complete, production-ready AI system as your flagship portfolio project.

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 You’ll Be Tested On

Logical Reasoning

Data Literacy & Interpretation

AI, LLM & RAG Interpretation

Python Programming Basics

Duration: 90 minutes

Important Guidelines

Online assessment (MCQ + coding-based test)

Qualifying Criteria: Minimum 50% overall score

Total Questions: 32

Sections: 5 (each section must be attempted; sectional cutoff applies)

No programming experience required for the MCQ sections

Coding section includes 2 Python problems (10 marks each)

Attempt sections in any order

Manage time across sections; no sectional time limit

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 Thatʼll Be Looking for You

LLM / RAG Specialists

SLM & Production AI Engineers

LLMOps & AI Infrastructure Roles

Earning Potential

₹20-55+ LPA

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.

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

Fee Structure

Total Program Fee

₹84,000

+ 18% GST

Apply Now

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

Application fee of ₹5,000 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 March, 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

Submit Your Application

Submit your application and complete the registration process.

Take the Pre-Screening Test

Attempt a short test to assess your foundational understanding of LLM, SLM & RAG Developments.

Confirm Your Seat

Block your seat by completing the enrollment process and payment.

Apply Now

Traditional AI / ML Program vs. IIT Jammu’s LLM, SLM & Agentic RAG Program

Dimension

This Programme

Other Programme

Focus

Domain-specific SLMs, LLMs, Context Engineering & Agentic RAG systems

General AI/ML concepts with limited LLM depth

Curriculum

End-to-end LLM stack covering SLM fine-tuning, RAG architectures, agents, and production deployment

Isolated ML, DL, or NLP topics

Learning Style

Hands-on builds: SLMs, RAG pipelines, agent workflows, and live systems

Theory-heavy learning, assignments, and exams

Industry Relevance

Production-ready AI systems with deployment, monitoring, and cost optimization

Minimal exposure to production AI

Tools & Stack

Modern LLM stack: HuggingFace, LangChain, LlamaIndex, Vector DBs, FastAPI, Docker, Cloud

Limited exposure to real-world GenAI tooling

Proof of Skill

15+ live projects, 3 SLMs published on HuggingFace, deployed RAG systems

Academic grades or static projects

Career Outcomes

LLM Engineer, SLM Engineer, RAG Architect, AI Agent Developer, LLMOps Engineer

Generic ML / Data roles

Credentialing

PG Certificate from I3C, Indian Institute of Technology Jammu

Non-specialized certification

Deployment Exposure

API-based deployment, CI/CD, monitoring, and observability

Little to no deployment practice

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 ₹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

Ready to Build AI Models That Power Real Products?

Design, fine-tune, and deploy LLMs, SLMs, and RAG systems used in production.

Apply Now

Frequently Asked Questions

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

Program Overview & Eligibility

Learning Format, Faculty & Pedagogy

Curriculum & Tools

Career Pathways & Outcomes

Financials & Support

What is the name of the certificate program, and which institute offers it?

The program, titled PG Certificate in AI-Driven LLM, SLM & Agentic RAG Development, is offered by IIT Jammu through I3C–IIT Jammu, in collaboration with Futurense.

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

The program has a duration of 6 months (24 weeks) comprising 110+ contact hours. The next cohort begins tentatively in March 2026.

What is the medium of instruction?

All lectures, labs, and materials for the program are delivered in a 100% online format in English.

How can I apply for the PG Certificate in AI-Driven LLM, SLM & Agentic RAG Development?

Candidates can apply online through the official admission portal by submitting their details.

When does the application process for the PG Certificate in AI-Driven LLM, SLM & Agentic RAG Development begin?

The application process has already begun for the program and the seats are filling fast.

What is the PG Certificate in AI-Driven LLM, SLM & Agentic RAG Development program all about?

This program is designed to help professionals move beyond using AI tools to building real-world generative AI systems. It teaches participants how to design and deploy domain-specific LLMs, Small Language Models (SLMs), and Agentic RAG systems used in modern AI applications. Through hands-on learning, learners gain the skills to build production-ready AI solutions for real business use.

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

The program focuses on four key pillars of enterprise AI:SLM Development, Context Engineering, Agentic RAG systems, and Production deployment with monitoring and CI/CD pipelines.

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 and Futurense, providing official recognition, but “IITian” alumni status is generally reserved for full-time degree programs.

Is the PG Certificate in AI-Driven LLM, SLM & Agentic RAG Development from IIT Jammu considered 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, and it differs from full-time academic degree programs in duration and scope.

Who is eligible for the PG Certificate in AI-Driven LLM, SLM & Agentic RAG Development?

The program is open to:
• Final Year Students: B.Tech / B.E.
• Early Career Professionals: 0–3 Years Experience
• Mid-Career Professionals: 3+ Years Experience

What are the academic prerequisites for attending this PG certificate programme?

Candidates must have technical degrees such as B.Tech / B.E. / BCA / M.Sc. / MCA, with at least 50% aggregate marks.

Do I need coding experience?

Yes. Python proficiency is mandatory, as students will build and deploy AI models and systems.

What is the admission process?

The admission process includes:
• Apply Online by submitting details
• Pre-screening Assessment
• Receive Offer Letter
• Enrollment by paying the fee and starting the bridge course

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

Yes. A mandatory pre-screening test assesses:
• Logical Reasoning
• Data Literacy & Interpretation
• AI, LLM & RAG Awareness
• Python Programming Basics

What documents are typically required for the application?

Applicants must submit:
• Aadhaar Card and PAN Card (Identity Proof)
• Proof of Date of Birth
• 10th Standard Marksheet
• 12th Standard Marksheet
• Graduation Marksheet / Degree Certificate or latest transcripts
• Resume (Professional Summary)
• Employment proofs (if applicable)

Are the courses in this program conducted by faculty from IIT Jammu?

Yes. The courses are delivered by IIT Jammu faculty along with experienced industry experts.

What is the role of Futurense Technologies in this program?

Futurense Technologies serves as the Industry and Admission Partner and provides the platform for live sessions and mentor support.

Will I build real projects?

Yes. The program includes 15+ AI projects, including building three domain-specific SLMs (Finance, Healthcare, Legal) and publishing them on HuggingFace.

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

Yes. A bridge course is provided covering:
• Programming Foundations
• GenAI, Agentic AI & Prompt Engineering
• Databases with MySQL
• Cloud Foundations

Could you explain what Campus Immersion involves?

Campus immersion is an optional visit to IIT Jammu, allowing students to experience the campus, network with peers, and interact with mentors.

Is participation in campus immersion mandatory?

No. Campus immersion is optional, and the main program is delivered through live online sessions.

What are the attendance and completion criteria?

Students must maintain 75% attendance and complete all project requirements to receive the certificate.

What is the weekly time commitment?

Students should expect to spend 15–20 hours per week, including live sessions, self-study, and project work.

What specific tools will I master?

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

What modules are covered in the PG Certificate in AI-Driven LLM, SLM & Agentic RAG Development?

The program includes the following modules:
• Transformer Foundations
• SLM, LLM & Context Engineering
• SLM Development
• RAG Architectures
• Production Deployment
• Capstone Project

Do I need coding knowledge to participate in the program’s selection process?

Yes, a basic understanding of programming—especially Python—is required to successfully complete the pre-screening test.

What roles will I be prepared for after completing the PG Certificate in AI-Driven LLM, SLM & Agentic RAG Development?

After completing the program, learners can pursue roles such as:
• LLM Engineer
• SLM Engineer
• RAG Architect
• AI Agent Developer
• LLMOps Engineer

Does this program help build a portfolio for AI-related roles?

Yes. Through hands-on development of LLM, SLM, and RAG-based applications, learners gain practical experience that can help demonstrate their skills when pursuing roles in AI engineering and generative AI development.

How will learning RAG systems and AI agents impact my career opportunities?

RAG pipelines and AI agents are increasingly used to build enterprise AI applications, intelligent assistants, and automated workflows. Developing expertise in these areas positions learners for specialized roles in modern AI development.

Can this program help professionals transition into AI engineering roles?

Yes. Professionals with programming or technical backgrounds can leverage the program to move into specialized roles in LLM and AI application development.

What is the total fee for the program?

The program fee is ₹84,000 + GST. The application fee is ₹5,000 and is included in the program fee.

Is there an additional fee for campus immersion?

Yes. The optional campus immersion costs approximately ₹10,000.

Are there financing options?

Yes. Flexible EMI options are available through financial partners.

Can I self-fund this program?

Expect to spend 15–20 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