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


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

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.



Earn a prestigious Certification from IIT Jammu (I3C), representing academic excellence and deep-tech specialization.
in Just 7 Months
Module 1: Transformer Foundations
Module 2: LLM Engineering & Context Engineering
Module 3: SLM Development
Module 4: RAG Architectures
Module 5: Production Deployment
Capstone Project: End-to-End AI System
Through the Futurense AI Clinic, you donโt just learn concepts, you build and deploy real LLM, SLM, and RAG systems the way enterprises do.
Work on enterprise-style problem statements focused on domain-specific SLMs, context-aware RAG pipelines, and agent-driven workflows, not toy use cases.
Design and deliver 15+ AI projects, including multiple RAG systems and 3 custom SLMs, with live, shareable URLs and HuggingFace publishing under your name.
Gain hands-on experience with the exact tooling used by modern AI teams, including: HuggingFace Transformers, PEFT (LoRA/QLoRA), and Monitoring tools.
Learn how to take an AI system from data and context design โ model fine-tuning โ retrieval optimization โ deployment, monitoring, and cost control mirroring real production environments.





B.Tech / B.E. / BCA / M.Sc. / MCA or equivalent degree with a minimum of 50% aggregate, as specified in the program prerequisites.
Open to candidates from engineering, computer science, or related technical disciplines with foundational exposure to computing.
Applicants must be prepared for hands-on, project-intensive learning, including system building and deployment-focused assignments.
Python proficiency is required. Familiarity with AI tools such as ChatGPT or Claude is expected for effective learning.
Short Qualifying Test (non-technical)
What Youโll Be Tested On
Duration: 90 minutes
B.Tech / B.E. students in their final year looking to enter AI roles with real, production-ready skills.
Professionals aiming to move beyond basic AI usage into LLM, SLM, and RAG system development.
Engineers and technologists seeking to specialize in domain-specific AI systems, deployment, and context engineering.
Developers, ML engineers, and data professionals who want to build, fine-tune, and deploy real LLM/SLM systems instead of prototypes.
They are working at companies which are a dream for most




Admissions close once the required number of students is enrolled for the upcoming cohort. Apply early to secure your seat.
How it Works
Submit your application and complete the registration process.
Attempt a short test to assess your foundational understanding of LLM, SLM & RAG Developments.
Block your seat by completing the enrollment process and payment.
Kick things off with a 2-Week Bridge Course that gets you course-ready

Worth โน29,000
ย A collective of CXOs, AI leaders, and digital transformation heads from
Fortune 500 companies shaping the AI-native workforce.

























































































Design, fine-tune, and deploy LLMs, SLMs, and RAG systems used in production.
We know you might have some questions before getting started in our platform
The program, titled PG Certificate in AI-Driven LLM, SLM & Agentic RAG Development, is issued by IIT Jammu through I3CโIIT Jammu, in collaboration with Futurense.
The program has a duration of 6 months (24 weeks), comprising 110 contact hours.
ย The first cohort begins in March 2026 (Tentative).
The medium of instruction for all lectures, labs, and materials is English.
Apply online by submitting your basic details through the application form.
The application process has already begun. Limited seats available.
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.
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.
Unlike general AI courses, this program focuses specifically on the โFour 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 โone-shotโ retrieval to dynamic, autonomous agents
4. Production: Deploying these systems with monitoring and CI/CD pipelines
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.
Futurense Technologies is the Industry and Admission Partner. They provide the platform for live sessions and mentor support.
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.
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.
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 โIITianโ alumni status is typically reserved for graduates of full-time degree programs (such as B.Tech or M.Tech), rather than certificate programs.
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 I3C Council.
You will be prepared for roles such as:
1. LLM Engineer
2. SLM Engineer
3. RAG Architect
4. AI Agent Developer
5. LLMOps Engineer
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
The program is open to:
1. Final Year Students: B.Tech / B.E.
2. Early Career Professionals: 0โ3 years experience
3. Mid-Career Professionals: 3+ years experience
4. Academic Requirement: B.Tech / B.E. / BCA / M.Sc. / MCA with minimum 50% aggregate
B.Tech / B.E. / BCA / M.Sc. / MCA degree with at least 50% aggregate is required.
Yes. Python proficiency is mandatory, as you will be building and deploying real AI models and systems.
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
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
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)
Yes. A bridge course is provided. Modules include:
1. Programming Foundations
2. GenAI, Agentic AI & Prompt Engineering
3. Databases with MySQL
4. Cloud Foundations
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.
No. Campus immersion is optional. The primary program delivery is through live online sessions.
Program Fee: โน84,000 + GST
Application Fee: โน5,000 (Included in Program Fees)
Optional Campus Immersion Fee: Approximately โน10,000
To receive the certificate, you must maintain 75% attendance and successfully complete all project requirements.
Expect to spend 15โ20 hours per week, including live online sessions, self-study, and project work.
Yes, EMI options are available through partner institutions. However, please note that no subvention is offered by IIT Jammu.
Yes. You can self-fund partially or in full. The payment schedule provides flexibility.
The interest rate depends on the financial institution providing the loan. Rates are described as reasonable and competitive as per the current market.
1. PAN
2. Aadhaar
3. Last 3 months bank statements