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PG Certificate Program in AI-ML Engineering with LLM, SLM & Agentic Development
Learn to Build Domain-Specific LLMs, SLMs & Production-Ready RAG Systems
Start Date
April 2026 (Tentative)
Duration
7 months
Course Fee
₹84,000 + 18% GST
No. of Seats Left
34
Credits
18
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
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
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
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
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
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
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
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
By The End, You’ll Be Able To Do All This
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)
Selection Process
Short Qualifying Test (non-technical)
Qualifying Test
What You’ll Be Tested On
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
Role Now
Backend Developer
Salary
4-8 LPA
Role Upgraded
LLM Engineer
Earning Potential
₹12-45+ LPA
Role Now
API Developer
Salary
₹5-10 LPA
Role Upgraded
RAG Architect
Earning Potential
₹15-50+ LPA
Role Now
Full-Stack Developer
Salary
₹6-12 LPA
Role Upgraded
AI Agent Developer
Earning Potential
₹20-60+ LPA
Role Now
Platform Engineer
Salary
₹8-15 LPA
Role Upgraded
LLMOps Engineer
Earning Potential
₹18-75+ LPA
Role Now
Data Scientist
Salary
₹6-12 LPA
Role Upgraded
SLM Engineer
Earning Potential
₹18-55+ LPA
Role Now
ML Engineer
Salary
₹8-15 LPA
Role Upgraded
LLM Engineer (Applied GenAI)
Earning Potential
₹15-45+ LPA
Role Now
NLP Engineer
Salary
₹10-18 LPA
Role Upgraded
Domain LLM Specialist
Earning Potential
₹20-50+ LPA
Role Now
AI Research Associate
Salary
₹7-14 LPA
Role Upgraded
Applied AI Systems Engineer
Earning Potential
₹18-40+ LPA
Role Now
DevOps Engineer
Salary
₹6-12 LPA
Role Upgraded
LLMOps Engineer
Earning Potential
₹18-75+ LPA
Role Now
Cloud Engineer
Salary
₹7-14 LPA
Role Upgraded
AI Infrastructure Engineer
Earning Potential
₹20-45+ LPA
Role Now
MLOps Engineer
Salary
₹10-18 LPA
Role Upgraded
Production AI Engineer
Earning Potential
₹22-55+ LPA
Role Now
SRE
Salary
₹12-20 LPA
Role Upgraded
AI Systems Reliability Engineer
Earning Potential
₹25-60+ LPA
Role Now
QA Engineer
Salary
₹3-6 LPA
Role Upgraded
AI Agent Developer
Earning Potential
₹15-35+ LPA
Role Now
Technical Support Engineer
Salary
₹3-5 LPA
Role Upgraded
RAG Implementation Engineer
Earning Potential
₹12-30+ LPA
Role Now
Automation Tester
Salary
₹5-8 LPA
Role Upgraded
AI Workflow Engineer
Earning Potential
₹18-40+ LPA
Role Now
Application Support Engineer
Salary
₹4-7 LPA
Role Upgraded
LLM Application Engineer
Earning Potential
₹15-35+ LPA
Role Now
Business Analyst
Salary
₹5-10 LPA
Role Upgraded
AI Product Analyst
Earning Potential
₹15-30+ LPA
Role Now
Product Manager
Salary
₹12-20 LPA
Role Upgraded
AI Systems Product Lead
Earning Potential
₹25-50+ LPA
Role Now
Knowledge Management Specialist
Salary
₹4-8 LPA
Role Upgraded
Enterprise RAG Architect
Earning Potential
₹18-45+ LPA
Role Now
Industry SME
Salary
₹8-15 LPA
Role Upgraded
Domain SLM Specialist
Earning Potential
₹20-55+ LPA
Career Assistance By Futurense
Profile, Narrative & Resume Building
Craft a recruiter-ready identity with optimized resumes, LinkedIn profiles, and a strong career narrative.
Career-Specific Training
Develop job-ready skills with role-focused training, capability tests, AI tools workshops, and continuous upskilling to match real hiring expectations.
Futurense Job Board - Exclusive Opportunities
Access curated, pre-vetted roles before they hit public portals, with priority visibility for Futurense learners.
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.
Mentor Referrals & Networking
Unlock referral advantages, insider recommendations, alumni-driven opportunities, and FLC mentorship that accelerates your career entry.
Salary Negotiation Support
Get guidance on positioning, benchmarking, negotiation strategy, and communication to secure the compensation you deserve.
Our students are acing it!
Disclaimer: All products and company names are trademarks or registered trademarks of their respective holders. Use of product and company names does not imply any affilation with or endorsement by the holders.
They are working at companies which are a dream for most
Fee Structure
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
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 LLM, SLM & RAG Developments.
3
Confirm Your Seat
Block your seat by completing the enrollment process and payment.
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
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 global and Fortune 500 companies shaping the AI-native workforce.
Ready to Build AI Models That Power Real Products?
Design, fine-tune, and deploy LLMs, SLMs, and RAG systems used in production.
Frequently Asked Questions
We know you might have some questions before getting started in our platform
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.
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 pay the full program fee of ₹84,000 + GST directly without using an EMI option.
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