PG Certificate in AI-ML: LLM, SLM & Agentic Dev
The PG Certificate Program in AI-ML Engineering with LLM, SLM & Agentic Development is offered by IIT Jammu through its Institute Incubation & Innovation Council (I3C), in collaboration with Futurense Technologies. Designed for engineers and tech professionals, this 7-month program equips learners with the skills to design, fine-tune, and deploy domain-specific Large Language Models, Small Language Models, and Agentic RAG systems used in modern enterprise AI applications.\n\nThe curriculum spans six modules: Transformer Foundations, LLM Engineering & Context Engineering, SLM Development, RAG Architectures, Production Deployment, and a Capstone Project. Learners gain hands-on experience with 30+ industry tools including HuggingFace, LangChain, LlamaIndex, FastAPI, Docker, and leading vector databases. By program end, participants build 15+ live AI projects and publish 3 custom SLMs on HuggingFace.\n\nThe program is delivered 100% online through live sessions and includes optional campus immersion at IIT Jammu. Career assistance by Futurense covers resume building, mock interviews, exclusive job board access, and salary negotiation support. Graduates are prepared for roles such as LLM Engineer, RAG Architect, SLM Engineer, AI Agent Developer, and LLMOps Engineer.
Instructors:
English
Course Start Date:
May, 2026
Application Deadline:
10th May, 2026
Duration:
7 Months
₹ 84,000
Overview
The PG Certificate Program in AI-ML Engineering with LLM, SLM & Agentic Development is a 7-month industry-aligned program offered by IIT Jammu's I3C in collaboration with Futurense Technologies. Established in 2016, IIT Jammu is one of India's fastest-growing IITs, known for research excellence and industry collaboration. The I3C (Institute Incubation & Innovation Council) enables agile, industry-aligned certification programs with real-world relevance.
The program is designed for engineering graduates and professionals who want to move from using AI tools to building real-world generative AI systems. With 18 credits across 6 modules and a capstone, learners master the complete LLM stack — from transformer fundamentals and context engineering to SLM fine-tuning, production RAG architectures, and cloud deployment. The program includes 110+ contact hours delivered via live online sessions and a portfolio of 15+ production-grade AI projects.
Futurense Technologies serves as the industry and admissions partner, providing career assistance through its Futurense Leadership Council (FLC) — a collective of CXOs and AI leaders from Fortune 500 companies. Optional campus immersion at IIT Jammu allows learners to network with peers and mentors on campus.
Why Artificial Intelligence?
The PG Certificate in AI-ML Engineering with LLM, SLM & Agentic Development from IIT Jammu stands apart because it bridges the gap between theoretical AI knowledge and production-grade deployment. Unlike generic ML programs, this curriculum is built around the real enterprise AI stack: SLM fine-tuning, context engineering, agentic RAG systems, and LLMOps — skills that are in critical demand across fintech, healthcare, legal, and e-commerce sectors.
Learners build 15+ live AI projects with shareable URLs and publish 3 custom SLMs on HuggingFace under their own profiles, creating a recruiter-verifiable portfolio. The program is backed by IIT Jammu (I3C) certification — a credential from one of India's premier technical institutes — and supported by the Futurense Leadership Council comprising senior AI leaders from Google, Spotify, Schneider Electric, Aditya Birla Group, and more.
A 2-week bridge course worth ₹29,000 is included, covering programming foundations, GenAI, databases, and cloud. Futurense's career assistance ecosystem — job board, interview playbooks, mock interviews, mentor referrals, and salary negotiation support — ensures learners are job-ready upon completion. Professionals completing this program can target roles with salaries ranging from ₹12 LPA to ₹75+ LPA.
What does this course have to offer?
Key Highlights
IIT Jammu PG Certificate awarded by I3C — one of India's top IITs
18 credits, 7-month live online program with 110+ contact hours
15+ live AI projects including 3 SLMs published on HuggingFace
30+ industry tools including LangChain, FastAPI, Docker, Vector DBs
Optional campus immersion at IIT Jammu
2-week bridge course worth ₹29,000 included
Career assistance by Futurense with exclusive job board access
Futurense Leadership Council (FLC) mentorship from Fortune 500 AI leaders
Production-grade RAG systems and agentic workflows
Roles targeted: LLM Engineer, RAG Architect, SLM Engineer — ₹12–75+ LPA
Interested in career outcomes and specializations?
Who is this programme for?
Final-year B.Tech/B.E. students seeking AI engineering roles
Early-career professionals (0–3 years) aiming to build LLM and RAG systems
Mid-career engineers (3+ years) specializing in domain-specific AI
ML engineers, data scientists, and developers wanting to deploy real LLM/SLM systems
NLP engineers and AI practitioners transitioning to production AI roles
Minimum Eligibility
B.Tech / B.E. / BCA / M.Sc. / MCA or equivalent degree with minimum 50% aggregate
Engineering, computer science, or related technical disciplines
Python proficiency required
Familiarity with AI tools such as ChatGPT or Claude expected
Prepared for hands-on, project-intensive and deployment-focused learning
Not sure whether you qualify for this programme?
Who is the programme for?
The program is open to candidates with a B.Tech / B.E. / BCA / M.Sc. / MCA or equivalent degree with a minimum of 50% aggregate marks. Applicants must have a background in engineering, computer science, or a related technical discipline. Python proficiency is mandatory, as the program involves building and deploying AI systems from scratch.
The admission process involves four steps: online application, a pre-screening qualifying test, an offer letter, and enrollment with fee payment followed by the bridge course. The qualifying test is 90 minutes long and covers Logical Reasoning, Data Literacy & Interpretation, AI/LLM/RAG Awareness, and Python Programming Basics. It consists of 32 questions across 5 sections (MCQ + coding), with a minimum 50% overall qualifying score and sectional cutoffs. The coding section includes 2 Python problems worth 10 marks each.
Required documents include: Aadhaar Card, PAN Card, proof of date of birth, 10th and 12th marksheets, graduation marksheet or degree certificate, resume, and employment proofs if applicable. Admissions close once the cohort is filled, so early application is recommended.
Selection process
How to apply?
Curriculum
The program curriculum is structured across 6 modules plus a capstone, totaling 18 credits over 7 months. Module 1 (Transformer Foundations) covers transformer architecture, attention mechanisms, tokenization, context windows, and model selection across GPT-4o, Claude, Gemini, and open-source alternatives. Module 2 (LLM Engineering & Context Engineering) covers context engineering patterns, advanced prompting (Chain-of-Thought, ReAct, Tree-of-Thought), enterprise prompt systems, and LLM evaluation for hallucination detection.\n\nModule 3 (SLM Development) focuses on LoRA and QLoRA fine-tuning, training 7B models on consumer GPUs, model quantization (GGUF, GPTQ, AWQ), dataset curation, and Unsloth-accelerated training. Module 4 (RAG Architectures) covers vector databases (ChromaDB, Pinecone, Qdrant), hybrid search, advanced RAG patterns (Self-RAG, CRAG, GraphRAG), hallucination reduction, and multi-domain RAG systems. Module 5 (Production Deployment) covers FastAPI-based LLM APIs, Docker containerization, cloud deployment, production monitoring, guardrails, and CI/CD pipelines.\n\nThe Capstone Project integrates SLM + RAG + deployment into a complete, production-ready AI system with monitoring, observability, architecture documentation, and a demo video. A 2-week bridge course precedes the main curriculum, covering programming foundations, GenAI/agentic AI basics, MySQL, and cloud fundamentals.
There are 7 semesters in this course
Module 1: Transformer Foundations covers the architecture behind GPT-4, Claude, and Gemini, including attention mechanisms, tokenization, context windows, reasoning limitations, and model selection frameworks across major providers. Module 2: LLM Engineering & Context Engineering teaches context engineering — writing, selecting, compressing, and isolating context — along with advanced prompting patterns such as Chain-of-Thought, ReAct, and Tree-of-Thought, enterprise-grade prompt systems, and automated evaluation suites for production readiness. Module 3: SLM Development covers LoRA and QLoRA fine-tuning for domain-specific small language models, training 7B-parameter models on consumer-grade GPUs, model quantization using GGUF, GPTQ, and AWQ formats for local and edge deployment, dataset curation strategies inspired by Dolly and Constitutional AI, and accelerated training using Unsloth-optimized kernels. Module 4: RAG Architectures explores vector databases including ChromaDB, Pinecone, and Qdrant, hybrid search combining BM25 with dense retrieval and reranking, advanced RAG patterns such as Self-RAG, CRAG, and GraphRAG, hallucination reduction through retrieval validation, and multi-domain RAG systems for fintech, healthcare, legal, and e-commerce. Module 5: Production Deployment covers building LLM APIs using FastAPI with streaming, authentication, and rate limiting, Docker-based containerization and cloud deployment, production monitoring for latency, cost, and quality, guardrails, security controls, budget protection, and CI/CD pipelines for deployed LLM systems. The Capstone Project integrates SLM development, RAG architecture, and production deployment into a complete, recruiter-verifiable AI application with monitoring, observability, and technical documentation.
Module 1: NLP & ML Foundations
Module 2: Sequence Models & Transformers
Module 3: LLMs & Prompt Engineering
Module 4: RAG Architecture
Module 5: LLM/SLM Engineering
Module 6: Agentic AI & Production
Module 7: Capstone & Portfolio
Programme Length
7 months (approximately 24 weeks), delivered fully online with live sessions. Optional campus immersion at IIT Jammu is available. Learners are expected to commit 15–20 hours per week including live sessions, self-study, and project work.
Whom you will learn from?
Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.
Instructor
Assistant Professor in Computer Science & Engineering at IIT Jammu
Dr. Harkeerat Kaur is an Assistant Professor in the Department of Computer Science & Engineering at the Indian Institute of Technology (IIT) Jammu. She has a strong academic background and extensive research experience. In December 2019, she served as a Visiting Researcher at the National Institute of Informatics (NII) in Japan. From December 2017 to December 2018, Dr. Kaur worked as a Research and Technical Assistant on the project “Privacy Enhancing Revocable Biometric Entities (PERBI)” sponsored by the Board of Research in Nuclear Sciences, Department of Atomic Energy, Government of India.
Tuition Fee
The total program fee is ₹84,000 + 18% GST (totaling approximately ₹99,120). The application fee of ₹5,000 is payable to Futurense Technologies at the time of application and is non-refundable; it is included in the program fee. Campus immersion, if opted, involves an additional fee of approximately ₹10,000 payable directly to IIT Jammu (I3C); travel, boarding, and lodging during campus immersion are to be borne by the participant.
EMI options are available through partner financial institutions, though no interest subvention is offered by IIT Jammu. Interest rates are described as competitive per current market rates. Documents required for financing include PAN, Aadhaar, and the last 3 months' bank statements. The program certificate is awarded upon successful completion, subject to a minimum 75% attendance and completion of all project requirements.
Fee Structure
Payment options
Need help understanding fees, EMI options, or scholarships?
Learning Experience
The program is delivered 100% online through live instructor-led sessions, totaling 110+ contact hours over 7 months. Learners spend 15–20 hours per week across live classes, self-paced study, lab sessions, and project work. The Futurense AI Clinic model emphasizes building and deploying real AI systems — not toy projects — mirroring how enterprise AI teams work.
Learners work on 15+ portfolio-grade projects including multi-domain RAG systems and 3 custom SLMs published on HuggingFace with shareable URLs. Hands-on experience spans 30+ industry tools across LLM platforms, SLM training frameworks, vector databases, agentic orchestration tools, and DevOps/deployment stacks. The program includes a 2-week bridge course to ensure all learners are course-ready, covering programming foundations, GenAI basics, databases, and cloud. Faculty from IIT Jammu deliver academic instruction, supplemented by industry experts and the Futurense Leadership Council.
University Experience
IIT Jammu, established in 2016, is one of India's fastest-growing IITs, located in Jammu. Its Institute Incubation & Innovation Council (I3C) is a Section-8 not-for-profit organization that enables industry-aligned certification and upskilling programs. I3C's programs are designed for agility and real-world relevance, with collaboration from industry leaders and research-active faculty.
The program director, Dr. Harkeerat Kaur, is an Assistant Professor at IIT Jammu specializing in Computer Vision, AI, Blockchain Technologies, and Data Privacy. She has a Ph.D. and M.Tech. from PDPM IIITDM Jabalpur, international research exposure as a Visiting Researcher at NII Japan, and is a recipient of the Best Thesis Award at CICT 2018. Optional campus immersion gives learners the opportunity to visit IIT Jammu, interact with faculty and peers, and experience the campus environment directly. The 18-credit PG Certificate is issued by IIT Jammu/I3C upon successful completion.
Word from the Directors
Dr. Harkeerat Kaur
Assistant Professor, IIT Jammu
Build real LLMs, SLMs, and RAG systems the way enterprises do — not toy models, but production-grade AI with monitoring, deployment, and measurable impact.
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About the University
Established in 2016 by the Government of India, IIM Jammu is recognized as an Institute of National Importance. Operating from a new 200-acre campus in Jagati and an off-campus in Srinagar, the institute offers comprehensive management education through various programs including MBA, Executive MBA, PhD, and integrated programs. IIM Jammu has established itself as a center for excellence in value-based education, research, and strong corporate linkages.
#42
NIRF Management Ranking 2024
239
Total Students
Affiliation & Recognition
UGC
AICTE
Institute of education
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Instructor
Assistant Professor in Computer Science & Engineering at IIT Jammu
Dr. Harkeerat Kaur is an Assistant Professor in the Department of Computer Science & Engineering at the Indian Institute of Technology (IIT) Jammu. She has a strong academic background and extensive research experience. In December 2019, she served as a Visiting Researcher at the National Institute of Informatics (NII) in Japan. From December 2017 to December 2018, Dr. Kaur worked as a Research and Technical Assistant on the project “Privacy Enhancing Revocable Biometric Entities (PERBI)” sponsored by the Board of Research in Nuclear Sciences, Department of Atomic Energy, Government of India.
Career services
IIM Jammu's placement cell provides comprehensive career development support through structured recruitment processes. The institute has maintained a 100% placement record with significant participation from industry leaders. The placement process includes both domestic and international opportunities, with dedicated support for career counseling and industry engagement. The class of 2021-23 witnessed participation from over 124 companies, including 57 first-time recruiters, offering roles in Product Management, Marketing, Consulting, Finance, and General Management
64LPA
Highest Package
16.50LPA
Average Package
15.25LPA
Median Package
Top Recruiters
Course Start Date:
May, 2026
Application Deadline:
10th May, 2026
Duration:
7 Months
₹ 84,000
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.