PG Certificate in Agentic AI & AIOps
The PG Certificate in Building Professional Agentic AI with AIOps is a 7-month intensive program offered by IIT Jammu through I3C, in collaboration with Futurense. Designed for engineers, developers, and tech professionals, this program goes far beyond traditional AI/ML theory — it trains learners to build, deploy, monitor, and operate production-grade agentic AI systems. Participants progress from no-code agent design using n8n and Flowise to advanced multi-agent orchestration with LangGraph and CrewAI, intelligent RAG pipelines, AIOps observability stacks, and CI/CD deployment with Docker and cloud platforms. The curriculum is structured across six core modules plus a capstone project, covering agent architectures, agentic RAG with self-correction and hybrid retrieval, multi-agent systems with task delegation and shared memory, production deployment, and AIOps with Prometheus, Grafana, Loki, and OpenTelemetry. Upon graduation, learners hold a portfolio of 10+ deployed AI applications with live URLs, 5 production case studies, and a flagship capstone project — making them job-ready for roles such as Agentic AI Developer, AIOps Engineer, GenAI Solutions Engineer, and AI Systems Reliability Engineer. Career support through Futurense includes resume building, LinkedIn branding, interview preparation, mock interviews, and access to the Futurense Leadership Council featuring CXOs and AI leaders from Fortune 500 companies.
Instructors:
Prof. Suman Banerjee
English
Course Start Date:
30th Jun, 2026
Application Deadline:
15th May, 2026
Duration:
7 Months
₹ 84,000
Overview
The PG Certificate in Building Professional Agentic AI with AIOps is a 7-month program by IIT Jammu (I3C) and Futurense designed to train professionals and students in building, deploying, and operating production-grade agentic AI systems. Unlike theory-first AI programs, this course emphasizes system-first, hands-on learning — starting from no-code agent frameworks and progressing to enterprise-grade deployments with live infrastructure. Participants build 10+ real-world applications, complete 5 production case studies, and deliver a flagship capstone combining multi-agent systems, RAG, and AIOps. The program is led by Prof. Suman Banerjee, Assistant Professor at IIT Jammu, and supported by the Futurense Leadership Council — a network of CXOs and AI leaders from global Fortune 500 companies. Learners gain proficiency across 30+ industry tools including n8n, CrewAI, LangGraph, Prometheus, Grafana, Docker, and OpenAI/Claude/Gemini LLM providers. On successful completion, participants receive an IIT Jammu PG Certificate along with a production-grade portfolio that demonstrates real system-building capability — making them highly competitive for AI-native roles.
Why Artificial Intelligence?
This program stands out by focusing exclusively on production-ready agentic AI — not demos, not academic exercises. Learners build and deploy 10+ AI applications with live URLs, gaining the kind of system-building experience that most courses skip. The IIT Jammu certification, backed by one of India's fastest-growing IITs, adds institutional credibility to technical skills. The curriculum is end-to-end: from no-code agent design to AIOps observability, CI/CD pipelines, and cloud deployment. With 30+ industry-grade tools, a 2-week bridge course, optional campus immersion at IIT Jammu, and career support through the Futurense Leadership Council, learners get comprehensive preparation for high-demand AI-native roles. Salary benchmarks for graduates range from ₹12–60+ LPA across roles including Agentic AI Developer, AIOps Engineer, and GenAI Solutions Engineer.
What does this course have to offer?
Key Highlights
IIT Jammu PG Certificate upon successful completion
Build 10+ deployed AI applications with live URLs
5 production case studies and analysis reports
1 flagship capstone project with live infrastructure
7-month intensive program with 18 credits
Optional campus immersion at IIT Jammu
2-week bridge course included (worth ₹29,000)
30+ industry-grade tools across full AI stack
Live online instruction with 15-20 hours per week
Career support via Futurense Leadership Council
Interested in career outcomes and specializations?
Who is this programme for?
Final-Year Students (B.Tech / B.E. in last year entering AI roles)
Early-Career Professionals (0–3 years) moving into LLM/RAG development
Mid-Career Professionals (3+ years) specializing in AI systems and deployment
Software Engineers and Backend Developers upskilling to AI-native roles
ML Engineers and Data Professionals building production systems
DevOps/MLOps Engineers transitioning into AIOps and AI reliability
Product Managers and Business Analysts moving into AI product roles
Minimum Eligibility
B.Tech / B.E. / BCA / M.Sc. / MCA or equivalent with minimum 50% aggregate
Engineering, computer science, or related technical discipline
Python proficiency required
Familiarity with AI tools such as ChatGPT or Claude
Prepared for hands-on, project-intensive learning
Must pass a Short Qualifying Test (MCQ-based, 35 questions, 90 minutes)
Not sure whether you qualify for this programme?
Who is the programme for?
The program follows a structured admission process designed to ensure learners are technically prepared. Eligible candidates must hold a B.Tech / B.E. / BCA / M.Sc. / MCA (or equivalent) with at least 50% aggregate from an engineering, computer science, or related discipline. Python proficiency and familiarity with AI tools like ChatGPT or Claude are expected. The selection process involves submitting an application online via the Futurense portal, followed by a mandatory Short Qualifying Test — a 90-minute MCQ exam with 35 questions across four sections: Logical Reasoning, Data Literacy and Interpretation, AI/LLM/RAG Awareness, and Python Programming Basics. Candidates must score at least 40% overall to proceed. There is no negative marking. Upon passing, learners confirm their seat by completing payment. An application fee of ₹5,000 (non-refundable) is payable to Futurense at the time of application.
Selection process
How to apply?
Curriculum
The curriculum is structured into six core modules plus a capstone project, spanning 7 months and 18 credits. Module 1 (Agent Foundations) covers agent architectures including ReAct and Plan-Execute, tool calling, memory systems, and prompt engineering, with hands-on builds using n8n, and production agents like Research Assistants and Email Triage Agents. Module 2 (Agentic RAG and Intelligent Retrieval) covers Self-RAG, corrective RAG, query routing, chunking optimization, and multi-source pipelines, producing systems like HR Policy Assistants and Legal Document Analyzers. Module 3 (Multi-Agent Orchestration) introduces LangGraph state machines, role-based agent teams, task delegation, and shared memory, with builds including Content Generation Crews and Lead Qualification Systems. Module 4 (Advanced Agent Application Patterns) addresses guardrails, validation layers, error handling, human-in-the-loop design, and escalation logic for enterprise systems. Module 5 (AIOps Fundamentals) covers observability with OpenTelemetry, AI-powered log analysis, anomaly detection, and incident automation. Module 6 (Production Deployment) addresses containerization, cloud deployment, rate limiting, cost optimization, and CI/CD pipelines. The Capstone Project integrates all modules into a full-stack agentic AI system deployed with live infrastructure.
There are 7 semesters in this course
The 7-month program progresses through six core modules and a capstone. Months 1-2 focus on Agent Foundations — no-code agent design using n8n and Flowise, agent architectures, memory systems, and tool calling. Real agents are built and deployed from week one. Months 3-4 cover Agentic RAG and Multi-Agent Orchestration, moving through Self-RAG, corrective RAG, hybrid retrieval, LangGraph state machines, CrewAI-based role teams, task delegation, and shared memory patterns, producing systems like Legal Document Analyzers and Lead Qualification workflows. Month 5 introduces AIOps Fundamentals: observability with Prometheus, Grafana, Loki, and OpenTelemetry; AI-powered log analysis; anomaly detection; and incident automation. Months 6-7 cover Production Deployment and the Capstone — containerization with Docker, CI/CD pipelines using GitHub Actions, cloud deployment on Railway and Render, cost tracking, and the flagship end-to-end capstone integrating multi-agent systems, RAG, and AIOps with live infrastructure. Bridge Course (2 weeks, worth ₹29,000) is provided before the main program covering Programming Foundations, GenAI and Prompt Engineering, Databases with MySQL, and Cloud Foundations.
Module 1: Agent Foundations (No-Code First)
Module 2: Agentic RAG & Intelligent Retrieval
Module 3: Multi-Agent Orchestration
Module 4: Advanced Agent Application Patterns
Module 5: AIOps Fundamentals
Module 6: Production Deployment for AI Systems
Capstone Project
Programme Length
7 months (approximately 28-30 weeks). Optional 2-week bridge course precedes the main program. Campus immersion available (duration subject to IIT Jammu schedule). Weekly commitment: 15-20 hours including live sessions, self-study, and project work. Minimum 75% attendance required for certification.
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
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.
Tuition Fee
The total program fee is ₹84,000 + 18% GST, covering live online instruction, hands-on projects, evaluations, and certification. An application fee of ₹5,000 (non-refundable) is payable to Futurense at the time of application. Optional campus immersion fees are payable directly to IIT Jammu (I3C) and are subject to actuals; travel, boarding, and lodging during immersion are borne by the participant. Flexible EMI options are available through financial partners. Self-funding with flexible payment schedules is also available. For loan-based financing, documents required include PAN Card, Aadhaar Card, and last 3 months' bank statements. Refund policy details are available in the official admissions terms and conditions.
Fee Structure
Payment options
Need help understanding fees, EMI options, or scholarships?
Learning Experience
This program employs a system-first, production-oriented learning methodology delivered entirely online through live classes. Participants spend 15-20 hours per week across live instruction, guided labs, self-study, and project work. Learning progresses from no-code platforms (n8n, Flowise) to code-first frameworks (LangGraph, CrewAI, AutoGen), and culminates in full production deployments. Each module includes a build component where learners create real-world systems — not simulations or toy demos. The Futurense AI Clinic provides structured project infrastructure, enabling learners to work on enterprise-grade problem statements involving agent orchestration, intelligent automation, observability, and system reliability. Live mentorship, mock interviews, and industry expert sessions through the Futurense Leadership Council supplement the technical curriculum. A 2-week bridge course ensures all learners are course-ready regardless of prior AI background.
University Experience
IIT Jammu (Indian Institute of Technology Jammu), established in 2016, is one of India's fastest-growing IITs with a strong emphasis on innovation, research, and industry collaboration. The Institute Incubation and Innovation Council (I3C) is IIT Jammu's Section-8 not-for-profit organization that enables agile, industry-aligned certification programs. Through I3C, IIT Jammu delivers professional education designed for real-world impact. Participants in this program benefit from an optional campus immersion at IIT Jammu, enabling direct interaction with faculty and peers. The program also offers an IIT Jammu-issued PG Certificate, institutional email access (subject to program terms), and association with a prestigious IIT brand recognized across industries. The Futurense Leadership Council — comprising CXOs, AI leaders, and digital transformation heads from global and Fortune 500 companies — adds significant industry credibility and networking value to the IIT institutional foundation.
Word from the Directors
Prof. Suman Banerjee
Assistant Professor, IIT Jammu — Program Director
Prof. Suman Banerjee is a faculty member and researcher in Computer Science at IIT Jammu, specializing in algorithms, graph-based systems, and data-centric computing. As Program Director, he shapes a curriculum that is conceptually rigorous and aligned with real-world computational challenges, bridging theory with practical system-building.
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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
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.
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:
30th Jun, 2026
Application Deadline:
15th 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.