Application Closes In:
Days
Hours
Minutes
Sec
PG Certificate in Building Professional Agentic AI with AIOps
Design, Deploy, and Operate AI Agents that Actually Work in Production
Start Date
20th April, 2026 (Tentative)
Duration
7 months
Course Fee
₹84,000 + 18% GST
No. of Seats Left
34
Credits
18
Program Highlights
Build production-ready agentic AI applications, not demos
Graduate with 10+ deployed AI applications and a flagship capstone project.
Learn end-to-end agentic AI, RAG, deployment, and AIOps
Work with 30+ industry-grade tools used by 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
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.
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: Agent Foundations (No-Code First)
Module 1: Agent Foundations (No-Code First)
Agent architectures (ReAct, Plan–Execute), tool calling, memory systems & prompt engineering
Workflow design using n8n, prompt structuring, API & tool integrations
Build production-ready agents: Research Assistant, Email Triage Agent, Meeting Scheduler, Customer FAQ Bot
Module 2: Agentic RAG & Intelligent Retrieval
Module 2: Agentic RAG & Intelligent Retrieval
Self-RAG, corrective RAG, query routing & hybrid retrieval strategies
Chunking optimization, reranking, and multi-source document pipelines
Build real-world systems: HR Policy Assistant (100+ docs), Legal Document Analyzer, Internal Knowledge Base
Module 3: Multi-Agent Orchestration
Module 3: Multi-Agent Orchestration
Role-based agent teams, LangGraph state machines & supervision architectures
Task delegation, shared memory & agent communication protocols
Build multi-agent systems: Content Generation Crew (4 agents), Lead Qualification System, Research Team, Document Processing Pipeline
Module 4: Advanced Agent Application Patterns
Module 4: Advanced Agent Application Patterns
Guardrails, validation layers, error handling & human-in-the-loop design
Confidence thresholds, escalation logic & fallback mechanisms
Build enterprise systems: Support Agent with Escalation, Approval Workflows, Quality Control Pipelines, Secure Agent Architectures
Module 5: AIOps Fundamentals
Module 5: AIOps Fundamentals
Observability with metrics, logs & traces using OpenTelemetry
AI-powered log analysis, anomaly detection & incident automation
Build operational systems: Monitoring Dashboards, Log Analysis Agent, Incident Response System, System Health Reporter
Module 6: Production Deployment for AI Systems
Module 6: Production Deployment for AI Systems
Containerization, cloud deployment, rate limiting & cost optimization
CI/CD pipelines for AI applications with monitoring & tracing
Build production assets: Agent APIs, Monitoring Dashboards, CI/CD Pipelines, Cost Tracking Systems
Capstone Project
Capstone Project
End-to-end AI system architecture & technical documentation
Full system integration, testing & production deployment
Deliver a flagship project combining Multi-Agent Systems + RAG + AIOps, deployed with live infrastructure
Your Portfolio at the End of the Program
10+ Applications With live URLs
5 Case Studies Production analysis
1 Flagship Capstone Portfolio centerpiece
Futurense AI Clinic
Through the Futurense AI Clinic, you don’t just study Agentic AI and AIOps concepts; you build, deploy, monitor, and operate Agentic AI systems the way production teams do.
Build Production-Grade Agentic Systems
Work on real-world problem statements involving agent orchestration, intelligent automation, observability, incident response, and system reliability, not demos or simulations.
Live, Deployed AIOps Applications
Design and deploy 10+ agentic applications, including monitoring dashboards, log analysis agents, incident automation systems, and production APIs with live URLs.
Enterprise AIOps & Observability Stack
Gain hands-on experience with industry-used tools such as Prometheus, Grafana, Loki, OpenTelemetry, LangSmith, CI/CD pipelines, and cloud deployment platforms.
End-to-End System Ownership
Learn to take agentic systems from workflow design → orchestration → deployment → monitoring → auto-remediation → cost and performance optimization in 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
This is a Multiple Choice Question (MCQ) based examination
The exam consists of 4 sections with a total of 35 questions.
You can answer any section in any order. There is no sectional time limit.
Sectional pass cutoff: You must score at least 40% in total across all sections
Each question has only ONE correct answer.
There is no negative marking for incorrect answers.
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
Software Engineer
Salary
₹5-10 LPA
Role Upgraded
AI Application Developer
Earning Potential
₹12-45+ LPA
Role Now
Backend Developer
Salary
₹6-12 LPA
Role Upgraded
Agentic AI Developer
Earning Potential
₹15-50+ LPA
Role Now
Automation Engineer
Salary
₹5-9 LPA
Role Upgraded
AI Automation Engineer
Earning Potential
₹10-35+ LPA
Role Now
Full-Stack Developer
Salary
₹6-12 LPA
Role Upgraded
AI Solutions Engineer
Earning Potential
₹18-55+ LPA
Role Now
API / Search Engineer
Salary
₹6-10 LPA
Role Upgraded
RAG Implementation Engineer
Earning Potential
₹12-30+ LPA
Role Now
Knowledge Engineer
Salary
₹5-9 LPA
Role Upgraded
Enterprise RAG Engineer
Earning Potential
₹18-45+ LPA
Role Now
Data Engineer
Salary
₹8-15 LPA
Role Upgraded
Agentic RAG Systems Engineer
Earning Potential
₹20-50+ LPA
Role Now
Platform Engineer
Salary
₹8-15 LPA
Role Upgraded
GenAI Solutions Engineer
Earning Potential
₹18-55+ LPA
Role Now
DevOps Engineer
Salary
₹6-12 LPA
Role Upgraded
AIOps Engineer
Earning Potential
₹18-60+ LPA
Role Now
MLOps Engineer
Salary
₹10-18 LPA
Role Upgraded
AI Systems Engineer
Earning Potential
₹18-60+ LPA
Role Now
SRE
Salary
₹12-20 LPA
Role Upgraded
AI Systems Reliability Engineer
Earning Potential
₹25-60+ LPA
Role Now
Cloud Engineer
Salary
₹7-14 LPA
Role Upgraded
AI Infrastructure Engineer
Earning Potential
₹20-45+ LPA
Role Now
QA / Automation Tester
Salary
₹4-8 LPA
Role Upgraded
AI Workflow Engineer
Earning Potential
₹18-40+ LPA
Role Now
Application Support Engineer
Salary
₹4-7 LPA
Role Upgraded
Production AI Engineer
Earning Potential
₹15-35+ LPA
Role Now
Technical Operations Engineer
Salary
₹5-9 LPA
Role Upgraded
AI Operations Engineer
Earning Potential
₹15-40+ LPA
Role Now
Monitoring / NOC Engineer
Salary
₹4-7 LPA
Role Upgraded
AIOps Monitoring Specialist
Earning Potential
₹12-30+ 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
Operations Manager
Salary
₹8-15 LPA
Role Upgraded
AI Automation & Systems Lead
Earning Potential
₹18-45+ LPA
Role Now
Domain SME (Finance / Ops / IT)
Salary
₹8-15 LPA
Role Upgraded
AI Systems 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 AgenticAI and AIOps.
3
Confirm Your Seat
Block your seat by completing the enrollment process and payment.
Traditional AI / ML Program vs. Agentic AI Applications with AIOps Program
Dimension
This Programme
Other Programme
Focus
Agentic AI applications, intelligent automation, and AIOps-driven reliability
Model-centric AI/ML concepts and algorithms
Outcome
Build, deploy, monitor, and operate agentic AI systems in production
Understand AI/ML theory and isolated model development
Curriculum
End-to-end stack: agents, agentic RAG, AIOps, deployment, observability
Disconnected ML, DL, or NLP modules
Agentic Systems
Deep focus on agent orchestration, workflows, memory, and tool usage
Limited or no exposure to agent-based systems
AIOps & Reliability
Observability, anomaly detection, incident automation, and auto-remediation
Little to no focus on monitoring or system reliability
Deployment Exposure
Production APIs, CI/CD pipelines, containerization, and cloud deployment
Minimal exposure to real production environments
Learning Style
Hands-on, system-first learning with live, deployed applications
Theory-heavy learning with assignments and exams
Tools & Stack
Industry-grade tools: n8n, Flowise, CrewAI, LangGraph, Prometheus, Grafana, Docker
Academic tools or limited GenAI exposure
Proof of Skill
10+ live agentic applications, case studies, and production capstone
Static projects or academic grades
Industry Readiness
Designed for roles in Agentic AI, AIOps, automation, and AI operations
Requires significant on-the-job upskilling
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 Engineer Reliable, Scalable AI Systems?
Build, monitor, and automate AI systems trusted by real teams.
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 is titled PG Certificate in Building Professional Agentic AI Applications with AIOps. It is offered by IIT Jammu through I3C–IIT Jammu, in collaboration with Futurense.
What is the duration of the program, and when does it begin?
The duration of this AIOps program is 7 months.
The next cohort is expected to begin in April 2026 (Tentative).
How can I apply for the PG Certificate in Building Professional Agentic AI Applications with AIOps?
Candidates can apply through the official Futurense admissions portal by submitting their application online along with their academic and professional details.
When does the application process for the PG Certificate in Building Professional Agentic AI Applications with AIOps begin?
The application process for the program has already begun, and seats are filling fast.
Who should apply for this program?
The program is open to:
1. Final Year Students: B.Tech / B.E. / BCA / MCA students looking to enter the market with high-demand AI skills.
2. Early Career Professionals (0–3 Years): Individuals transitioning into AI development roles.
3. Mid-Career Professionals (3+ Years): Professionals looking to lead AI initiatives in their organizations.
4. Adjacent Professionals: Product managers or analysts with some development exposure.
What are the prerequisites for attending this IIT Jammu certification course?
1. Academic: B.Tech / B.E. / BCA / M.Sc. / MCA with a minimum of 50% aggregate.
2. Technical: Basic understanding of application development or some programming exposure.
3. User Level: Familiarity with AI tools like ChatGPT or Claude.
Is there an admission test?
Yes. The selection process includes an online Qualifying Test.
Is there a qualifier test, and what does it cover?
Yes, a pre-screening/qualifier test is mandatory to assess technical readiness. Topics include:
1. Logical Reasoning
2. Application Building Logic through Flowcharts
3. AI, LLM & RAG Awareness
4. Python Programming for Development
What are the steps in the application process?
1. Application: Submit your academic and professional details online.
2. Screening: Profile review for eligibility.
3. Qualifying Test: Appear for the entrance assessment.
4. Enrollment: Secure your seat with an application processing fee.
5. Offer: Receive an official admission confirmation.
Our dedicated support team will be guiding you through each step of the process for an effortless experience.
What documents are typically required for the application?
1. Identity Proof: Aadhaar Card and PAN Card
2. Proof of Date of Birth
3. Academic Records:
a. 10th Marksheet
b. 12th Marksheet
c. Graduation marksheets / degree certificate or latest semester transcripts
4. Professional Documents:
a. Updated Resume (CV)
b. Employment verification (if applicable)
What is the medium of instruction?
The medium of instruction for all lectures, labs, and course materials is delivered through a 100% online model in English.
Will a bridge course be provided for candidates who need to refresh basic fundamentals?
Yes. A bridge course is provided to strengthen foundational knowledge. Modules include:
1. Programming Foundations
2. GenAI, Agentic AI & Prompt Engineering
3. Databases with MySQL
4. Cloud Foundations
Is there a campus immersion component?
Yes. The program includes an optional campus immersion at IIT Jammu, allowing participants to interact with faculty and peers in person.
Is campus immersion mandatory?
No. The campus immersion is optional and intended as an additional networking and academic experience.
What is the weekly time commitment?
Participants should expect to spend 15–20 hours per week, including live online sessions, self-study, and project work.
What are the attendance and completion criteria?
Participants must maintain at least 75% attendance and complete all required projects to receive the certificate.
How is this program different from traditional AI courses?
While many programs focus on predictive models or theory, this program emphasizes hands-on knowledge of Agentic AI, enabling learners to build systems that take action rather than simply generate responses.
Learners progress from No-Code platforms (n8n, Flowise) to production-grade systems using AIOps, Docker, and Kubernetes, building 10+ real-world applications with live URLs.
What will my journey look like?
1. Months 1–2: Foundations & First Apps
Learn agent architectures and build initial bots using No-Code tools.
2. Months 3–4: Multi-Agent Systems
Work with frameworks like CrewAI and LangGraph to orchestrate multi-agent systems.
3. Month 5: AIOps & Automation
Focus on observability and system health using tools such as Prometheus and Grafana.
4. Months 6–7: Production & Capstone
Deploy applications using Docker and CI/CD pipelines and complete the capstone project.
What tools and technologies will I master in this program?
The program covers 30+ industry-grade tools across the AI development stack, including:
1. No-Code Platforms: n8n, Flowise, Relevance AI, Voiceflow, Botpress
2. Agent Frameworks: CrewAI, LangGraph, AutoGen, Agency Swarm, Smolagents
3. RAG & Vector Databases: LlamaIndex, ChromaDB, Pinecone, Qdrant, Cohere Rerank
4. LLM Providers: OpenAI GPT-4, Claude, Gemini, Mistral, Groq, Ollama
5. AIOps Stack: Prometheus, Grafana, Loki, OpenTelemetry, LangSmith
6. Deployment Tools: Docker, FastAPI, Railway, Render, GitHub Actions
What projects will I work on?
Participants will build 10+ AI applications, including:
1. Customer support automation agents
2. Research assistants
3. Complex workflow orchestration systems
4. Production-ready AI applications with live URLs
What are the career outcomes I can expect after completing this program?
Portfolio Growth: Build a portfolio of 10+ applications with live URLs.
1. Salary Potential: Entry-level roles typically range from ₹8–12 LPA, while mid-to-senior roles can exceed ₹20–30+ LPA depending on experience.
2. Industry Support: Career support from Futurense, including resume workshops, LinkedIn branding, and interview preparation. This also includes access to the Futurense Leadership Council, where you will get direct guidance from industry experts from Fortune-500 companies.
3. Potential roles include: a. AI Application Developer
b. AI Automation Engineer
c. GenAI Solutions Engineer
d. LLMOps Engineer
What are the potential career outcomes?
Graduates can transition into roles such as:
1. AI Application Developer (₹12–45+ LPA)
2. AI Automation Engineer (₹10–35+ LPA)
3. GenAI Solutions Engineer (₹18–55+ LPA)
4. LLMOps Engineer (₹18–60+ LPA)
What do I graduate with?
Upon successful completion, participants receive:
1. IIT Certificate issued by IIT Jammu in collaboration with I3C and Futurense
2. Portfolio of 10+ deployed AI applications
3. 5 case studies analyzing production AI systems
4. 1 deployed capstone project
What is the total fee for the program?
Program Fee: ₹84,000 + GST
Application Fee: ₹5,000
Optional Campus Immersion Fee: Approximately ₹10,000
Are there any financing options?
Yes. Flexible EMI options are available through financial partners.
Can I self-fund this program?
Yes. Candidates may self-fund the program partially or fully, with flexible payment schedules available.
What is the interest rate on the loans?
The interest rate depends on the financial institution providing the loan and is typically aligned with current market rates.
What are the documents I should keep handy to avail financing?
PAN Card
Aadhaar Card
Last 3 months bank statements
What is the refund policy?
Refund policy details are provided in the official admissions terms and conditions.
Who can I contact for further queries?
A dedicated program email ID will be provided for all academic and administrative queries.