PG Certificate in AI Agent Workflows – IIT Madras
This PG Certificate in AI Agent Workflows, offered by IITM Pravartak Technologies Foundation (IIT Madras), is a 7-month intensive program designed for working professionals seeking to design, orchestrate, and deploy enterprise-grade multi-agent AI systems. Covering deep learning, NLP, large language models, context engineering, and multi-agent system (MAS) design, learners gain hands-on expertise with 30+ tools including LangChain, CrewAI, AutoGen, Zapier, and GPT-4 plugins.\n\nThe program follows a workflow-first philosophy, moving participants beyond building individual agents to architecting scalable agentic systems integrated with real business environments—APIs, CRMs, ERPs, and databases. Human-in-the-Loop governance, trust protocols, and continuous feedback loop design are embedded throughout the curriculum, ensuring production-readiness.\n\nFaculty from IIT Madras's School of Data Science and AI lead weekend live sessions, supplemented by mentorship from the Futurense Leadership Council comprising industry leaders from Google, Spotify, Schneider Electric, and more. An optional 3-day on-campus immersion at IITM Pravartak concludes the program. Graduates are equipped for roles such as AI Workflow Engineer, LangChain Developer, Multi-Agent Workflow Architect, and AI Product Manager.
₹ 1,25,000
Overview
This Advanced Engineering Program in AI Agent Workflows and Agentic Systems Development, offered by IITM Pravartak Technologies Foundation — the Technology Innovation Hub of IIT Madras — is a rigorous 7-month program designed to transform working professionals into workflow-first AI leaders. Rather than focusing on individual agent construction, the program emphasizes end-to-end orchestration of enterprise-ready multi-agent systems, context engineering, human-in-the-loop governance, and seamless integration with business infrastructure.
Founded under the Department of Science and Technology, Government of India, IITM Pravartak sits at the intersection of academia, research, and industry within the IIT Madras Research Park ecosystem. The program is co-delivered with Futurense, whose Leadership Council brings guidance from senior AI and analytics executives across Google, Spotify, Schneider Electric, Microsoft, and other global enterprises. Participants engage through weekend live sessions, hands-on labs, and multi-agent simulations, culminating in a capstone agentic workflow project reviewed by IITM faculty and industry mentors. An optional 3-day campus immersion at IITM Pravartak provides direct access to cutting-edge labs and research facilities.
Why Technology & Analytics?
This program stands apart by adopting a workflow-first philosophy — training participants not just to build agents, but to design systems where agents collaborate, govern themselves, and deliver measurable enterprise outcomes. With direct mentorship from IIT Madras faculty (Professors Balaji Srinivasan, Ganapathy Krishnamurthi, and Kushal Shah) and the Futurense Leadership Council of 50+ industry leaders, learners gain unmatched academic and professional guidance.
The curriculum spans 17 structured modules covering the full agentic AI stack — from deep learning foundations to advanced multi-agent orchestration — with hands-on exposure to 30+ enterprise tools including LangChain, CrewAI, AutoGen, GPT-4, Claude, Zapier, and Guardrails. Unlike standard AI agent courses that focus on demos and sandboxes, this program builds enterprise-grade, production-ready workflows integrated with real business systems (APIs, CRMs, ERPs). A capstone project, AI Clinic sessions, weekly sprints, and career support from day one make this a comprehensive pathway to high-demand AI leadership roles.
What does this course have to offer?
Key Highlights
IIT Madras institute certification (IITM Pravartak CoE)
Workflow-first curriculum covering 17 modules across 7 months
Hands-on with 30+ enterprise tools: LangChain, CrewAI, AutoGen, GPT-4, Zapier, Guardrails, and more
Weekend live sessions by IIT Madras faculty and Futurense Leadership Council mentors
Optional 3-day on-campus immersion at IITM Pravartak (Chennai)
140+ hours of structured learning content
Capstone project: design and deploy an enterprise-ready agentic workflow
AI Clinic: weekly sprints, live RFP challenges, and expert feedback sessions
Career support: resume workshops, mock interviews, Breakfast Club meetups, and portfolio building
18 course credits awarded upon completion
EMI options available via NBFC partners (Propelld, Avanse, Northern ARC)
Who is this programme for?
Product Managers and Program Managers integrating AI into business-critical workflows
Software Engineers and Developers transitioning into agentic AI development
Solution Architects and Enterprise Architects designing AI-enabled business systems
Data Scientists, ML Engineers, and AI Developers moving from prototypes to production-ready workflows
Automation and Process Excellence Professionals re-engineering processes with multi-agent systems
Business Analysts bridging requirements, workflows, and agent capabilities
Exceptional fresh graduates with strong Python programming and AI aptitude
Minimum Eligibility
Bachelor's degree (minimum 3 years) in Computer Science, IT, Engineering, Mathematics, or related field
MCA / M.Sc / M.Tech candidates with technology, analytics, or systems exposure are eligible
Minimum 1 year of work experience in product management, software development, data science, ML engineering, automation, or consulting
Exceptional fresh graduates with strong programming skills may be considered via screening
Familiarity with programming (Python preferred), AI concepts, APIs, and data-driven systems
Not sure whether you qualify for this programme?
Admission Overview
Admission to this program is competitive and requires meeting academic eligibility criteria, completing a pre-screening test, and submitting required documents. Applicants must hold a Bachelor's degree (minimum 3 years) in Computer Science, IT, Engineering, Mathematics, or a related field; MCA, M.Sc, or M.Tech candidates with technology or analytics exposure are also eligible. A minimum of 1 year of relevant work experience in software development, product management, data science, ML engineering, automation, or consulting is required. Exceptional fresh graduates with strong programming aptitude may be considered via special screening.
The admission process begins with submitting an online application form and a non-refundable application deposit of ₹5,000 (adjusted against the final fee). Applicants then appear for a pre-screening test assessing Python programming, logical reasoning, and AI/workflow readiness. Profiles meeting the criteria receive an offer letter, and enrollment is confirmed upon full fee payment within 5 days. The program commences with a sponsored AI and Workflow Bridge Course covering Python essentials, agent fundamentals, and workflow basics before the main curriculum begins.
Selection process
How to apply?
Curriculum
The curriculum spans 17 modules delivered over 7 months (140+ hours) through weekend live sessions, hands-on labs, and multi-agent workflow simulations. The program is structured to take learners from deep learning and NLP fundamentals all the way through advanced multi-agent orchestration and enterprise deployment.
Module 1 establishes deep learning and neural network foundations, covering backpropagation, activation functions, and hyperparameter tuning. Module 2 addresses NLP techniques including tokenization, word embeddings (Word2Vec, GloVe), and generative AI (GANs, VAEs). Module 3 introduces Large Language Models — transformers, attention mechanisms, pre-training, and fine-tuning across GPT, BERT, and T5. Module 4 transitions from AI models to AI agents, covering agent design using neural networks and LLMs, contextual decision-making, and agent frameworks.
Modules 5–7 cover systems thinking, workflow design, and multi-agent system (MAS) architectures — hierarchical, manager-worker, peer-to-peer, blackboard, and hybrid human-agent models. Modules 8–10 go deep into context management, multi-agent coordination, task delegation, and workflow optimization for scalability. Modules 11–14 focus on prototyping, real-world tool integration, dynamic context injection, and business-driven automation using multiple agents. Modules 15–17 address real-time monitoring, enterprise integration (ERP/CRM), and advanced context engineering for large-scale, adaptive workflows.
There are 16 semesters in this course
The program spans 17 modules delivered over 7 months, covering deep learning fundamentals through enterprise-grade multi-agent system deployment. Module 1 addresses deep learning and NLP foundations. Modules 2 and 3 explore generative AI and large language models. Module 4 bridges AI models to AI agents. Modules 5 through 7 cover systems thinking, workflow design, and multi-agent system architectures including hierarchical, peer-to-peer, and hybrid human-agent patterns. Modules 8 and 9 examine context management and multi-agent coordination. Modules 10 through 12 focus on scalability, prototyping, and real-world tool integration with LangChain, Zapier, and external APIs. Modules 13 and 14 address dynamic context injection and business-driven multi-agent automation. Modules 15 and 16 cover real-time monitoring, debugging, and enterprise ERP/CRM integration. Module 17 provides an advanced deep dive into context engineering for complex, adaptive systems at scale.
Module 1: Essential AI Literacy
Module 2: Large Language Models & Their Applications
Module 3: Transitioning from AI Models to AI Agents
Module 4: Systems Thinking for Multi‑Agent Workflows
Module 5: Human‑First Prototyping & Service Blueprints
Module 6: Agent Collaboration Topologies
Module 7: Contextual Reasoning for Multi-Agent Systems
Module 8: Multi-Agent Planning & Workflow Design
Module 9: Workflow Design & Optimization
Module 10: Prototyping Multi-Agent Systems
Module 11: Real-World Tools for Agentic Workflows
Module 12: Contextual Input & Output Management
Module 13: Transforming Business Processes with Multi-Agent Systems
Module 14: Monitoring & Managing Agent Systems
Module 15: Enterprise Integration with Multi-Agent Workflows
Module 16: Advanced Context Engineering
Programme Length
7 months, 140+ hours, Weekend live sessions, Optional 3-day on-campus immersion at IITM Pravartak
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.
Tuition Fee
The total program fee is ₹1,25,000 + 18% GST, payable upon receiving the offer letter. A non-refundable application deposit of ₹5,000 is required at the time of application and is adjusted against the final fee. Full fee payment must be completed within 5 days of receiving the offer letter. For candidates requiring financial assistance, Futurense has partnered with multiple NBFC partners including Propelld, Avanse, and Northern ARC to offer low-cost EMI options. EMI tenures of 6, 9, 12, and 24 months are available. Interest rates vary by repayment plan and financial partner. Loan documentation requires PAN, Aadhaar, last 3 months' bank statements, and last 3 months' payslips. Self-funding, either partial or full, is also an option.
Fee Structure
Payment options
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About the University
Established under the National Mission on Interdisciplinary Cyber-Physical Systems, IITM Pravartak Technology Innovation Hub is hosted by the Indian Institute of Technology Madras. The hub focuses on advancing research and development in the areas of Sensors, Networking, Actuators, and Control Systems (SNACS). It aims to foster collaboration among academia, industry, and government to create innovative solutions for societal challenges.
170
Total Projects
10+
Research Areas
31
Publications
Affiliation & Recognition
Affiliation & Recognition
Career services
The hub offers career development opportunities through partnerships with industry leaders and startups. It provides training programs aimed at equipping students with industry-ready skills in areas such as AI, machine learning, cybersecurity, and embedded systems. The hub also facilitates internships and project opportunities for students to gain practical experience.
1083
Skill Development Sessions
928
Job Opportunities Created
₹ 1,25,000
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.