Offered by IIT Madras Pravartak – A Technology Innovation Hub at IIT Madras
Advanced Certificate Program in Agentic AI Workflows and Agentic System Development
Orchestrate and scale strategies trusted by the enterprise AI teams
Start Date
Course Fee
Duration
Format
This Program Shapes Workflow-First AI Leaders
Build AI-integrated business processes with multi-agent orchestration and context engineering for accurate outputs.
Integrate AI agents with APIs, business systems, and maintain oversight through Human-in-the-Loop governance.
Gain practical expertise with 30+ tools like LangChain, Zapier, GPT-4 plugins, and develop a deployable capstone project.
Weekend sessions with IIT faculty and industry leaders, plus an optional
3-day campus immersion at IIT Madras Pravartak.
This Program Shapes Workflow-First AI Leaders!
The PG Certificate in Advanced Certificate Program in Agentic AI Workflows and Agentic System Development is designed to move you beyond building agents, into designing enterprise-ready workflows where they work. It’s more about mastering multi-agent orchestration, context engineering, and governance, as well as integrating agents seamlessly with real business systems.
About IIT Madras Pravartak
IIT Madras Pravartak Technologies Foundation is the Technology Innovation Hub of IIT Madras, established under the Department of Science and Technology, Government of India. Embedded within the IITMRP ecosystem, it combines IIT Madras’ renowned faculty, cutting-edge labs, and specialised research facilities to drive skilling, innovation, and incubation.
Working at the intersection of academia, research, and industry, IIT Madras Pravartak fosters the adoption of deep technology, nurtures next-generation talent, and enables real-world impact.
IIT Madras Faculty
The IIT Madras faculty is globally recognized for its groundbreaking research, innovation, and leadership in the fields of AI, product design, and management. As part of this program, you will have the privilege of learning directly from these esteemed professors who bring decades of academic and industry experience.
IIT Madras faculty members are at the forefront of technological advancements, contributing to both foundational research and the practical application of AI in product development. Their expertise spans a wide array of disciplines, from AI-powered systems to ethical AI frameworks, ensuring that your learning is aligned with the most cutting-edge industry practices.
By joining this program, you’ll gain insights and mentorship from these world-class professors who will guide you through an immersive, hands-on learning experience, enabling you to design, develop, and manage AI-infused products that are scalable, adaptive, and future-ready.
Traditional AI Agent Courses vs.
IIT Madras Pravartak: AI Agent Workflows & Agentic AI Systems
How you go from Learning to orchestrating enterprise-grade multi-agent workflows in just 7 months!
Module 1: Building Foundations for AI Agents with Deep Learning & NLP
- Overview of Deep Learning and Neural Networks
- Structure of neural networks and backpropagation
- Key activation functions (ReLU, Sigmoid, Tanh)
- Training neural networks and hyperparameter tuning
- Introduction to NLP and its connection with AI agents
Module 2: Exploring NLP & Generative AI for Complex Problem Solving
- NLP techniques: tokenization, stemming, lemmatization, TF-IDF
- Word embeddings: Word2Vec, GloVe- Generative AI: GANs, VAEs
- Applications of generative models in content creation (text, art, music)
- Introduction to transformers and GPT
Module 3: Leveraging Large Language Models (LLMs) for AI Agents
- Introduction to Large Language Models (LLMs)
- Transformer architecture and attention mechanisms
- Pre-training and fine-tuning LLMs
- Use cases: GPT, BERT, T5, and more
- LLMs vs. traditional rule-based systems
Module 4: Transitioning from AI Models to AI Agents with Deep Learning and LLMs
- Understanding AI agents and their evolution- Key differences between AI models and agents
- Using neural networks and LLMs in agent design
- Contextual decision-making for agents
- AI agent frameworks and tools
Module 5: System Thinking FoundationProduct Design
- Holistic analysis of interconnected workflows
- Identifying feedback loops
- Mapping dependencies; Emergent behavior in MAS
- Balancing optimization across subsystems
Module 6: Designing Workflows and Systems for Agents
- Problem immersion; Journey mapping (As‑Is → To‑Be)
- Leverage point discovery
- KPI & guardrail definition
- Service blueprint creation
Module 7: MAS Design
- Hierarchical
- Manager‑worker
- Peer‑to‑peer
- Blackboard
- Contract‑net
- Debate/hybrid human‑agent
Module 8: Exploring Context Management in Multi-Agent Systems
- Understanding context in AI workflows
- Passing context between agents
- Context engineering for task completion
- Designing inputs/outputs for multi-agent workflows.
Module 9: Designing and Coordinating Multi-Agent Systems
- Multi-agent system architecture
- Agent coordination and task delegation
- Message passing between agents
- Defining agent roles within workflows.
Module 10: Optimizing Agent Workflows for Scalability and Efficiency
- Workflow design templates
- Task decomposition and agent interaction- Process mapping and optimization
- Designing scalable workflows for complex systems.
Module 11: Prototyping Multi-Agent Systems for Real-World Applications
- Design-first approach to multi-agent systems
- Integrating agent workflow design into prototyping
- Connecting agents within workflows to simulate real-world applications.
Module 12: Integrating Real-World Tools for Agentic Workflows
- Integrating real-world tools with agentic workflows
- Leveraging memory systems
- Using external APIs and data sources in multi-agent workflows
- Scaling workflows with advanced tools.
Module 13: Injecting Context into Agent Workflows for Dynamic Handling
- Integrating real-world tools with agentic workflo
- Dynamic input handling
- Context injection techniques for adaptive agent workflows
- Role-based prompts and task-specific agent communication.
Module 14: Integrating Real-World Tools for Agentic Workflows
- Business-driven multi-agent system automation
- Automating complex business workflows with multiple agents
- Ensuring smooth coordination and context passing.
Module 15: Monitoring and Managing Multi-Agent Systems in Real-Time
- Understanding real-time monitoring of multi-agent workflows
- Using logging and monitoring tools to track agent performance
- Debugging agent communication and task delegation errors.
Module 16: Integrating Multi-Agent Systems into Enterprise Workflows
- Integrating agent systems into business enterprise workflows
- Bridging agents with enterprise resource planning (ERP) and customer relationship management (CRM) systems.
Module 16: Advanced Context Engineering for Complex Systems
- Deep dive into context engineering for multi-agent systems
- Handling complex context switches in large-scale workflows
- Adaptive task handling.
By the End, You’ll Be Able to Do All This
While mastering 30+ Next-Gen Tools
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Welcome to the AI Agent Clinic
Where learners stop tinkering with agent demos… and start building enterprise-grade, workflow-first systems.
Solve Real Workflow Challenges
Design multi-agent systems and test governance protocols using real enterprise scenarios.
Orchestrate the Agentic Workflow Stack
Master 30+ tools like LangChain, Zapier, GPT-4, and APIs for real business applications.
Go Beyond the Curriculum
Join live clinics on multi-agent orchestration, prompt chaining, and feedback loop design.
Ship Workflow Iterations Weekly
Build, simulate, and test end-to-end workflows with iterative sprints.
Get Expert Feedback
Receive reviews from IITM Pravartak faculty, industry mentors, and Futurense leaders.
Break Systems, Learn Fast
Push multi-agent workflows to failure in labs, gaining real-world debugging and redesign experience.
Career Assistance That Doesn’t Stop at Mock Interviews
From Day 1 to your next role, we guide you at every step.
Diagnostic Test & Evaluations
Start with a test and multiple evaluations to sharpen product thinking and AI skills.
Live Industry Sessions
2-3 monthly Chai Talks, AI workshops, and career discussions with industry leaders.
Exclusive 1:1 Mentorship
Offered for top performers meeting benchmarks, includes personal mentorship and mock interview.
Futurense Breakfast Club
Weekly alumni meetups with case discussions and hiring lead exchanges.
Real Projects at AI Clinic
Work on live RFPs and challenges to build a strong industry-relevant portfolio.
Resume That Gets Shortlisted
Workshops & expert reviews focused on creating resumes tailored for leadership roles.
Mock Interviews & Feedback
Simulated interviews with actionable performance feedback.
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Built for People Like You?
Educational Qualification
Bachelor’s degree (minimum 3 years) in Computer Science, IT, Engineering, Mathematics, or a related fields.
MCA / M.Sc / M.Tech candidates with exposure to technology, analytics, or systems are also eligible.
Work Experience
Minimum 1 year of experience in product management, software development, enterprise/solution architecture, data science, ML engineering, automation & process excellence, or consulting.
Freshers
Exceptional fresh graduates with strong programming skills and aptitude for AI workflows may be considered via screening.
Prior Knowledge
Familiarity with programming (Python preferred), AI concepts, APIs, and data-driven systems.
Selection Process
Clear a pre-screen exam testing programming fundamentals, logic, and workflow/AI readiness.
Ideal For
Product Managers & Program Managers
in AI, automation, or digital transformation projects who want to embed agents into business-critical workflows.
Software Engineers & Developers
looking to transition into agentic development.
Solution Architects & Enterprise Architects
designing AI-enabled business systems.
Data Scientists, ML Engineers & AI Developers
moving from prototypes to production-ready workflows.
Automation & Process Excellence Professionals
and Service Designers re-engineering processes with multi-agent systems.
Business Analysts
in AI-first projects, bridging requirements, workflows, and agent capabilities.
Qualifying Test
All applicants must clear a readiness test to qualify for the program. This test ensures each learner meets IIT Madras Pravartak’s academic and technical standards.
What You’ll Be Tested On
Logical Reasoning
Python Programming
AI & ML Concepts
Data Literacy & Interpretation
Important Guidelines
75 Minutes
Sectional cutoff for Areas to be tested.
No Sectional Cutoff for Time.
Students can answer any section in any order.
Roles Thatʼll Be
Looking for You
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Your Path to Becoming a Workflow-First AI Leader
Submit Your Application
Complete the online application form with your academic and professional details.
Application Review and Eligibility Criteria Approval
Your profile is evaluated to ensure you meet the educational and technical requirements.
Appear for the Qualifying Test
Take a short test designed to assess your programming familiarity, logic, and readiness for workflow-first AI.
Secure Your Seat
Confirm your enrolment with the application processing fee, fully adjustable against your program fee
Receive Your Offer Letter
Get official admission confirmation from IIT Madras Pravartak.
Begin the AI & Workflow Bridge Course
Start with a sponsored foundation module covering Python essentials, agent fundamentals, and workflow basics.
Start Your AI Agent Workflows Journey
Engage in weekend live sessions, hands-on labs, and multi-agent simulations with IIT Madras faculty and industry mentors.
Capstone & Showcase
Design and deploy an enterprise-ready agentic workflow project, reviewed by IIT faculty and Futurense Leadership Council mentors.
Fee Structure
*An additional ₹10,000 will be applicable if you opt for the Campus Immersion (Optional).
*Deserving candidates opting for the upfront payment plan may be eligible for a scholarship of up to ₹10,000.
*The amount varies depending on the chosen tenure.
Low-Cost EMI Options
3, 6 & 9 months available
NBFC Partners
Zero-cost EMI for eligible candidates
Payment Modes
UPI, Netbanking, Credit/Debit Cards
Your Mentors Are Shaping the Future of Agentic AI
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Ready to Redefine Product Innovation in the AI Era?
Whether you're stepping into product management or aiming for the next leadership role… if you're ready to launch and scale intelligent products that win in dynamic markets, this is your moment.
Frequesntly Asked Questions
What is the name of the certificate program, and which IIT offers it?
The program is called Advanced Certificate in AI Agent Workflows and Agentic Systems Developer,offered by IITM Pravartak Centre of Excellence (IITM Pravartak CoE)
What qualifications do I need to apply?
The duration is 7-9 months
First chohort begins on 4th October 2025.What are the eligibility criteria for this program, and who should ideally enroll?
This program is ideal for professionals with 0–1+ years of experience in Python development, backend engineering, ML workflows, or automation, who want to design, orchestrate, and deploy production-grade multi-agent systems using LLMs and toolchains like LangChain, CrewAI, and AutoGen.
How can I apply to the Pravartak Certificate in AI Agent Workflows and Agentic Systems Developer?
When will the application process to the program start?
The application process for Advanced Certificate, IIT Madrass Program has already begun.
What is the program's fee, and what financing options are available?
The program fee is ₹84,000 (inclusive of GST, tentative), The documents do not mention financing options.
Is there a selection process?
Yes. Admission to the program requires clearing a pre-screening exam and meeting the eligibility criteria
What are the documents to be submitted for application?
- Aadhar Card
- DOB (in correct format and as per Aadhar Card - DD/MM/YYYY)
- Resume
- Graduation Marksheet and Degree (cross-verified with scores entered in the application portal)
- 10th Marks (cross-verified)
- 12th Marks (cross-verified)
- Previous Experience Letter, Offer Letter, and Salary Slip
- NOC (mandatory for M.Tech applicants; self-declaration required for PGD applicants)
Will there be any pre-screen exams for enrolling in the Program?
Yes, there will be a pre screening exam
Should I have experience in coding to qualify the pre-screening exam?
Not mandatory program focuses on AI product strategy and management rather than deep coding
How is the teaching format structured for this hybrid program?
The program is delivered through along with a at the IIT Madras live online classes, 3-day immersion campus at the end of the program.
What if I can t take 3-day of leave at a stretch from my office for the Campus Immersion?
The campus immersion is at the end of the program, allowing advance planning
Will there be any additional cost for attending the optional 3-day CEC IIT Madras campus immersion?
Yes. The campus immersion cost is ₹10,000 per candidate per immersion.
Will hostel accommodation be provided for outstation candidates from different states during immersion?
Yes, accommodation will be arranged (subject to availability).
What are some practical projects or hands-on learning outcomes included in the course?
Capstone project designing a production-grade agentic AI workflow, prompt engineering exercises, tool integration labs, and autonomous workflow simulations
What are the key modules in the program, starting from traditional AI to building multi-agent systems?
- LLM Fundamentals & Prompt Engineering
- Context Engineering & Memory Management
- Multi-Agent System Design (LangChain, CrewAI, AutoGen)
- Tool Integration & API Connectivity
- Workflow Orchestration
- AI Evaluation & Guardrails
- Deployment & LLMOps
- Capstone Project
What is the significance of teaching multi-agent systems and agent collaboration in the program?
It allows learners to design scalable, autonomous AI solutions capable of performing complex, coordinated tasks across multiple systems.
Who is the program director, and why is their expertise significant?
How do industry leaders and the Futurense Leadership Council (FLC) contribute to the program?
Industry experts from Google, Microsoft, Infosys, Lenskart, AmEx, and more teach live sessions.
The Futurense Leadership Council offers:
- Masterclasses
- Mentorship
- Real-world MarTech case walkthroughs
50% of sessions are taught by industry faculty, ensuring applied learning
What areas of AI does this program cover, and how does it integrate traditional AI, generative AI, and agentic AI?
The program covers:
- Traditional AI: Covers ML workflows and automation principles
- Generative AI: Focus on LLM prompting, context engineering, and integration with AI toolchains.
- Agentic AI: Specialization in multi-agent orchestration, autonomous workflows, and AI system deployment.
What tools and platforms are covered in this program?
LangChain, CrewAI, AutoGen, Guardrails, OpenRouter, GPT-4, Claude, GitHub Copilot, VSCode, Promptfoo, PromptArmor.
Why is agentic AI called the next big thing in AI technology?
Because it enables autonomous, multi-agent systems that can make decisions, execute tasks, and learn from outcomes — driving automation beyond traditional AI capabilities.
What makes this certificate program particularly suitable for engineers and tech professionals?
It provides hands-on training in multi-agent orchestration, tool integration, and deployment, making it ideal for engineers looking to transition into AI systems design and automation roles
How does the program enable participants to specialize in their specific engineering domains?
By providing modular training and toolkits that can be adapted for different domains like fintech, e-commerce, SaaS, and manufacturing
What is the difference between traditional AI, generative AI, and agentic AI?
- Traditional AI: Uses structured data for fixed tasks.
- Generative AI: Creates text, images, code (e.g., ChatGPT, Claude)
- Agentic AI: Autonomous agents that make decisions, adapt, and operate independently.
How are agentic AI systems used across industries like healthcare, manufacturing, and telecom?
- Healthcare: Automates diagnosis and treatment recommendations.
- Manufacturing: Enables process optimization and predictive maintenance.
- Telecom: Powers AI-driven customer support and network optimization.
What job roles can participants expect to pursue after completing this program?
- AI Agent Workflow Engineer
- Agentic AI Systems Developer
- LLM Application Developer
- AI Automation Engineer
- AI Integration Specialist
How does having skills in generative AI and agentic AI impact salary and job prospects?
It positions professionals for high-demand, specialized AI roles with significantly higher earning potential compared to general AI roles.
How does this program align with the rapid adoption of generative AI by companies like Infosys, TCS, and startups?
It trains participants in building enterprise-ready, autonomous AI systems — matching the industry trend of setting up GenAI and agentic AI labs.
Why will this certification future-proof their careers in a rapidly evolving market?
- Designed from scratch for GenAI-native cybersecurity
- Includes hands-on AI defense, compliance, and red-teaming
- Equips learners to not build, just operate, next-gen security systems
What is the projected market value of generative AI by 2032, and what percentage of enterprises are prioritizing its adoption?
- Projected market value: $1.3 trillion by 2032
- 74% of enterprises are prioritizing GenAI adoption (Gartner, 2024)
Source: Figures based on projections from Bloomberg Intelligence and enterprise adoption data from Gartner (2025).
How does India rank in terms of startups and initiatives focusing on generative AI and agentic AI?
- India is a leading hub for AI innovation, with $600M+ raised in GenAI startups in 2024 alone.
Source: Based on analysis by NASSCOM on India s GenAI startup ecosystem.
What trends in tier 2 cities in India (e.g., Coimbatore, Jaipur) highlight the growth of AI related job roles?
- Tier 2 cities are experiencing a 35%+ hiring surge due to companies like TCS and Infosys setting up GenAI labs, expanding opportunities for both freshers and mid career professionals.
Source: Hiring data from foundit Insights (June 2025) and GetWork report (May 2024).
What is the Payment Schedule and Process?
- Full fee payment of ₹84 thousand + GST must be completed within 5 days of receiving the offer letter
- A non-refundable application deposit of ₹5,000 is required at the time of submission (adjusted in final fee)
- Loan options are also available
Can I self-fund this program?
Yes. If you or your family are funding the program, you can choose to self-fund either partially or in full.
Does Futurense help with loans?
Yes. Futurense has partnered with various financial institutes to offer financial assistance
What is the interest rate on the loans?
Interest rates vary depending on the repayment plan and financial partner. Rates are described as reasonable and competitive considering the recent rise in unsecured loan rates in India.
What are the documents I should keep handy?
Student's Documents:
- PAN
- Aadhar
- Last 3 months’ bank statements
Income Documents
- Last 3 months’ payslips
