Offered by IIT Madras Pravartak – A Technology Innovation Hub at IIT Madras
Advanced Certificate Program in Agentic AI Workflows and Agentic System
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 AI Agent Workflows and Agentic Systems 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, set up by the Government of India’s Department of Science & Technology through the National Mission on Interdisciplinary Cyber-Physical Systems. Positioned at the intersection of academia, research, and industry, it leverages IIT Madras’ six decades of excellence, world-class faculty, and advanced labs to deliver skilling, incubation, and innovation programs. It works closely with industry leaders and government bodies to drive technology adoption and build future-ready talent pipelines.
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
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.
.avif)
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 Roorkee’s academic and technical standards.
What You’ll Be Tested On
Logical Reasoning
Basic coding (Python or Java)
Cybersecurity fundamentals
Scenario-based thinking
Important Guidelines
2-hour
Non-invasive online qualifying test with coding + MCQs
No prior experience in cybersecurity required.
Roles Thatʼll Be
Looking for You
.svg.avif){kind=logo}
.avif)
.avif)
.avif)
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
.avif)
.avif)
.webp)
.avif){kind=logo}
.avif)
.avif)
.avif)
.avif)
President
.avif)
India Lead
Analytics
.avif)
AI Studio
.avif)
Analytics
.avif)
Enterprise AI
.avif)
Partner
.avif)
.avif)
Engineering
.avif)
.avif)
Analytics Officer
.avif)
Analytics Leader
Engineering
Analytics
Director
.avif)
Engineering
.avif)
.avif)
.avif)
& Insights
.avif)
.avif)
%201.avif){kind=logo}
Analytics
.avif)
Engineering
.avif)
Officer
Partner
Analytics
.avif)
Data
Leader
.avif)
.avif)
Analytics
.avif)
.avif)
Officer
.avif)
Officer
.avif)
Officer
.avif)
.avif)
.avif)
.avif)
.avif)
.avif)
Officer
Partner
Analytics
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 offered by the PG Certificate Program in AI/GenAI Powered Cybersecurity, offered by the Continuing Education Centre (CEC), IIT Roorkee.
What qualifications do I need to apply?
The duration is 9 months(126+ hours)
What are the eligibility criteria for this program, and who should ideally enroll?
- Minimum 50% in graduation (minimum 3-year degree in CS, IT, Engg, Math, or related tech fields).
- Preferred: 1+ year experience in IT support, software dev, cloud ops, QA, security, etc.
- Must clear the pre-screening test.
- Familiarity with Python, networking, and data structures is recommended.
How can I apply to the PG Certificate Program in AI Engineering on Cloud and AIOps?
When will the application process to the program start?
The application process for CEC, IIT Roorkee’s PG Certificate Program has already begun.
What is the program's fee, and what financing options are available?
- The program fee is ₹1.40 lakhs + 18% GST.
- The Course Fee is ₹1.3 Lakhs + 18% GST
- A mandatory, non-refundable fee of ₹10,000 + 18% GST will be collected by Futurense Technologies for lab access and certifications. This fee is applicable to all enrolled students.
- An may be offered at an additional cost (conditions apply), which will also be charged separately.
- The program fee is ₹1.40 lakhs + 18% GST.
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?
While the exact list is not provided for this program, similar IIT Roorkee programs typically require:
- Application form
- ID proof
- Educational certificates (Class 10th, 12th, Graduation)
- Work experience certificates (if applicable)
- Passport-size photograph
Note: The same may apply unless otherwise stated
Will there be any pre-screen exams for enrolling in the Program?
Yes. The CyberScreener (IGT) is a 2-hour readiness test with MCQs and coding tasks.
Should I have experience in coding to qualify the pre-screening exam?
No. Programming knowledge is not mandatory, thought having programming knowledge is beneficial. Futurense provides a Bridge Course covering Python basics, prompt engineering, and AI tool usage to help bridge the gap before the actual course commencement
How is the teaching format structured for this hybrid program?
- Live online weekend classes: 3 hours each on Saturday and Sunday. (Final schedule will be shared based on faculty availability and discretion)
- Includes labs, hands-on tools, real-world cybersecurity exercises.
- 2–3 days of dedicated CISSP exam preparation workshops, conducted online by industry mentors
- Optional 3-day campus immersion at IIT Roorkee.
- Curriculum is aligned with CISSP and CEH competencies, quipping learners for global certifications.
What if I can t take 3-day of leave at a stretch from my office for the Campus Immersion?
The Campus immersion is optional, so attendance is not mandatory.
Will there be any additional cost for attending the optional 3-day CEC IITRoorkee campus immersion?
Yes. The campus immersion cost is ₹10,000 + taxes.
Will hostel accommodation be provided for outstation candidates from different states during immersion?
Hostel accommodation may be provided either on campus or off campus, depending on the availability of facilities.
What are some practical projects or hands-on learning outcomes included in the course?
Projects include:
- AI-augmented SOC simulation
- Prompt engineering for phishing defense
- Automated cloud misconfig detection
- Malware analysis using GenAI tools
- AI governance policy creation
What are the key modules in the program, starting from traditional AI to building multi-agent systems?
Key modules include:
- Fundamentals of Cybersecurity
- Cryptography & Protocols
- AI & GenAI for Cybersecurity
- SOC Automation
- Cloud Security
- Threat Intelligence
- Ethical Hacking & AI Attacks
- AI Governance & Compliance
- Capstone Project
What is the significance of teaching multi-agent systems and agent collaboration in the program?
Multi-agent systems are essential for:
- Autonomous threat detection
- Red teaming
- Running GenAI-based simulations
- Executing real-time audits across cloud and endpoints
Who is the program director, and why is their expertise significant?
Prof. Gaurav Kumar Nayak (IIT Roorkee)
Expert in GenAI, video understanding, vision-language models
Prof. Raghavendra Rohit (IIT Roorkee)
Expert in applied cryptography and secure communication Their combined experience bridges AI and cybersecurity for real-world readiness.
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: Marketing analytics, automation, ML-based personalization
- Generative AI: Tools like ChatGPT, Jasper, Claude, Gemini for content, campaigns, and strategy
- Agentic AI: Frameworks for building autonomous, AI-driven marketing journeys and user experiences
What tools and platforms are covered in this program?
- GenAI: GPT 4, Claude 3, LangChain, AutoGPT, Guardrails, OpenRouter
- Cybersecurity: Hack The Box, Wireshark, Splunk Sim, ELK Stack, Shodan
- Cryptography: OpenSSL, GnuPG, PyCryptodome, TLSCertGen.io
- Dev Tools: VSCode, GitHub Copilot, Replit
- PromptOps: Promptfoo, PromptArmor, ChatGPT, PromptInject
Why is agentic AI called the next big thing in AI technology?
Agentic AI allows systems to make decisions, learn from feedback, and autonomously execute tasks, which is critical for real time security, dynamic response, and continues lerning in cybersecurity operations.
What makes this certificate program particularly suitable for engineers and tech professionals?
While designed primarily for marketers, it is also suitable for tech professionals as it includes:
- Full-stack security operations.
- Prompt engineering.
- Cloud and container security.
- System-level automation using Python, SOAR, and SIEM tools.
How does the program enable participants to specialize in their specific engineering domains?
This program is primarily marketing-focused, but enables specialization by:
- Cloud, container, and DevSecOps training
- Modular toolkits for use in fintech, edtech, SaaS, e-commerce, etc.
- Roles like Cloud Security Associate, SOC Analyst, and LLM Risk Evaluator
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?
Roles include:
- AI Marketing Strategist
- LLM Risk Evaluator
- AI Cyber Governance Analyst
- SOC Analyst
- Cloud Security Associate
- GenAI Red Teamer
- Threat Intelligence Specialist
- Security Automation Engineer
How does having skills in generative AI and agentic AI impact salary and job prospects?
Professionals with GenAI and Agentic AI skills see:
- 40–60% salary hikes
- Entry-level packages from ₹6–12 LPA
- Roles paying up to 35+LPA in metro cities and GCCs
Source: Salary insights referenced from AnalytixLabs 2025 AI Salary Report and Boston Institute of Analytics 2025 Industry Trends.
How does this program align with the rapid adoption of generative AI by companies like Infosys, TCS, and startups?
- Companies are establishing GenAI labs and AI agents in both metros and tier-2 cities
- The program prepares professionals to meet rising demand for AI-literate marketers in sectors like e-commerce, SaaS, fintech, and edtech
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 ₹1.40 lakhs + GST must be completed within 5 days of receiving the offer letter
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
