Post-Graduate Certificate in Agentic AI Strategy for Business

Module 5: Enterprise AI Infrastructure

• How agents connect with enterprise systems

• Data flows across ERP, CRM and SaaS tools

• APIs and no-code connectors explained visually

• Designing enterprise workflows

Module 6: Human–AI Collaboration

• Workflows with autonomous systems

• Task decomposition and delegation to agents

• Designing escalation and approval mechanisms

• Human judgement vs machine autonomy

• Human-in-the-loop vs human-on-the-loop systems

Module 7: Hands-On Week II: Designing Agentic Business Workflows

• Mapping business processes suitable for agentic automation

• Visual orchestration using multiple platforms

• Building multi-step workflows with human-in-the loop

• Implementing human approvals and escalation pathways

• Connecting enterprise documents, knowledge bases, and business tools

Module 8: Designing the Autonomous Enterprise

• From automation to autonomous enterprise systems

• Multi-agent coordination across business workflows

• Event-driven enterprises and adaptive operations

• Reimagining organisational structures around agentic systems

Module 9: Decision-Making with Autonomous Agents

• How agentic systems support complex business decisions

• Planning, reasoning, and goal decomposition in AI agents

• Agent-based scenario simulations and strategic forecasting

• Human oversight in autonomous decision environments

• Designing executive 'agent teams' for business functions

Module 10: Memory Systems for AI Agents

• Why AI Agents Need Memory

• Stateless vs Stateful Agents

• Types of Memory (Working, Short-Term, Long-Term) Episodic, Semantic & Procedural Memory

• Conversation Memory & User Personalization

• Memory Storage using Redis & PostgreSQL

• Memory Retrieval Strategies

• Designing Context-Aware Enterprise Agents

Module 11: Agentic Experience Design & Innovation

• Designing AI-agent interactions for customers and employees

• Trust, explainability, and transparency in agent experiences

• Designing persistent and context-aware agent journeys

• Innovation frameworks for agentic products and services

• Agentic product thinking for business leaders

• Identifying high-value opportunities for agent deployment

Module 12: Hands-On Week III: Building Multi-Agent Business Workflows

• Designing specialist agents for different business functions

• Agent delegation, coordination, and task routing mechanisms

• Building collaborative multi-agent workflows

• Integrating documents, tools, and enterprise systems into agent ecosystems

• Evaluating reasoning, memory, and workflow effectiveness

• Simulating enterprise-grade multi-agent business operations

Module 13: Governance Frameworks for Agentic AI Systems

• Governance models for autonomous agents

• Accountability and control in multi-agent ecosystems

• Explainability and auditability of agentic decisions

• Regulatory and compliance implications of autonomous systems

• Building enterprise guardrails for responsible autonomy

Module 14: Security, Safety, and Reliability in Agentic Ecosystems

• Threat models for autonomous agent systems

• Prompt injection, manipulation, and agent misuse risks

• Safety mechanisms for multi-agent environments

• Human override, containment, and fail-safe architectures

• Reliability engineering for enterprise agentic deployments

Module 15: Enterprise Transformation with Agentic AI & the Future of Work

• Platform evaluation and enterprise readiness

• Build vs buy vs partner decisions

• Governance, safety, and human oversight

• Human-agent operating models and workforce transition

• Enterprise scaling and transformation roadmap

Module 16: Designing an Enterprise Agentic Transformation Blueprint

• Identify a high-value opportunity for agentic transformation

• Design a multi-agent enterprise workflow or operating model

• Create a no-code prototype or orchestration blueprint

• Develop governance, risk, and ROI frameworks

Objective:

Design a collaborative multi-agent system where specialized agents use enterprise tools, maintain memory, and coordinate with human approvals to complete business processes.

Concepts Covered:

Multi-Agent Architecture | Agent Collaboration | Tool Calling | Memory | MCP

Human-in-the-Loop (HITL) | Task Delegation | Approval Workflows

Outcome:

Build an enterprise-grade AI workforce where multiple agents collaborate, access enterprise tools, retain context, and work alongside humans.

Objective:

Build a production-inspired Agentic RAG system that retrieves enterprise knowledge, reasons over multiple information sources, and enables agent-to-agent delegation for solving complex business problems.

Concepts Covered:

Agentic RAG Architecture | Vector Database (Pinecone) | Retrieval-Augmented Generation (RAG) | Memory Integration | Agent-to-Agent Delegation | Enterprise Knowledge Retrieval | Response Evaluation | Guardrails | Production Deployment with Docker

Outcome:

Build a production-ready Agentic RAG application where AI agents retrieve enterprise knowledge, collaborate with specialized agents when required, and deliver accurate, context-aware responses suitable for real-world business environments.

Automation follows fixed, pre-programmed rules to complete repetitive tasks. Generative AI creates content, text, images, or code in response to a prompt. Agentic AI goes further. It can reason through a problem, plan a sequence of actions, use tools, remember context, and execute tasks across multiple steps, often without human intervention at each stage. The Post Graduate Certificate in Agentic AI Strategy for Business is specifically designed to help professionals understand these distinctions and apply them to real enterprise decisions.

An Agentic AI strategy is a structured plan for how an organisation identifies, evaluates, deploys, and governs AI agents across its business functions. Without a clear strategy, most AI investments stall at the pilot stage, fail to scale, or create governance and risk gaps that become costly to fix. The Post Graduate Certificate in Agentic AI Strategy for Business gives professionals the frameworks to build this strategy from the ground up, covering workflow redesign, platform evaluation, governance, risk, and ROI.

Most AI programmes either cover Agentic AI as one or two modules within a broader course, or are designed for technical audiences who can code. The Post Graduate Certificate in Agentic AI Strategy for Business is the only 4-month programme in India dedicated entirely to Agentic AI strategy for business professionals, with no coding required. It includes three dedicated hands-on lab weeks, two full weeks on governance and risk, a complete Enterprise Agentic AI Strategy capstone, and is backed by iHUB DivyaSampark, IIT Roorkee.

The programme is designed for three kinds of professionals. Technology and Transformation Professionals who are driving change across technology, consulting, BFSI, retail, healthcare, or manufacturing and want to evaluate AI opportunities and apply Agentic AI strategy without writing a single line of code. Functional Heads and AI Strategists who are making decisions about AI investments, vendor selection, and enterprise transformation and want to set strategy, establish governance, and manage risk. Business Leaders and Entrepreneurs who want to use Agentic AI to create new efficiencies, build smarter operations, and stay ahead of industry change without needing a technical team to translate it for them.

Yes, absolutely. The Post Graduate Certificate in Agentic AI Strategy for Business is 100% no-code and designed specifically for business professionals with no prior coding or technical background. All tools used in the programme are visual and platform-based. The programme is built around business frameworks, enterprise use cases, and strategic decision-making, not programming or systems development.

Agentic AI systems can analyse large volumes of data, identify patterns, generate recommendations, and execute follow-up actions autonomously, enabling faster, more consistent, and better-informed decisions across functions. In the Post Graduate Certificate in Agentic AI Strategy for Business, participants learn how to identify where Agentic AI can add the most value to business decisions, how to design multi-agent systems that support decision-making workflows, and how to govern these systems responsibly.

Agentic AI can redesign how work gets done by automating multi-step workflows, delegating tasks to specialised AI agents, and enabling human-AI collaboration at scale. This affects functions across BFSI, consulting, technology, healthcare, retail, and manufacturing. The Post Graduate Certificate in Agentic AI Strategy for Business dedicates an entire pillar to Agentic Business Workflows, covering how to map, redesign, and implement AI-enabled workflows within existing enterprise systems.

The programme includes three dedicated hands-on lab weeks where you build real AI agent prototypes using no-code tools including Google AI Studio, Docker, GitHub, n8n, Pinecone, and others. You will complete mini-projects applied to real business scenarios across every pillar of the programme and culminate in a complete Enterprise Agentic AI Strategy capstone project presented to faculty and a peer review panel.

Upon successful completion, you will receive a Post Graduate Certificate in Agentic AI Strategy for Business, issued digitally by iHUB DivyaSampark, IIT Roorkee, a Government of India initiative. To earn the certificate, you must maintain at least 50% attendance, achieve a minimum overall score of 50% across all graded mini-projects, and secure 50% or higher on the final capstone project.

Yes. An optional 2-day on-campus immersion is available at IIT Roorkee's Noida campus, exclusively for participants who successfully complete the programme. The campus immersion and any networking events may be available at an additional cost.

Refund requests may be initiated before the commencement of the programme. Once the Post Graduate Certificate in Agentic AI Strategy for Business begins, the programme fee becomes non-refundable.