This one-day course introduces participants to the fundamentals of AI Agents, their role within the broader AI landscape, and the implications for business and innovation. The program combines structured learning with hands-on workshops focused on identifying, assessing, and prioritizing AI Agent use cases relevant to the participants' domains. It is specifically tailored for business professionals, innovation leaders, digital transformation teams, and students.

Positioning AI Agents in the Modern Artificial Intelligence Landscape

Participants are introduced to the evolution and structure of modern artificial intelligence, with a specific emphasis on the role and significance of AI Agents as the next frontier in business innovation and digital transformation.

Demystifying Large Language Models for Business Professionals

A simplified yet comprehensive overview of large language models, designed for non-technical audiences. This module explains how these models empower AI Agents to process, understand, and act on business inputs intelligently.

Understanding the Core Foundations and Types of AI Agents

An exploration of the fundamental principles behind AI Agents, including their architecture, decision-making capabilities, and the distinct categories of agents used in business, customer service, operations, and more.

Strategic Comparison: Traditional Automation vs. AI Agents

A critical comparison between legacy automation tools and AI Agents, focusing on flexibility, adaptability, and strategic value. This module outlines how AI Agents extend beyond task automation to become active collaborators in business processes.

Business-Centric Use Cases and Industry Applications of AI Agents

Case studies and real-world examples demonstrate how AI Agents are currently being deployed across sectors such as retail, logistics, healthcare, and financial services—highlighting practical value, outcomes, and innovation pathways.

Introducing Governance, Ethical Considerations, and Security for AI Agents

An overview of key frameworks and practices for governing AI Agent deployment, addressing ethical risks, data handling responsibilities, and safeguards for maintaining trust and regulatory compliance in AI-enabled environments.

AI Agent Frameworks and Technological Foundations

This module offers a high-level introduction to the technological components, ecosystem platforms, and design patterns behind AI Agents, enabling participants to understand what is under the hood without deep technical knowledge.

Interactive Workshop: Mapping and Prioritizing AI Agent Use Cases

In this hands-on session, participants will apply structured methods to identify and assess business use cases for AI Agents. Guided group work focuses on aligning AI Agent capabilities to business needs, prioritizing by impact and feasibility, and developing solution blueprints.

Final Planning, Strategic Reflection, and Next Steps

The training concludes with a structured wrap-up session. This includes open discussion, feedback, and final Q&A to consolidate learning.

• Understand the role of AI Agents and their foundations.
• Identify relevant AI Agent use cases in various industries.
• Analyse and map AI Agent capabilities to business needs
• Develop prioritization logic based on ROI and strategy for AI Agent selection.
• Gain awareness of governance, ethics, and risk considerations relative to AI Agents
• Understand how AI agents can bring value to your business model

Blended: Lecture-style presentations, group discussions, case studies, and an interactive workshop.