Programme Overview

Agentic Artificial Intelligence (AI) represents the next leap in AI evolution, moving beyond predictive models and chat interfaces to goal‑driven systems that can autonomously plan, act, and learn within defined boundaries. For today’s leaders, Agentic AI is no longer experimental; it is rapidly becoming a strategic necessity to drive efficiency, orchestrate complex workflows, and unlock new business models. By combining large language models, tools, data, and feedback loops, Agentic AI can coordinate multi‑step tasks, proactively surface insights, and interact with customers and systems at scale, while still operating under human oversight and organizational guardrails.

Agentic AI applications are transforming sectors such as banking, healthcare, manufacturing, logistics, and services by powering autonomous customer-service agents, IT and operations copilots, risk and compliance monitors, and workflow coordinators. This programme equips leaders to harness Agentic AI’s potential across the enterprise while managing new risks, such as goal misalignment, security vulnerabilities, and ethical concerns, through robust design, governance, and cybersecurity practices. The focus is on innovation with Responsible AI, ensuring that Agentic AI solutions are transparent, accountable, and aligned with organizational values and regulatory expectations.

Join this programme to explore Agentic AI in action, design enterprise‑grade agentic solutions, strengthen your data ecosystem, and build a secure, future‑ready AI roadmap for your organization.

Programme Objective

• Understand Agentic AI’s foundational concepts, evolution from traditional AI and generative AI, and its practical business applications across functions and sectors.
• Master the essentials of designing and developing agentic systems, including goal specification, tool orchestration, human‑in‑the‑loop mechanisms, and monitoring.
• Develop practical Agentic AI applications and use‑case blueprints tailored to your organization’s strategic priorities and operational challenges.
• Understand the data pipelines, governance structures, and information architecture required to safely power Agentic AI at scale.
• Anticipate and strategize the transformative impact of Agentic AI on the Future of Work, roles, and capabilities within your organization.
• Implement Responsible and secure Agentic AI practices, ensuring fairness, transparency, accountability, and robust protection against emerging AI‑driven threats.