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Globally, organisations are redefining how intelligence drives performance, with Asia–Pacific at the forefront. Scale, speed, and digital maturity are pushing companies beyond AI pilots to enterprise-wide deployment. Accenture reports that nearly 90% of APAC organisations plan to adopt agentic AI within three years, yet only 1% feel prepared to manage the risks—revealing a sharp gap between ambition and responsible execution. AI is no longer limited to analysis or content generation; enterprises are deploying agents that plan tasks, orchestrate workflows, use tools, and act across systems, signalling a shift from AI-assisted work to autonomous execution at scale.
However, leadership is struggling to keep pace. Many leaders still view AI through isolated tools and pilots, while organisations now need agentic AI leadership—the capability to design AI-driven workflows, govern autonomous systems, and embed AI into operating models, decision-making, and execution.
The Executive Certificate in Agentic AI Leadership by Nanyang Technological University (NTU Singapore) is designed to build this capability. The programme equips leaders with the frameworks, strategic insight, and governance approaches needed to deploy and scale agentic AI responsibly, turning adoption into sustainable advantage. Grounded in global perspectives and APAC realities, it empowers organisations to harness autonomous intelligence confidently, aligning execution, oversight, and strategy while navigating the complexities of risk and enterprise impact.

Explain the evolution and business implications of Agentic AI

Design and build no-code agentic workflows for real business use cases

Identify and prioritise high-impact Agentic AI opportunities across business functions

Plan, run, and scale Agentic AI pilots into operational workflows

Apply governance, risk, and accountability frameworks for AI agents

Lead the adoption of Human + Agent teams within the organisation

Demonstrate leadership as an Agentic AI decision-maker

Global Institutional Pedigree
Learn with NTU, a top-ranked, technology-driven university with deep AI and enterprise expertise

Expert-Led Learning
Get guidance from faculty and industry leaders with hands-on experience in AI and digital transformation.

Enterprise-Focused Curriculum
Gain insights around real-world Agentic AI applications; from automation and CX to governance.

Use-Case–Led Learning
Learn from real-world use cases to understand the deployments of AI agents.

Hands-On Platform Exposure
Experience leading no-code and agentic AI platforms in practice.

Live, Interactive Sessions
Engage in discussion-driven sessions with NTU faculty for maximum practical insight.

Senior Peer Cohort
Learn alongside experienced leaders across industries.

Applied Capstone Project
Address a real business challenge and apply learnings directly to your organisation.

Globally Valued Credential
Earn a credential that enhances leadership credibility and career mobility worldwide.
The Executive Certificate In Agentic AI Leadership programme is designed for leaders who know AI is reshaping how work gets done, but feel constrained by execution bottlenecks, scaling risks, or lack of control.
Mid-Level Leaders & Managers - Responsible for driving results across teams and functions and are seeking structured ways to leverage AI and agentic AI to enhance impact and decision-making.
How this programme delivers value
Moves them from managing work to building AI agents and no-code agentic workflows that scale execution
Translates AI concepts into practical, manager-ready use cases across operations, reporting, and decision support
Builds confidence to lead AI initiatives without coding or technical dependence
Senior Leaders, Consultants & Executives - Responsible for influencing enterprise strategy, transformation, and operating models, and are focused on scaling AI responsibly, effectively, and profitably.
How this programme delivers value
Provides agentic AI frameworks for governance, risk, and accountability
Enables leadership with AI across human + agent teams, not just tools
Offers strategic clarity on when, where, and how to deploy agentic systems at enterprise scale
As organisations move from AI pilots to enterprise deployment, leaders face a critical gap between intent and execution. This curriculum equips leaders to design agentic AI frameworks, build intelligent workflows, and govern AI agents responsibly, enabling confident leadership in an AI-driven enterprise.
Module 1: From Search to Digital Teammates
AI as digital teammate (not “search” / not “answers”)
Live demo: Maya / Sesame (human-like interaction)
Experience layer: Suno + AI creativity activity
Personal shift: “partnering with AI” as a new default way of working
Reflection/activity moments (how your thinking changes when AI is in the room)
Module 2: Why Now: The AI Inflection Point
Cost collapse + capability jumps + adoption velocity
Industry disruption examples
What changed technically: Traditional ML → Foundation Models / LLM basics
AI-native economics (valuation boom, revenue per employee logic)
The implications: time-to-idea/time-to-output collapses
Module 3: The Leap to Agentic AI: From Generation to Action
From automation/RPA → agentic workflows (AI that acts)
Core Building Blocks of Agentic AI
What agents do: multi-agent collaboration + enterprise examples
Workflow orchestration example: calendar agent (n8n)
Hands-on activities: “friction → agent workflow” + tool usage → AI partnership shift
Module 4: Vibe Coding Fundamentals
Introduction to vibe coding
Building your first app with vibe coding
Separating hype from reality
Managing risks in vibe coding
Module 5: Vibe Coding Advanced
Exploring vibe coding platforms
Building an app with an API
Building a multi-step app
Using connectors, tools and data sources
Module 6: Designing Workflows
Examining your workflows
The different levels of workflow
Computational thinking
Designing your workflow algorithm
Module 7: Automating Workflows
Piloting apps to improve your workflow
How companies are building AI-powered agents and workflows
Using connectors and tools for further automation
Exploring multi-agent platforms
Module 8: Scaling from Pilot to SOP
Why pilots succeed but scaling fails
Centralised vs federated agentic workflows
Rethinking SOPs and KPIs
4-level maturity model (Experiment>Pilot>Operational>Scaled)
Module 9: Operations & Sales
Ops and Sales – Workflow patterns for success
Quality, compliance and auditability
Account management with Agentic AI
Augmenting pipeline management and deal execution
Module 10: Marketing & Customer Experience
Marketing and CX – Workflow patterns for success
Balancing personalisation, speed, and brand integrity
Preserving tone, empathy and privacy
CRM integration with agents
Module 11: HR & Finance
HR and Finance – Workflow patterns for success
Hiring, performance and learning workflows with AI agents
Finance analysis and forecasting with AI agents
Preserving accountability in people-impacting decisions
Module 12: The Irreversible Shift: Judgment in an Age of Abundance
Intelligence is cheap, fast, and everywhere — judgment is not
The leadership bottleneck: AI accelerates execution, leaders remain the constraint
WHY–WHAT–HOW framework (direction, framing, AI partnership)
Decision & learning velocity expose real leadership capability
Enterprise value shifts from knowledge → framing, orchestration, design
Module 13: The Three Roles That Scale in an Agentic Organization
The Orchestrator (align humans + AI across silos)
The Architect (design workflows, systems, decision logic)
The Steward (trust, safety, accountability, license to operate)
Role interaction: how the three roles reinforce each other
Personal leadership shift: from execution authority → system design authority
Module 14: Cognitive Capita and Redesign for Agentic Scale
Redesign: Workflows, Decision rights, Accountability & Incentives
AI and jobs: task displacement vs role redesign
Cognitive debt vs cognitive capital (automation bias, offloading research)
AI as thinking amplifier vs answer engine
Brain-based learning in the AI era (metacognition, questioning, reflection)
Module 15: The AI Paradox: Adoption Without Transformation
Leading beyond data: imagination, foresight, possibility (Wright Brothers case)
The AI Paradox: high GenAI adoption, low bottom-line impact
What’s breaking: structural mismatch, not technical inadequacy
Observable failure patterns: pilots don’t scale, AI stays advisory, marginal economics
Organizational antibodies: middle-management resistance + role protection
Module 16: Responsible AI and Agentic Scale
Responsible AI
Failure modes: Hallucinations
Governance Redesign: approvals → boundary-based guardrails + monitoring
Operating rhythm + funding + portfolio governance
Scaling playbook: from local wins to enterprise system
Module 17: Continuous Transformation: Leading Change When AI Never Stops Evolving
Leadership shift: episodic change → continuous adaptation (drift, iteration, versioning)
Fund persistent teams, normalize iteration, manage “live systems”
Leading change: From insight to habit
Future trends of agentic AI: Ecosystem, AI factory, Openclaw
Module 18: Capstone
Given the dynamic nature of the programme, some topics may change at the time of delivery

Adjunct Associate Professor, Nanyang Business School
With over two decades of global leadership experience across sales, product management, and digital transformation, Alvin brings a practitioner’s lens to AI-led enterprise tra...

Lecturer, Wee Kim Wee School of Communication and Information
Ian brings a rare combination of strategic communication, technology leadership, and AI upskilling expertise. With a 25-year career spanning journalism, consumer technology, a...

Gain the programme certificate from Nanayang Technological University post successful programme completion.
The Nanyang Technological University Executive Certificate in Agentic AI Leadership extends its value beyond the formal learning journey through continued access to exclusive engagement platforms and industry networks. PACE Forward Access Participants receive exclusive access to PACE Forward, the flagship quarterly thought leadership forum by NTU PACE. This platform convenes senior executives, industry leaders, alumni, and faculty to explore forward-looking themes through keynote sessions, panel discussions, and curated conversations, enabling continued learning and high-value networking.
**All benefits are subject to change at the discretion of NTU.**
The program opens the opportunity to engage in curated industry forums, including hosting panel discussions featuring leading industry experts. These engagements foster meaningful dialogue on real-world AI leadership challenges while enhancing professional visibility within an influential executive community.
More than 300,000 professionals globally, across 200 countries, have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 percent of the respondents of a recent survey across all our programs said that their learning outcomes were met or exceeded. All the contents of the course would be made available to students at the commencement of the course. However, to ensure the program delivers the desired learning outcomes, the students may appoint Emeritus to manage the delivery of the program in a cohort-based manner during the course period, the cost of which is already included in the overall Course fee of the course.
A dedicated program support team is available 7 days a week to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience.
The Nanyang Technological University (NTU Singapore) has launched the Executive Certificate in Agentic AI Leadership programme to equip leaders with the frameworks, strategic insight, and governance approaches needed to deploy and scale agentic AI responsibly, turning adoption into sustainable advantage. Grounded in global perspectives and APAC realities, it empowers organisations to harness autonomous intelligence confidently, aligning execution, oversight, and strategy while navigating the complexities of risk and enterprise impact.
As organisations transition from AI pilots to large-scale deployments, leaders often encounter a gap between strategic ambition and practical implementation. The programme curriculum is designed to bridge this gap by empowering leaders with the knowledge to design agentic AI frameworks, build intelligent workflows, and establish responsible governance for AI agents — enabling them to lead effectively in an AI-driven enterprise.
The Executive Certificate in Agentic AI Leadership programme by the Nanyang Technological University (NTU Singapore) features Pre-Recorded Video Lectures* from NTU faculty for self-paced learning interspersed with live lectures from renowned NTU Singapore faculty and industry practitioners.
The programme fee varies based on the session and enrollment period. For the latest fee structure, please refer to the programme’s brochure or contact the programme advisor.
Yes, installment or flexible finance options are available to help participants manage the course fee in a flexible manner. Details about payment plans can be obtained by reaching out to the programme advisor.
The duration of the Executive Certificate in Agentic AI Leadership programme typically spans 18 weeks with weekly efforts of 4 - 6hours/week, combining live sessions and pre-recorded sessions for self-paced learning.
Upon successful completion of the program, participants will receive a verified digital certificate from the Nanyang Technological University.
Flexible payment options available.
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