How Does the NUS AI Course for Senior Executives Programme Explain AI to Non-Technical Executives?
- AI for Senior Executives Programme From NUS Business School at a Glance
- How the NUS AI Course for Senior Executives Builds AI Understanding
- Can the NUS AI Course for Executives Programme Help Executives Work with Technical AI Teams?
- How Does the NUS AI Course Help Participants Apply Their Learning?
- What Can Participants Expect to Gain from the AI for Senior Executives Programme from NUS Business School?
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Synopsis: The NUSB AI for Senior Executives Programme helps non-technical leaders build AI fluency, evaluate emerging technologies and lead practical AI initiatives through strategic learning, playbooks and applied projects. |
Can a senior executive understand artificial intelligence as deeply and effectively as a technologist would? The answer is yes when you take a structured approach towards understanding AI. The NUS AI for Senior Executives Programme takes a business-led approach to AI learning. This NUS AI course covers AI and machine learning fundamentals, strategic decision-making, AI tools, data governance, implementation, ROI measurement, generative AI and agentic AI. The focus is on helping experienced leaders harness AI to make informed decisions and initiatives across their organisations.
AI for Senior Executives Programme From NUS Business School at a Glance
| Programme aspects | Details |
| Duration | 5 months |
| Format | Online + live online + on-campus immersion |
| Features |
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| ROI for participants |
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How the NUS AI Course for Senior Executives Builds AI Understanding
The NUS AI course begins with core AI concepts and gradually progresses towards application. For executives looking for AI skills to uplift their strategic decision-making capabilities, such a structured approach can build a working understanding of AI before examining how it can be implemented across an organisation.
The first pillar, AI for Strategic Advantage, covers:
- Introduction to artificial intelligence and machine learning
- AI-powered strategic decision-making
- Identifying high-impact AI opportunities
- Building an AI roadmap and implementation strategy
- Generative AI and multimodal AI applications for business
Rather than treating AI as an isolated technical subject, the programme connects AI concepts with business priorities, decision-making and organisational growth.
Read this blog to learn how the AI for Senior Executives programme helps leaders identify and apply the greatest value of AI to drive organisation-wide transformation initiatives.
How Much Technical AI Knowledge Does the Programme Cover?
The NUS Business School artificial intelligence training for senior executives includes technical topics but presents them through an executive and business application lens. The objective is to help leaders understand what is required to evaluate, implement, and govern AI initiatives.
The curriculum covers:
- AI tools and technology evaluation
- AI-ready data strategy
- Data management and governance
- Data-driven decision-making
- Experimentation and causal inference
- Measuring the ROI of AI initiatives
- Explainable AI and interpretable machine learning models
- Cloud AI services
- Edge and on-device AI applications
- Cybersecurity for AI systems
This coverage can help executives find answers to critical questions on which the success of AI initiatives hinges:
- Is the organisation’s data ready for AI adoption?
- Which tools or technologies are appropriate for a specific business problem?
- How should an organisation measure the value of an AI project?
- What risks could affect implementation?
- What level of human oversight is required?
- How can AI systems be made more transparent and accountable?
The NUS AI course connects technical concepts with executive responsibilities such as prioritisation, risk management, investment decisions and implementation planning.
Explore this detailed guide about the NUS AI course curriculum, including what it covers, its delivery method, and how learners can leverage the insights to make real-world impacts.
How Does the AI for Senior Executives Programme from NUS Business School Cover Generative AI and Agentic AI?
The NUSB AI for Senior Executives programme includes generative AI, multimodal AI and agentic AI to help executives understand current developments in artificial intelligence.
The curriculum introduces generative AI and multimodal AI applications for business. It also includes Agentic AI Executive Working Sessions led by industry practitioners. These sessions are designed to help participants move beyond the concept of agentic AI and consider how organisations can identify, design, prioritise and govern enterprise AI agents.
The four working sessions focus on:
- Agentic AI process discovery: Identifying workflows where AI agents could improve decisions, coordination or execution
- Agentic AI solution blueprints: Defining agent objectives, data requirements, permissions and system access
- Agentic AI ROI and prioritisation: Assessing value potential, implementation feasibility and ROI metrics
- Agentic AI governance and risk: Establishing guardrails for human oversight, workflow control, auditability and risk mitigation
This approach is particularly relevant to executives who want to understand how emerging AI capabilities may affect business processes, workforce design, productivity and enterprise decision-making.
Can the NUS AI Course for Executives Programme Help Executives Work with Technical AI Teams?
Senior leaders often need to work across business, technology, data and operations teams. The NUS AI course addresses this requirement through topics related to AI implementation, organisational readiness and cross-functional leadership.
Participants explore how to:
- Define metrics for measuring AI ROI
- Align stakeholders around AI initiatives
- Develop AI roadmaps aligned with organisational priorities
- Assess and manage organisational readiness for AI adoption
- Build and lead AI-ready teams
- Establish data governance frameworks
The programme also includes three indicative AI playbooks that help translate learning into structured business action.
AI Strategy Playbook
The AI Strategy Playbook focuses on:
- Identifying business challenges
- Assessing AI opportunities
- Developing a data strategy
- Selecting suitable tools
- Defining success metrics
AI Capability Maturity Model Playbook
The AI Capability Maturity Model Playbook addresses:
- AI maturity models and levels
- Capability assessment criteria
- Assessment tools
- Improvement roadmaps
- Action plans
AI Implementation Playbook
The AI Implementation Playbook covers:
- Common pitfalls in AI deployment
- Building an AI team
- Stakeholder engagement strategies
- Risk management frameworks
- Feedback mechanisms
Together, these playbooks can help executives move from general AI awareness to more structured conversations about organisational readiness, implementation and business value.
How Does the NUS AI Course Help Participants Apply Their Learning?
The NUS AI course combines faculty learning with applied activities that help participants connect AI concepts with organisational challenges.
- The learning experience includes:
- A hands-on capstone business challenge
- Case-based class discussions and activities
- Customised AI playbooks
- Insights from industry practitioners
- Weekly support from a Success Coach
- Feedback on assignments and the capstone project
- Agentic AI working sessions
- An optional one-day campus immersion at NUS Business School
This applied approach can help participants use artificial intelligence training to examine an AI opportunity in greater detail, rather than simply learning definitions or reviewing tools at a high level.
What Can Participants Expect to Gain from the AI for Senior Executives Programme from NUS Business School?
The AI for Senior Executives programme from NUS Business School is designed to build capabilities that senior executives can use when leading AI-related initiatives.
Participants can expect to develop the ability to:
- Identify high-impact AI opportunities
- Design AI roadmaps aligned with business priorities
- Assess data readiness and governance requirements
- Measure the ROI of AI initiatives
- Build and lead cross-functional AI teams
- Manage stakeholder expectations
- Address resistance to AI adoption
- Understand explainable AI and interpretable machine learning
- Evaluate cybersecurity risks related to AI systems
- Explore generative AI and agentic AI applications
- Support responsible and scalable AI implementation
The NUS AI course for senior executives also examines AI applications across customer experience and e-commerce, financial management and fintech, supply chain management and FMCG, people analytics and healthcare. These applications help participants connect AI learning with different business functions and industry contexts.
The NUSB AI for Senior Executives Programme explains artificial intelligence through a progressive, business-focused structure. It begins with AI and machine learning fundamentals, then moves into tool evaluation, data strategy, governance, ROI measurement, implementation and emerging technologies.
For senior professionals, the programme offers a way to build technical AI fluency without making coding the central focus of the learning experience. Its AI playbooks, case-based activities, capstone challenge and agentic AI working sessions can help participants connect artificial intelligence training with strategic decisions and organisational priorities.
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