AI Capability Development Pathways for the Future Workforce
Programme Overview
AI is no longer optional. It is becoming part of everyday work, decision-making, productivity, and innovation. NTUpreneur Academy’s AI Capability Development Pathways are designed to help individuals, professionals, and leaders progress from awareness to action. Learners do not just learn what AI is. They learn what is AI, apply it, and lead with it in real organisational settings. This directly supports Singapore’s current push to develop practical AI capability across the workforce through structured learning and hands-on experimentation.
The pathway is designed at three levels, so learners and organisations can enter at the right point. Level 1 builds confidence and practical fluency for the general workforce. Level 2 develops applied AI capability for professionals and practitioners to innovate. Level 3 equips managers and leaders to drive AI adoption, transformation, and innovation at the organisational level. For advanced learners, the Level 3 pathway can be positioned as part of a stackable postgraduate learning journey, consistent with NTU’s broader FlexiMasters and MSc progression model.
NTUpreneur AI Capability Pathways: Learn and Apply AI. Innovate with AI. Lead with AI.
Level 1: Learn AI - AI Essentials for Everyday Work
This pathway is designed for general employees who want to move beyond curiosity and learn how to use AI confidently in everyday work. Participants explore a range of popular AI tools for writing, summarizing, searching, ideation, meeting support, presentation preparation, and productivity. The program is practical, accessible, and application-focused so learners can quickly translate AI into smarter, faster, and more effective work.
Level 2: Apply AI - AI for Innovations and Practitioners
For professionals and practitioners who need more than prompts. Learn how to apply AI to innovate from workflows, analysis, content, decision support, customer engagement, and process improvement while using sound judgment and responsible practices.
Level 3: Lead with AI - Leading AI Transformation: Strategy, Innovation and Change
For managers and leaders who must guide teams, redesign work, and lead responsible AI adoption. Learn how to align AI with strategy, innovation, capability-building, governance, and transformation outcomes. This pathway provides a holistic approach from Self, Team to organisational level. An integrated learning approach from psychological to entrepreneurial theories and frameworks will be used to connect the dots for leaders and managers to level-up their self-awareness and create new insights for leading transformational innovations.
Course Design and Overview
Level 1: AI at Work: From Curiosity to Confidence
Recommended duration: 2 days
Target audience: General employees, administrators, executives, support staff, frontline corporate staff, and public-sector officers new to AI
Entry requirement: None
Value Proposition: Learners gain confidence using popular AI tools to improve daily work, communication, and productivity.
Learning objectives
By the end of the programme, participants should be able to:
- Understand how AI tools can support everyday work, productivity, and communication.
- Apply popular AI tools to drafting, summarizing, searching, ideation, presentation preparation, and meeting support.
- Analyze routine work tasks to identify where AI can save time or improve quality.
- Evaluate AI outputs for accuracy, relevance, tone, and safe workplace use.
- Create simple AI-assisted workflows that can be used immediately in daily work.
Detailed programme
| Module / Session | Focus | Desired Learning Outcome (AoL style) |
| Session 1 | AI at work: what it can do for me | Explain how AI can support common workplace tasks and improve productivity for non-technical users. |
| Session 2 | Using popular AI tools with confidence | Use a range of popular AI tools for drafting, summarizing, searching, and idea generation. |
| Session 3 | Prompting for better results | Construct clear prompts that improve output quality, speed, and relevance. |
| Session 4 | Everyday applications across work tasks | Apply AI to emails, meeting notes, document summaries, slide outlines, and action planning. |
| Session 5 | Checking quality and responsible use | Review AI outputs critically and identify when verification or human judgement is required. |
| Session 6 | Personal productivity workflow lab | Build a simple AI-assisted workflow that improves an everyday work process. |
| Capstone Lab | My AI-at-work application plan | Produce a practical personal use case showing how AI can improve efficiency, quality, or responsiveness at work. |
Assessments
| Assessment Component | Weight | Evidence of Competence |
| Individual applied quiz or tool-use check | 20% | Demonstrates understanding of basic AI concepts, tool functions, and safe-use principles. |
| Hands-on lab exercises | 30% | Shows ability to use prompts and popular AI tools for everyday workplace tasks. |
| Mini-project: personal AI workflow plan | 50% | Presents a realistic AI-enabled workflow with clear workplace value and responsible-use considerations. |
Level 2: Applied AI for Professionals and Innovators: From Use to Impact
Recommended duration: 2 to 3 days
Target audience: PMETs, analysts, consultants, marketers, HR practitioners, finance staff, operations executives, educators, public-sector professionals
Entry requirement: Comfortable with digital tools; prior exposure to AI helpful but not required
Learning objectives
By the end of the programme, participants should be able to:
- Understand how AI is reshaping professional work, problem-solving, and innovation.
• Apply AI tools to research, writing, analysis, ideation, and workflow redesign.
• Analyze task suitability, process bottlenecks, and opportunities for improvement.
• Evaluate trade-offs across speed, quality, risk, and business value.
• Create an AI-enabled innovation use case or workflow improvement plan for the workplace.
Detailed programme
| Module / Session | Focus | Desired Learning Outcome (AoL style) |
| Session 1 | AI for professional work and innovation | Explain how AI can support both execution efficiency and innovation in professional roles. |
| Session 2 | Prompting for stronger outputs | Construct prompts for research, drafting, comparison, and structured problem-solving. |
| Session 3 | Workflow redesign with AI | Map work tasks into automate, augment, and human-led categories. |
| Session 4 | AI for idea generation and innovation | Generate, refine, and compare solution ideas for a real workplace challenge. |
| Session 5 | Functional applications | Apply AI in at least one domain context such as operations, HR, marketing, finance, or policy. |
| Session 6 | Responsible AI and output quality | Review AI outputs critically and justify safe, responsible use in the workplace. |
| Capstone Lab | Applied AI and innovation mini-project | Produce a practical use case showing how AI can improve work or enable innovation. |
Assessment
Assessment is designed in a practical, competency-based format aligned with the expectations of certifiable continuing education courses.
| Assessment Component | Weight | Evidence of Competence |
| Individual applied quiz or case analysis | 20% | Demonstrates understanding of key concepts, risks, and professional judgement. |
| Practical lab exercises | 30% | Shows ability to use prompts, evaluate outputs, and improve a workflow. |
| Mini-project: AI and innovation use case | 50% | Presents a workplace application with clear value, implementation logic, and responsible-use considerations. |
Indicative Desired Outcomes for Participants
• Use AI with greater confidence in daily professional work.
• Identify at least one meaningful innovation opportunity in their function or team.
• Design a workflow or use case that improves speed, quality, service, or insight generation.
• Exercise stronger judgement in reviewing AI outputs and applying responsible-use principles.
Level 3: Leading AI Transformation: Strategy, Innovation and Change
Programme Overview
This program is designed for entrepreneurs, managers, and senior leaders who need to leverage AI not only for efficiency, but for organizational transformation and innovation. Participants learn how to identify strategic AI opportunities, redesign work and business models, lead adoption, and build organizational capability for responsible implementation. The program balances between self and strategic thinking with practical application and experiential learning so that leaders can move from experimentation to sustained transformation.
Recommended duration: 5 days or stackable academic module format
Target audience: Managers, directors, business owners, transformation leaders, public-sector leaders, SME and MNC decision-makers
Entry requirement: At least 3 to 5 years of professional experience recommended
Value Proposition: Learners build the leadership capability to use AI for innovation, transformation, and organization-wide value creation.
Learning objectives
By the end of the programme, participants should be able to:
- Understand how AI is reshaping industries, business models, organizational design, and innovation.
- Understand AI Transformation and Leadership.
- Understand mindsets and psychology of change in Team and Organization.
- Understand Technopreneur mindset.
- Understand Change Management and Leadership.
- Apply AI thinking to identify strategic opportunities for productivity, growth, service improvement, and new value creation.
- Apply Team and Collective Leadership to Leading AI Transformation.
- Analyze organizational readiness, barriers to adoption, and transformation priorities.
- Evaluate AI opportunities, risks, governance choices, and change implications for the organization.
- Evaluate self in leadership change: Psychology of Self and Change.
- Create an AI transformation and innovation roadmap for a business, function, or team.
Detailed Programme
Day 1 : Leadership and Transformation
| Module / Session | Focus | Desired Learning Outcome (AoL style) |
| Session 1 | Leading Change: Leadership Vs Management | Know your roles and functions |
| Session 2 | Know Thyself: From I to We | Big-5: Raise the bar of self-awareness and blind spots |
| Session 3 | Know Them: Team Leadership | Tuckman and Teamwork |
| Session 4 | Connecting the dots: Self to Others | Case Study |
| Session 5 | Conclusion | What’s In It for Me (WII FM)? Call to Action (CTA). |
Day 2: Organization and Culture
| Module / Session | Focus | Desired Learning Outcome (AoL style) |
| Session 1 | Recap for Day 1 | Summary and Quick check-in |
| Session 2 | Organizational Culture and Leading Transformation | From three levels to change |
| Session 3 | Competing Value Framework (CVF) and Change | CVF, Leading Change and Transformation |
| Session 4 | Psychology of Change | Case Study |
| Session 5 | Conclusion | What’s In It for Me (WII FM)? Call to Action (CTA). |
Day 3: Technopreneur Mindset
| Module / Session | Focus | Desired Learning Outcomes (AoL style) |
| Session 1 | Introduction and Overview: Innovative Mindset | Innovative Mindset and Psychology of Biases |
| Session 2 | Innovative Mindset | Mindset traps |
| Session 3 | Innovation and Transformation (Entrepreneurship) | How to do Opportunity Identification? |
| Session 4 | Strategies & Competitive Advantage | Digital Innovation and Competitive Advantage Analysis |
Day 4: AI And Organizational Innovation
| Module / Session | Focus | Desired Learning Outcome (AoL style) |
| Session 1 | AI as a strategic and innovation imperative | Explain why AI is a leadership issue and how it can drive competitiveness, innovation, and transformation. |
| Session 2 | Identifying high-value AI opportunities | Prioritize AI use cases that improve productivity, customer value, operations, or growth. |
| Session 3 | Redesigning work, processes, and business models | Analyze where AI can reshape workflows, services, decision-making, or business models. |
| Section 4 | Fireside Chat and Networking |
| Day 5: AI And Transformation | ||
| Module / Session | Focus | Desired Learning Outcome (AoL style) |
| Session 1 | Leading organisational adoption and change | Develop an approach for capability-building, stakeholder buy-in, and AI-enabled change. |
| Session 2 | Governance, risk, and responsible AI | Evaluate governance principles, risk controls, and human oversight for organisational AI use. |
| Session 3 | Innovation and transformation studio | Integrate AI, innovation, and leadership thinking into a coherent transformation agenda. |
| Capstone Lab | AI transformation and innovation roadmap | Produce a practical roadmap showing how AI can enable innovation and organizational transformation. |
Assessment
Assessment is designed in a practical, competency-based format aligned with the expectations of certifiable continuing education courses.
| Assessment Component | Weight | Evidence of Competence |
| Individual strategic memo or case analysis | 20% | Demonstrates understanding of strategic AI issues, leadership judgement, and transformation logic. |
| Transformation lab exercises | 30% | Shows ability to diagnose readiness, prioritise use cases, and frame change actions. |
| Capstone project: AI transformation roadmap | 50% | Presents an organisation-level plan with innovation value, implementation logic, and responsible-use considerations. |
At the End of This Course, Participants are Expected to:
- Develop the Skills Necessary for Effectively Securing and Managing Venture Financing for Startups and Innovative Ventures
- Apply Strategic Concepts and Develop Practical Growth Plans
- Understand Role of Leadership in Driving Growth and Adapting to Dynamic Business Environments.
- Gain Insights Into Why, What and How to Become Successful Entrepreneurs with Calibrated Leadership Effectiveness from Self to Team Leadership.
- Create Insights on Innovative Mindset and Winning Strategies With Dedicated Mentorship
- Broaden Their Horizons Beyond Singapore and Network with Entrepreneurs From Other Potential Countries.
Who Should Attend?
All PA Officers & Staff (No prior AI experience needed)
People Manager (Leading teams and change)
Programme Fee
| Duration | Fees | |
| Level 1 | 2 days | $2,000 |
| Level 2 | 2-3days | $2000-$3000 |
| Level 3 | 2-3days | $2000-$3000 |
Registration
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