Course Details

AI Jumpstart for Leaders: AI-Enabled Data Driven Digital Transformation (Classroom and Asynchronous e-learning)

Overview

  • Course Date:

    TBA

  • Registration Period:

    TBA

  • Duration/Frequency:

    16 Hours

  • Mode of Training:

    Face-to-Face (Classroom Teaching) and E-learning (Asynchronous)

What You Will Learn

Designed for industry leaders and managers driving digital growth in organisations, this higher-level programme equips you with applied frameworks to identify, evaluate, and champion AI-enabled, data-driven transformation opportunities within their organisations. Building on foundational AI awareness, progress beyond conceptual understanding to develop practical competencies directly applicable to your leadership role.

Through structured evaluation exercises and industry-relevant case studies, you will learn to systematically analyse business workflows, assess AI implementation feasibility, and apply comprehensive evaluation criteria, including impact assessment, resource considerations, and ‘develop-versus-procure’ decision-making, to pinpoint optimal AI integration opportunities within your organisations.

Ethical considerations and responsible AI adoption are woven throughout, ensuring you are equipped to navigate real-world implementation challenges with confidence and accountability. By the end of the course, you will be well-positioned to lead informed AI transformation discussions and drive and co-ordinate meaningful, sustainable change across their organisations.

By the end of this course, you will be able to:
  • Articulate the strategic value and business implications of AI-enabled digital transformation, enabling confident and informed participation in organisational AI strategy discussions at the leadership level.
  • Apply structured multi-criteria evaluation frameworks to assess AI transformation opportunities within their organisation, systematically weighing feasibility, potential business impact, resource requirements, and strategic alignment.
  • Analyse their organisation's business model and operational workflows to identify, compare, and prioritise areas most suitable for AI integration and innovation.
  • Evaluate ‘develop-versus-procure’ options for AI initiatives by examining cost considerations, organisational capability gaps, and implementation risks, to arrive at well-reasoned, evidence-based recommendations.
  • Appraise the ethical considerations and responsible AI governance requirements associated with AI adoption and incorporate these principles into their organisation's AI-integration planning and decision-making processes.

Topics to be covered
  1. AI Strategy Foundations: Leading in the Age of Intelligence (asynchronous)
  2. Recognising and Prioritising AI-Enabled Digital Transformation Opportunities
  3. Applied AI Initiative Evaluation: Feasibility, Impact, and Develop-versus-Procure’ Frameworks
  4. Applied Business Model and Workflow Analysis for AI Integration Decisions
  5. Responsible AI Adoption: Ethical Considerations and Governance for Industry Leaders