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Beginner · Enterprise & Business AI

B1Introduction to AI and Data-Driven Mindset

Your first confident step into everyday AI: understand it, use it, and use it responsibly.

Who it's for

Executives, managers, team leads, and staff who want to boost productivity with AI. No technical or programming background required.

You'll walk away with

A practical AI use case and a reusable AI workflow for your own work

Build a foundational understanding of AI and data-driven decision-making, and develop the ability to apply AI tools to everyday work tasks.

Format

Lectures + hands-on workshops

Assessment

Pre- and post-tests; hands-on workshop activities

Tools & platforms

Leading AI assistants (e.g., Claude, ChatGPT, Gemini, Copilot)Excel / CSV

Programme Curriculum

What you'll be able to do

  • Explain how AI and data enable effective decision-making in organizations
  • Select appropriate AI tools for tasks such as data analysis, planning, and communication
  • Evaluate the opportunities and risks of AI adoption, taking into account ethics and organizational impact

Your learning journey

  1. Module 1

    AI and Data-Driven Decision Making

    • AI Fundamentals & Data-Driven Decision MakingArtificial Intelligence (AI); Generative AI; data-driven decision-making; organizational AI use cases
    • Prompt EngineeringPrompt engineering principles; the Role + Task + Context + Output Format framework; prompt refinement; hands-on practice with leading AI assistants
    • Generative AI for Office ProductivityAI-assisted writing and summarization; information structuring and synthesis; report and presentation development; content adaptation
    • AI-Assisted Data AnalysisExcel and CSV analysis; trend and anomaly identification; insight generation; business recommendation development
    • AI WorkflowsReusable prompt workflows; task automation; simple AI assistants for recurring work tasks
    • Responsible AIAI limitations; hallucination; bias; data privacy; responsible AI; AI ethics
    • AI Opportunity AssessmentUse-case identification; value and feasibility assessment; AI limitations; risk considerations

  2. Module 2

    Hands-On Workshop and Organizational Adoption

    • Applied AI WorkshopHands-on application of AI assistants to participants' real work tasks
    • AI Adoption & GovernanceAI governance; AI risk management; organizational adoption; scaling AI use from experimentation to operational practice
    • Group PresentationUse-case presentation; results and lessons learned; potential applications and next steps