Course Information

Tracks:

Course Instructor

Laurence Liew Laurence Liew Author

Director of AI Innovation at AI Singapore. Creator of the AIRI Framework and author of AI-First Nation. Over 30 years in technology leadership — built Singapore’s AI Apprenticeship Programme (AIAP), the 100 Experiments (100E) industry adoption programme, and AI For Everyone, reaching 300,000+ professionals. Co-chair of OECD/GPAI’s Innovation and Commercialisation Working Group. Built this platform to help individuals and organisations become AI Ready.

  • Mindset
    • Welcome and Course Orientation
    • The Future of Work: Skills, Not Staff
    • What ‘AI Ready’ Looks Like — and How You’ll Prove It
    • What AI Actually Is (Not Magic, Not Movies)
    • How AI Models Are Trained (The Hokkien Mee Analogy)
    • Predicting Numbers: Regression
    • Sorting Into Categories: Classification
    • Finding Patterns Without Labels: Clustering
    • Generative AI: How It Actually Works
    • Computer Vision: How Machines See
    • Learning How to Learn with AI
    • Positioning Your Role for the AI Era
    • Delegating Your First Tasks to AI
    • Building AI Habits That Stick
    • From Consumer to Practitioner (The L2 Shift)
    • Innovation Experiments with AI
  • Ethics & Responsibility
    • AI Has Limitations (Hallucinations, Bias, Errors)
    • Responsible AI Use at Work
    • Your Data and AI (Privacy, Confidentiality)
    • Trust but Verify (Evaluating AI Outputs)
    • AI Risk Assessment for Your Tasks
    • Ethical Delegation to AI Agents
  • Value Creation
    • Where AI Fits in Your Work
    • Your First AI-Assisted Workflow
    • Measuring AI’s Impact (Time Saved, Quality Gained)
    • AI-Powered Communication (Write, Edit, Summarise)
    • Building Your AI Productivity System
    • From Hours Saved to Workflow Transformed
  • Data Literacy
    • Data Is Everywhere (Documents, Emails, Spreadsheets)
    • Good Data vs Bad Data for AI
    • Preparing Your Information for AI
    • AI-Powered Analysis Without Coding
    • Document Synthesis and Data-Driven Decisions
  • Tools & Technical Skills
    • The AI Tool Landscape (What’s Available Today)
    • Prompting as a Professional Skill
    • Structured Prompting (Specification Thinking)
    • Building Your First AI Skill/Agent (No Code)
    • Deep Research for Evidence-Based Decisions
    • Creating Visuals and Presentations with AI
    • Multi-Step AI Workflows (Delegation Thinking)
    • Agentic AI Workflows (2026)
    • Advanced Agent Creation (Custom GPTs/Gems/Skills)
    • Building Agents with Guardrails
    • Evaluating and Choosing the Right AI Tool
    • Orchestrating AI in Your Daily Work
  • AI Ready Submission
    • Your AI Ready Submission