Explore AI: New Opportunities at Work and in Life

Course contents (12 parts)

1. 1

   Pre-course assessment

   Check your starting knowledge before learning

2. 2

   AI, Machine Learning, Deep Learning and Generative AI Explained

   Lesson video

3. 3

   Recognize Different AI Capabilities

   Explore generation, classification, analysis, and search without treating them as the same thing.

4. 4

   Find Opportunities in Friction

   Turn a day-to-day problem into a specific, measurable task.

5. 5

   Prioritize Value and Risk

   Compare expected benefits, data readiness, and the impact of an incorrect result.

6. 6

   Run a Small Trial, Measure, and Learn

   Design a comparison and stop when a risk appears.

7. 7

   Design Opportunities That Keep People Involved

   Consider users, fairness, and groups who may benefit less.

8. 8

   Applied case study and evidence review

   Choose an AI pilot from three work types

9. 9
   Document0 points1 min

   Course study guide

   A practical guide to the course lessons, with Thai and English editions.

10. 10
    Document0 points1 min

    Practical workbook

    Course-based exercises for review and planning a small real-world trial.

11. 11
    Document0 points1 min

    Quick reference

    A concise reference to course topics and review points for use while working.

12. 12

    Post-course assessment

    Review the key ideas from the lessons