AI Transformation: A Roadmap for Organizations

Course contents (11 parts)

1. 1

   Pre-course assessment

   Check your starting knowledge before learning

2. 2

   Mastering AI Risk: NIST’s Risk Management Framework Explained

   Lesson video

3. 3

   Start with a work problem, not a tool

   Identify recurring work and define the intended outcome before choosing technology.

4. 4

   Prepare the team for a new way of working

   Explain the reasons, listen to concerns, and define review roles clearly.

5. 5

   Govern risks before scaling the project

   Identify impact, accountable owners, and controls suited to the task.

6. 6

   Build an operating model and scale

   Prepare system owners, team support, and measures for ongoing use.

7. 7

   Applied case study and evidence review

   Decide what to do when a faster pilot produces more errors

8. 8
   Document0 points1 min

   Course study guide

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

9. 9
   Document0 points1 min

   Practical workbook

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

10. 10
    Document0 points1 min

    Quick reference

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

11. 11

    Post-course assessment

    Use a pilot cycle with success criteria, stop rules, and monitoring after launch.