Azure AI: Plan Your First Project

Course contents (12 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

   Choose a measurable problem

   Start with a user problem and define the prototype’s scope.

4. 4

   Understand Foundry resources and access

   Distinguish projects, resources, deployments, and team access.

5. 5

   Test a model with safe data

   Create limited test requests and observe output quality.

6. 6

   Connect a model to an application with boundaries

   Separate configuration from credentials and control what the application accepts.

7. 7

   Evaluate and plan before scaling

   Use test results, risks, costs, and monitoring to guide the decision.

8. 8

   Applied case study and evidence review

   Evaluate a question-answering prototype with safe test questions

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 key ideas and apply them to realistic situations.