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AI Development

Model Evaluation and Reliability

Create evaluation sets, compare model behavior and detect failures before they reach users.

Advanced6 hours estimatedSelf-paced · Planned
Course updates
Sculptural artwork for Model Evaluation and Reliability

What you’ll explore

  • Define quality for a real use case
  • Construct representative test cases
  • Score outputs and analyze errors
  • Monitor regressions and reliability

Who this is for

Developers and technically curious builders. The course is designed to connect understanding with a practical activity you can review and improve.

Before you begin

Basic familiarity with programming and working with web APIs is recommended. Intermediate courses assume an introductory understanding of AI application development.

The planned curriculum

A preview of the learning sequence. Lessons and activities are not yet published.

01Define quality for a real use case

Planned focus: define quality for a real use case. This module will pair a guided explanation with an applied exercise and a review of your decisions. Final lesson materials will be confirmed before enrollment opens.

02Construct representative test cases

Planned focus: construct representative test cases. This module will pair a guided explanation with an applied exercise and a review of your decisions. Final lesson materials will be confirmed before enrollment opens.

03Score outputs and analyze errors

Planned focus: score outputs and analyze errors. This module will pair a guided explanation with an applied exercise and a review of your decisions. Final lesson materials will be confirmed before enrollment opens.

04Monitor regressions and reliability

Planned focus: monitor regressions and reliability. This module will pair a guided explanation with an applied exercise and a review of your decisions. Final lesson materials will be confirmed before enrollment opens.

Build something you can explain.

The proposed final activity asks you to apply the course ideas to a small task, document your approach, and explain how you checked the result. Completion requirements will be published with the course.

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