WAIG Foundation
WAIG Academy - Learning Platform

AI Testing Fundamentals

Functional, robustness, and safety testing for AI systems

Introduction to AI testing — test planning, datasets, metrics, regression suites, and defect taxonomy for ML and LLM systems.

Foundation for WAIG AI Testing Lab practitioner roles.

Course introduction

Plays a spoken introduction for AI Testing Fundamentals using your browser voice (course-specific script).

Infographic

AI Testing Fundamentals infographic

Lessons are locked until you enroll with a verified work email and activate your WAIG Academy - Learning Platform account.

Module 1: AI testing taxonomy and test planning

  • AI testing taxonomy and test planning45m

Module 2: Functional and regression testing for models

  • Functional and regression testing for models50m

Module 3: Robustness and edge-case testing

  • Robustness and edge-case testing55m

Module 4: Bias and fairness test design

  • Bias and fairness test design60m

Module 5: LLM evaluation harnesses and golden sets

  • LLM evaluation harnesses and golden sets45m

Module 6: Test reporting for assurance and audit

  • Test reporting for assurance and audit50m