WAIG Foundation
WAIG Academy - Learning Platform

AI QA & QC

Quality assurance and quality control for AI deliverables

QA/QC program for AI — data quality control, model validation gates, release checklists, and production monitoring QC.

Operational quality for WAIG assurance deliveries.

Course introduction

Plays a spoken introduction for AI QA & QC using your browser voice (course-specific script).

Infographic

AI QA & QC infographic

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

Module 1: QA vs QC in AI lifecycle

  • QA vs QC in AI lifecycle45m

Module 2: Data quality control and sampling

  • Data quality control and sampling50m

Module 3: Model validation gates and sign-off

  • Model validation gates and sign-off55m

Module 4: Release checklists for ML and LLM

  • Release checklists for ML and LLM60m

Module 5: Production QC and drift alerts

  • Production QC and drift alerts45m

Module 6: Nonconformance and corrective action

  • Nonconformance and corrective action50m