WAIG Foundation
WAIG Academy Learning Platform

Machine Learning Engineering & MLOps Governance

From model development to production assurance

Hands-on ML lifecycle training covering data pipelines, model validation, drift monitoring, and governance gates in MLOps — aligned with UAAF Model and Data Assurance domains.

Feeds the AI Testing Lab and Governance Validation programs with practitioner-ready talent.

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

Module 1: Supervised, unsupervised, and reinforcement learning fundamentals

  • Supervised, unsupervised, and reinforcement learning fundamentals12m

Module 2: Feature engineering, data quality, and lineage documentation

  • Feature engineering, data quality, and lineage documentation15m

Module 3: Model validation, fairness metrics, and explainability (XAI)

  • Model validation, fairness metrics, and explainability (XAI)18m

Module 4: MLOps pipelines, CI/CD for ML, rollback and deployment controls

  • MLOps pipelines, CI/CD for ML, rollback and deployment controls21m

Module 5: Drift detection, monitoring dashboards, and incident response

  • Drift detection, monitoring dashboards, and incident response12m

Module 6: Control mapping to ISO 42001 and NIST AI RMF

  • Control mapping to ISO 42001 and NIST AI RMF15m