Data Drift Courses and Certifications

MLOps Fundamentals

Dive into the foundations of Machine Learning Operations (MLOps), learning the concepts of productionizing and monitoring machine learning models!

• DataCamp
• 14 hours
• On-Demand
• Free Trial Available

Monitoring Machine Learning Concepts

Learn about the challenges of monitoring machine learning models in production, including data and concept drift, and methods to address model degradation.

• DataCamp
• 2 hours
• On-Demand
• Free Trial Available

Machine Learning in Production in Python

Elevate your machine learning skills to production level with this focused skill track.

• DataCamp
• 19 hours
• On-Demand
• Free Trial Available

Databricks

Testing ML Models in Production - Detecting Data and Concept Drift

Explore robust ML model testing in production using MLflow, SciPy, and statsmodels. Learn key statistical tests, metrics for drift detection, and gain practical insights for maintaining model effectiveness.

• YouTube
• 55 minutes
• On-Demand
• Free Video

MLOps World: Machine Learning in Production

How Not to Let Your Data and Model Drift Away Silently

Discover strategies to prevent data and model drift, ensuring ML models maintain performance and value over time in production environments.

• YouTube
• 40 minutes
• On-Demand
• Free Video

Introduction to Machine Learning Models (AI) Testing

1600 ratings at Udemy

From Scratch, Learn testing types and Strategies involved in all the phases of ML Models (AI) with real time examples

• Udemy
• 4 hours 55 minutes
• On-Demand
• Paid Course

PMI-CPMAI™ 2026 Exam Prep | Pass on Your First Attempt

278 ratings at Udemy

Master PMI-CPMAI Exam. Confident preparation for the PMI-CPMAI™ 2026 certification. [NEW UPDATE FEBRUARY 2026]

• Udemy
• 5 hours 12 minutes
• On-Demand
• Paid Course

Coursera

Operationalizing ML Models: MLOps for Scalable AI

Master MLOps practices to transform ML prototypes into scalable, production-ready systems using Docker, MLflow, and Kubernetes. Automate deployments, monitor performance, and optimize AI infrastructure for robust applications.

• Coursera
• 3 hours 40 minutes
• On-Demand
• Paid Course

Coursera

AI Model Risk Management

Master AI model risk identification, measurement, and governance through practical frameworks, regulatory compliance evaluation, and control system development for responsible deployment.

• Coursera
• 1 hour 50 minutes
• On-Demand
• Paid Course

Coursera

Detect AI Anomalies: Real-Time Outliers

Master statistical methods and unsupervised learning to build intelligent early warning systems that detect critical AI anomalies in real-time production environments.

• Coursera
• 2 hours 38 minutes
• On-Demand
• Paid Course

Coursera

Secure AI Model Deployments & Lifecycles

Master secure AI model deployment strategies, registry management, and lifecycle monitoring to confidently ship production-ready models with proper governance and risk controls.

• Coursera
• 4 hours 12 minutes
• On-Demand
• Paid Course

Coursera

Automate, Validate, and Promote ML Models Safely

Master MLOps automation with CI/CD pipelines, compliance checks, and drift-triggered retraining to safely deploy and monitor machine learning models in production environments.

• Coursera
• 2 hours 46 minutes
• On-Demand
• Paid Course

No-Code Model Evaluation, Communication, and Business Impact

Master model evaluation beyond accuracy, testing against changing data and communicating insights for maximum business reliability and impact.

• Coursera
• 3 hours 18 minutes
• On-Demand
• Paid Course

Coursera Microcredential

ML Model Training & Validation

Master end-to-end ML model training, validation, and optimization for production environments through hands-on labs covering data preparation, algorithm comparison, and deployment.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course

Coursera

Deploying and Maintaining Production AI Systems

Master MLOps and site reliability engineering to deploy generative AI systems safely, automate model lifecycle management, and maintain peak performance in production.

• Coursera
• 12 hours 56 minutes
• On-Demand
• Paid Course