Model Monitoring for Machine Learning

Course overview

Concepts of Machine Learning Introduction Introduction to the importance of model monitoring in the ML lifecycle. Key concepts: model drift, performance degradation, and real-time monitoring. Understanding how continuous monitoring ensures robust and effective ML models. Monitoring Model Performance Techniques for tracking the performance of machine learning models over time. Performance metrics (KPIs) for model monitoring: accuracy, precision, recall, etc. Tools and frameworks for setting up automated model monitoring systems. Dealing with Model Drift and Bias Identifying and addressing model drift in production environments. Understanding concept drift and effectively retraining models. Best practices for identifying and correcting biases in machine learning models. Real-Time Model Monitoring and Feedback Loops Implementing real-time monitoring systems to track model behavior in production. Building feedback loops for data collection and improving model performance. Tools for alerting and taking corrective actions based on model anomalies. Deployment and Maintenance of ML Models in Production Best practices for maintaining machine learning models post-deployment. Techniques for A/B testing and model versioning in a live environment. Automating model updates and rollbacks to ensure model stability. Machine learning models benefit from real-time monitoring and feedback loops to efficiently detect behavioral anomalies and take timely corrective actions.

Upcoming dates

• 2026-11-15T23:00:00.000Z · 2027-02-12T23:00:00.000Z · Aachen · Combined Learning
• 2026-11-15T23:00:00.000Z · 2027-02-12T23:00:00.000Z · Bielefeld · Combined Learning
• 2026-11-15T23:00:00.000Z · 2027-02-12T23:00:00.000Z · Bonn · Combined Learning
• 2026-11-15T23:00:00.000Z · 2027-02-12T23:00:00.000Z · Dresden · Combined Learning
• 2026-11-15T23:00:00.000Z · 2027-02-12T23:00:00.000Z · Duisburg · Combined Learning

More courses in this field

• Data Analysis and Artificial Intelligence

  IU Akademie IU Internationale Hochschule

• Machine Learning Speciality

  New Horizons Hannover/Leipzig

• Cloud Data Analyst with Additional Qualification PowerBI Basics & Advanced

  brainymotion

• Machine Learning Developer

  alfatraining Bildungszentrum GmbH