Anomaly Detection in the Cloud - How to Detect Issues in Data and Images Without Any ML Experience

This course teaches learners how to detect anomalies in data and images in the cloud without requiring any prior machine learning experience. The learning outcomes include understanding anomaly detection, identifying defects and outliers in datasets and images, and utilizing managed services like Amazon Lookout for Vision and Lookout for Metrics. The course covers topics such as anomaly detection concepts, types of anomalies, APIs, services, creating detectors, mapping, and utilizing pretrained models. The teaching method involves a practical session exploring real-world anomaly detection scenarios. The course is designed for development teams looking to implement smart functionalities in the cloud without the need for machine learning expertise.