Wizard Driven AI Anomaly Detection with Databricks in Azure

This course aims to teach participants how to utilize a cloud native, wizard-driven AI anomaly detection solution to detect fraud and anomalies in various industries. The course covers creating anomaly detection models for flagging different types of anomalies, executing unsupervised and supervised models in Apache Spark on Databricks, and utilizing an aggregation framework to prioritize suspicious transactions for investigation. The teaching method involves a combination of theoretical concepts, practical demonstrations, and real-world client success stories. The course is designed for individuals interested in fraud detection, anomaly detection, data science, and machine learning, particularly Citizen Data Scientists looking to enhance their skills in AI-driven anomaly detection.