Anomaly Detection Courses and Certifications

Introduction to Anomaly Detection in R

Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.

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

Anomaly Detection in Python

Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.

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

Deploy and Test a Visual Inspection AI Cosmetic Anomaly Detection Solution

Deploy and Test a Visual Inspection AI Cosmetic Anomaly Detection Solution

• Google Skills
• 1-2 hours
• On-Demand
• Paid Course

Deploy and Test a Visual Inspection AI Component Anomaly Detection Solution

Deploy and Test a Visual Inspection AI Component Anomaly Detection Solution

• Google Skills
• 1-2 hours
• On-Demand
• Paid Course

Create a Component Anomaly Detection Model using Visual Inspection AI

Ingesting, Aligning, and Training Component Anomaly Detection Models using Visual Inspection AI

• Google Skills
• 1-2 hours
• On-Demand
• Paid Course

Amazon Web Services;  Amazon

AWS SimuLearn: Anomaly Detection

Hands-on AI-powered simulation for designing and implementing anomaly detection solutions on AWS, combining customer interaction practice with live AWS Console experience.

• AWS Skill Builder
• 1 hour
• On-Demand
• Paid Course

Alan Turing Institute

A Review of Machine Learning Techniques for Anomaly Detection - Dr. David Green

Explore machine learning techniques for anomaly detection, covering traditional methods, deep neural networks, and practical applications in various domains.

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

Anomaly Detection on Streaming Data Using Azure Databricks

Learn to detect numerical anomalies in streaming data using Azure Databricks and Anomaly Detector. Build an end-to-end solution for monitoring applications with real-time anomaly detection capabilities.

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

Krish Naik

Anomaly Detection Tutorials - Machine Learning and Its Types With Implementation

Comprehensive tutorial on anomaly detection techniques in machine learning, covering Isolation Forest, DBSCAN clustering, and Local Outlier Factor with practical implementations and examples.

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

Alan Turing Institute

At Scale Anomaly Detection for Enterprise Security - Joshua Neil, Microsoft

Explore scalable anomaly detection for enterprise cybersecurity with Microsoft's Joshua Neil. Learn about real-time telemetry, unsupervised learning, and post-breach detection techniques.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Video

Hardware.ai

Wio Terminal TinyML Course - Anomaly Detection for Predictive Maintenance with Blynk IoT Platform

Learn to implement anomaly detection for predictive maintenance using Wio Terminal, TinyML, and Blynk IoT platform. Covers data collection, model training, testing, and integration with IoT systems.

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

tinyML

Advanced Anomaly Detection Made Easy

Advanced anomaly detection techniques for embedded ML, focusing on custom DSP blocks, feature importance, and threshold optimization. Learn to implement these methods for various IoT applications using Edge Impulse.

• YouTube
• 1 hour
• On-Demand
• Free Video

tinyML

Amber - A Complete, ML-Based, Anomaly Detection Pipeline for Microcontrollers

Discover a complete ML-based anomaly detection pipeline for microcontrollers, featuring real-time sensor value processing, automatic hyperparameter tuning, and high-speed inference capabilities.

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

Dynatrace

Elevating Security with Dynatrace Davis Anomaly Detection

Explore Davis AI's anomaly detection strategies for enhanced security. Learn to apply static, auto-adaptive, and seasonal baselining to efficiently detect threats and analyze abnormal authentication requests.

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

Dynatrace

Anomaly Detection on 5 Pillars of Data Observability with Dynatrace Davis AI

Explore Dynatrace Davis AI's anomaly detection for data observability pillars: freshness, distribution, volume, schema, and lineage. Learn automation techniques for alerting and monitoring data integrity.

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