Anomaly Detection Courses and Certifications

Conf42

Detecting Anomalies in Logs with Time Series Analysis

Discover how to detect anomalies in cloud logs using time series analysis and machine learning techniques for proactive cost management and monitoring optimization.

• YouTube
• 16 minutes
• Self-Paced
• Free Video

Black Hat

Enhancing Command Line Classification with Benign Anomalous Data

Discover how to revolutionize command line security by combining anomaly detection with LLMs to reduce false positives and enhance malicious command classification accuracy.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

fwd:cloudsec

Taming LLMs to Detect Anomalies in Cloud Audit Logs

Discover how to train LLMs on cloud audit logs to create powerful anomaly detection engines that reduce false positives and enhance security insights.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Paul G. Allen School

PLSE Seminar Series - Alessandra Gorla - Mining Android Apps for Anomalous Behavior

Techniques for detecting suspicious behavior in Android apps by clustering based on advertised functionality and identifying outliers in API usage, with applications in malware detection.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

AI Agents - Transforming Anomaly Detection and Resolution

1 rating

Discover how AI agents revolutionize IT operations by accelerating anomaly detection, root cause analysis, and reducing MTTR through intelligent automation and context curation.

• YouTube
• 12 minutes
• Self-Paced
• Free Video

Advanced Malware and Network Anomaly Detection

23 ratings at Coursera

Equip yourself with AI-powered skills to combat advanced cybersecurity threats. Master malware detection, network anomaly identification, and practical implementations using real-world data.

• Coursera
• 11 hours 47 minutes
• Self-Paced
• Paid Course

Artificial Intelligence (AI) Concepts in Python

16 ratings at DataCamp

Learn the fundamentals behind AI and Machine Learning.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Designing Machine Learning Workflows in Python

Learn to build pipelines that stand the test of time.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Fraud Detection in R

Explore fraud detection techniques using R, covering anomaly detection, social network analysis, handling imbalanced data, and applying robust statistics for effective fraud prevention.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Time Series Analysis in Tableau

In this course, you’ll learn to classify, treat and analyze time series; an absolute must, if you’re serious about stepping up as an analytics professional.

• DataCamp
• 2 hours
• Self-Paced
• Free Trial Available

Strange Loop Conference

Scalable Anomaly Detection - With Zero Machine Learning

Explore Netflix's innovative approach to detecting anomalies in complex distributed systems using stream processing and simple algorithms, without relying on machine learning.

• YouTube
• 41 minutes
• Self-Paced
• Conference Talk

Cloud Native Machine Learning - Automated Anomaly Detection

Explore automated anomaly detection techniques for machine learning, enhancing your ability to identify and respond to data irregularities in cloud-native environments.

• YouTube
• 57 minutes
• Self-Paced
• Free Video

Devoxx

Anomaly Detection in Real Time - Simplicity Is the Ultimate Sophistication

Aprenda a detectar anomalias em tempo real usando técnicas simples e eficazes. Descubra como criar um modelo estatístico para monitorar tráfego web, eventos de busca e cliques em anúncios.

• YouTube
• 1 hour 8 minutes
• Self-Paced
• Conference Talk

Conf42

Leveraging Generative AI and Transformers in Healthcare - Anomaly Detection and Implementation

Explore AI and transformers in healthcare, focusing on anomaly detection, data annotation, and machine learning frameworks. Learn about challenges, implementations, and generative AI applications.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

EDGE AI FOUNDATION

Unleashing the Power of XIAO ESP32S3 Sense - Anomaly Detection, Image Classification, and Keyword Spotting with TinyML

Explore TinyML applications using XIAO ESP32S3 Sense for real-world machine learning tasks including anomaly detection, image classification, and keyword spotting with Arduino IDE.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video