Applications of AI for Anomaly Detection
Contact IT Dojo for current pricing, available dates, and a custom quote tailored to your team or organization.
Course Duration
1 Day
Audience
Employees of federal, state and local governments; and businesses working with the government.
Prerequisites
Familiarity with machine learning concepts and basic Python experience recommended.
Course Description
In this workshop, participants learn how to implement multiple AI-based approaches to solve a specific, practical use case: identifying network intrusions for telecommunications. Participants work through three different anomaly detection approaches, comparing their strengths and trade-offs, and leave able to apply similar techniques to anomaly detection problems in their own domain.
Learning Objectives
- Explain the different types of anomalies and how detection approaches vary by type
- Implement statistical and distance-based anomaly detection methods
- Apply a deep learning approach to an anomaly detection use case
- Compare and evaluate multiple anomaly detection approaches on the same dataset
Course Outline
1. Anomaly Detection Fundamentals
- What makes anomaly detection different from standard classification
- Types of anomalies: point, contextual, and collective
- Evaluating an anomaly detection model's performance
2. Statistical and Distance-Based Approaches
- Statistical methods for identifying outliers
- Distance and density-based anomaly detection
- Strengths and limitations of classical approaches
3. Deep Learning Approaches to Anomaly Detection
- Autoencoder-based anomaly detection
- Applying deep learning models to the network intrusion use case
- Comparing deep learning results to classical approaches
4. Hands-On Lab and Wrap-Up
- Implementing and comparing three anomaly detection approaches
- Tuning models to reduce false positives
- Final questions and key takeaways
Frequently Asked Questions
What does this course cover?
This workshop covers multiple AI-based anomaly detection approaches, implemented hands-on against a network intrusion detection use case.
How long is this course?
Applications of AI for Anomaly Detection is a one-day workshop, available as live remote online instruction or on-site at your facility.
Who should attend?
Data scientists, ML engineers, and security analysts who want hands-on experience with AI-based anomaly detection.
Does IT Dojo offer this training on-site at government or DoD facilities?
Yes. IT Dojo delivers this course on-site at government agencies, DoD commands, and contractor facilities, in addition to live online delivery.
How do I register for this course?
IT Dojo training is employer sponsored. Contact IT Dojo via the Request Training form or call 757-216-3656 to schedule this course for your team.