Applications of AI for Anomaly Detection

Price
$500.00 USD

Duration
1 Day

 

Delivery Methods
Virtual Instructor Led
Private Group

Course Overview

In this workshop, you’ll learn how to implement multiple AI-based approaches to solve a specific use case of identifying network intrusions for telecommunications. You’ll learn three different anomaly detection techniques using GPU-accelerated XGBoost, deep learning-based autoencoders, and generative adversarial networks (GANs) and then implement and compare supervised and unsupervised learning techniques. At the end of the workshop, you’ll be able to use AI to detect anomalies in your work across telecommunications, cybersecurity, finance, manufacturing, and other key industries.

Course Objectives

  • Prepare data and build, train, and evaluate models using XGBoost, autoencoders, and GANs
  • Detect anomalies in datasets with both labeled and unlabeled data
  • Classify anomalies into multiple categories regardless of whether the original data was labeled

Who Should Attend?

Experienced Data Scientists
  • Top-rated instructors: Our crew of subject matter experts have an average instructor rating of 4.8 out of 5 across thousands of reviews.
  • Authorized content: We maintain more than 35 Authorized Training Partnerships with the top players in tech, ensuring your course materials contain the most relevant and up-to date information.
  • Interactive classroom participation: Our virtual training includes live lectures, demonstrations and virtual labs that allow you to participate in discussions with your instructor and fellow classmates to get real-time feedback.
  • Post Class Resources: Review your class content, catch up on any material you may have missed or perfect your new skills with access to resources after your course is complete.
  • Private Group Training: Let our world-class instructors deliver exclusive training courses just for your employees. Our private group training is designed to promote your team’s shared growth and skill development.
  • Tailored Training Solutions: Our subject matter experts can customize the class to specifically address the unique goals of your team.

Course Prerequisites

  • Professional data science experience using Python
  • Experience training deep neural networks

Agenda

  • Course Introduction
  • Anomaly Detection in Network Data Using GPU-Accelerated XGBoost
  • Anomaly Detection in Network Data Using GPU-Accelerated Autoencoder
  • Project: Anomaly Detection in Network Data Using GANs
  • Assessment and Q&A
 

Get in touch to schedule training for your team
We can enroll multiple students in an upcoming class or schedule a dedicated private training event designed to meet your organization’s needs.

 



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