Artificial Intelligence and Machine Learning for Cybersecurity Operations

What You Will Learn

Artificial intelligence has emerged as a solution for building smarter and safer security systems that allow you to predict and detect suspicious network activity, such as phishing or unauthorized intrusions. In this course, students learn how AI/ML approaches and models can be used to detect potential attacks and protect corporate systems. Topics include the role of machine learning and neural networks, as well as how to apply AI capabilities and strategies across a variety of applications, including spam filters, network intrusion detection, botnet detection, and secure authentication.

What you will learn:
Detect email threats such as spamming and phishing using AI
Categorize APT, zero-days, and polymorphic malware samples
Overcome antivirus limits in threat detection
Predict network intrusions and detect anomalies with machine learning

Students should possess Cybersecurity concepts and knowledge as well as Python programming language essentials. 

This section is facilitated by an instructor online. Within 2 business days of the class start date, you will receive instructions about how to access the class online.

course outline