Introduction to AI for Cybersecurity
Part of the Certificate in AI for Cybersecurity
Start anytime. Work at your own pace.
Build AI/ML solutions for anti-spam, anti-phishing, and biometric Identification.
Cybersecurity
Online Self-Paced
20 hours
2 CEUs
$500
Take as a standalone course or as part of the
Certificate in AI for Cybersecurity
Instructor: Dr. Lanier Watkins
Curriculum designed and delivered by Johns Hopkins faculty
LIVE monthly seminars and office hours
Engaging learning including video walkthroughs and hands-on activities
Satisfaction guaranteed. Explore the course with no risk.
Organizations face an expanding attack surface that traditional security methods struggle to protect—while overworked analysts fight alert fatigue.
Learning to build and implement AI-enhanced security solutions will put you at the forefront of the industry shift to adaptive cybersecurity.
By the end of this first course in Dr. Lanier Watkins’ AI for Cybersecurity Certificate, you’ll have practical skills in implementing basic AI tools for spam filtering, anti-phishing, and biometric authentication—along with a solid understanding of how supervised and unsupervised learning approaches can serve as force multipliers in cybersecurity operations.
With Jupyter notebooks and working code examples, you’ll dive into realistic scenarios with real world data sets and learn the fundamentals of developing and optimizing AI models for cybersecurity defense.
Prerequisites
You should have a basic understanding of Python programming and fundamental cybersecurity concepts such as authentication and network threats.
No Risk: Satisfaction Guaranteed
Feel confident in your learning journey! If the course content is too advanced, not advanced enough, or simply doesn’t meet your expectations, we’ve got you covered with our money-back guarantee. Just contact our team within 7 days from purchase to receive a full refund—no questions asked.
Meet Your Instructor
Dr. Lanier Watkins
Johns Hopkins University, Johns Hopkins Applied Physics Laboratory
Lanier Watkins is Principal Professional Staff in the Critical Infrastructure Protection Group at the Johns Hopkins Applied Physics Laboratory, Assistant Technical Director of the Johns Hopkins Information Security Institute, and Chair of Johns Hopkins Engineering’s #1 ranked online master’s programs in Computer Science and Cybersecurity.
Dr. Watkins is Here to Help!
Questions about course content? Looking for insight on specific cyberthreats? Stop by monthly Zoom office hours to talk with Lanier and fellow students about what you’re learning in the course and the past, present, and future of cybersecurity.
Projects You’ll Build (With Expert Guidance)
With ready-to-use Jupyter notebooks and working code examples, Dr. Watkins will walk you through creating…
- Perceptron-Based Spam Filter: Working with real SMS data, you’ll extract keyword features and train a classifier that automatically detects malicious communications, completing your first end-to-end machine learning security tool.
- Support Vector Machine for Spam Detection: Level up: Using “suspect words” for spam and “neutral words” for legitimate messages, you’ll create a sophisticated model that identifies malicious messages that simpler models would miss.
- Phishing Website Classifier: With “one-hot” encoding on categorical data, you’ll evaluate which techniques—linear regression, logic regression, decision trees—provide the highest accuracy for protecting users from fraudulent websites.
- Biometrics: Keystroke Authentication System: Taking a dataset of 51 users’ keystroke dynamics, you’ll build and compare multiple models to create an effective behavioral biometric authentication system.
- Biometrics: Facial Recognition Tool: Using Principal Component Analysis and eigenfaces, you’ll implement dimensionality reduction techniques with the “Labeled Faces in the Wild” dataset for secure identity verification.
Save $300 and Earn the Full Certificate
Introduction to AI for Cybersecurity is one of 3 courses in the full
The image is for illustrative purposes only. Actual certificate design subject to change,
Complete this course as well as:
and the capstone project to earn your Johns Hopkins Certificate of Achievement.
Say $300 when you purchase the full Certificate in AI for Cybersecurity instead of paying for each individually.
Powered by Engineering for Professionals
The #1 Ranked Online Grad Program for Computer Information Technology by U.S. News & World Report
Johns Hopkins Engineering’s Lifelong Learning delivers executive education courses from the same faculty and support team behind Johns Hopkins Engineering for Professionals, the nation’s #1 online, part-time graduate program in computer information technology. This ranking includes our master’s programs in computer science, artificial intelligence, cybersecurity, information systems engineering, and data science.
Course Delivery and Support
The courses are delivered entirely online through the industry-leading Canvas Learning Management System. This system is supported by the same instructional design team behind Johns Hopkins’ renowned Engineering for Professionals program, which serves thousands of online graduate students each year. Upon registration, you will receive an email with instructions to create your Hopkins Canvas account and access the videos, readings, files and quizzes.
Introduction to AI for Cybersecurity
Cybersecurity
Online Self-Paced
20 hours
2 CEUs
$500
Take as a standalone course or as part of the
Certificate in AI for Cybersecurity
No Risk: 7-Day Money-Back Guarantee