Learn to implement AI techniques in cybersecurity, from threat detection to biometric authentication. Perfect for security professionals exploring AI.
Learn to implement AI techniques in cybersecurity, from threat detection to biometric authentication. Perfect for security professionals exploring AI.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full AI for Cybersecurity Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
Instructors:
English
What you'll learn
Use AI techniques to detect and mitigate cyber threats
Develop machine learning models for spam and phishing detection
Implement AI-driven biometric authentication solutions
Apply practical cybersecurity skills using real-world tools
Skills you'll gain
This course includes:
0.7 Hours PreRecorded video
9 assignments, 1 ungraded lab
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
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There are 4 modules in this course
This comprehensive course explores the integration of artificial intelligence in cybersecurity applications. Students learn to implement AI techniques for detecting and mitigating various cyber threats, with a focus on practical applications. The curriculum covers spam detection, phishing prevention, and biometric authentication solutions. Through hands-on implementations using tools like Jupyter Notebooks, learners develop practical skills in applying machine learning models to enhance security measures and protect digital assets.
Course Introduction
Module 1 · 12 Minutes to complete
AI for Cybersecurity Professionals
Module 2 · 2 Hours to complete
Ham or Spam? Detecting Email Cybersecurity Threats with AI
Module 3 · 2 Hours to complete
Securing User Authentication
Module 4 · 3 Hours to complete
Fee Structure
Instructor
Cybersecurity Leader and Chair of Computer Science Programs at Johns Hopkins University
Lanier Watkins is a distinguished academic and leader in the field of cybersecurity, currently serving as the chair of the Engineering for Professionals Master’s programs in Computer Science and Cybersecurity at Johns Hopkins University. He also holds a secondary appointment as an associate research professor at the JHU Information Security Institute, where he contributes as the assistant technical director. With over ten years of industry experience at Ford Motor Company and AT&T, Lanier has developed innovative algorithms and frameworks aimed at defending critical infrastructure networks against evolving cyber threats. His research focuses on key areas such as network security, Internet of Things (IoT) security, vulnerability monitoring, malware analysis, and data analytics.In addition to his administrative and research roles, Lanier Watkins teaches several courses on Coursera, including "Introduction to AI for Cybersecurity" and "Advanced Malware and Network Anomaly Detection." His work has been recognized with numerous awards, including the Black Engineer of the Year’s Modern-Day Technology Leader Award. A senior member of the IEEE and a member of the Association for Computing Machinery, he has published extensively in top-tier journals and holds multiple patents related to cybersecurity technologies. His commitment to advancing knowledge in cybersecurity not only enhances academic discourse but also contributes significantly to practical applications in the field.
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Frequently asked questions
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