DEVELOP Malware and Network Anomaly Detection Techniques
Course starts on February 3, 2025. Investment: $500
4 Weeks • 20 Hours • Online
• Hands-on Projects • $500
Earn a certificate of completion from JHU, a recognized leader in education and research. Earn 2 Continuing Education Units (CEUs) upon program completion.
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This course delves deeper into specialized areas of cybersecurity where AI plays a critical role, including malware threat detection and network anomaly detection. It provides hands-on experience in applying AI techniques to identify and respond to sophisticated threats.
This course is ideal for cybersecurity professionals and AI practitioners looking to specialize in using AI for detecting malware and network anomalies, addressing sophisticated cyber threats.
Designed by JHU Faculty, the curriculum covers key skills in artificial intelligence and cybersecurity.
Enhance your knowledge through monthly live seminars designed to deepen your expertise.
JHU faculty are available to answer questions directly through the course site.
Learn at your own pace with engaging and helpful learning materials such as video lectures, relevant readings, and case studies.
Hands-on activities that help you demonstrate competence and enabling reskilling and upskilling.
Boost your AI and Cybersecurity skills with leading educators
Johns Hopkins University Instructor
Lanier Watkins holds a Ph.D. in Computer Science (May 2010) from Georgia State University where he was advised by Dr. Raheem Beyah, three M.S. degrees in the areas of Biotechnology (Johns Hopkins University-2017), Computer Science and Physics (Both from Clark Atlanta University-1999 & 1997), and a B.S. degree in Physics (Clark Atlanta University-1997). In May 2011, he joined the Asymmetric Operations Sector of the Johns Hopkins University Applied Physics Laboratory (JHU/APL) as a Senior Professional Staff II and, in 2022, was appointed to APL’s Principal Professional Staff in the Critical Infrastructure Protection Group. In October of 2013, he was extended a dual appointment as a Lawrence R. Hafstad Fellow and an Associate Research Scientist with the JHU Information Security Institute (JHU/ISI).
In 2023, he was appointed Associate Research Professor and Assistant Technical Director of JHU/ISI. In October 2015, he became a Lecturer for the JHU Engineering for Professional (EP) Master’s Program, and in February 2019, he was appointed Chair of the EP Computer Science and Cyber Security Master’s Programs. He teaches 4 courses and has published over 60 conference papers, journals, and book chapters. He also hold several patents and provisional patents.
Further, he has advised more than 50 cyber security Master’s research students, and several Doctoral students. Prior to joining APL, Lanier worked for over 10 years in industry. He first worked at the Ford Motor Company and then later at AT&T where he held roles such as systems engineer, network engineer, product development manager, and product manager. He is also a member of the ACM and a senior member of the IEEE.
Master advanced malware detection techniques and cutting-edge cybersecurity strategies to safeguard your organization and stay ahead in the ever-evolving threat landscape.
4 Weeks • Online • Hands-on Projects
4 Weeks • Online • Hands-on Projects
10 Weeks • Online • Hands-on Projects
Submit your details below to learn more about the course curriculum, benefits, fee and more.
Submit your details below to learn more about the course curriculum, benefits, fee and more.