Professor Feamster regularly teaches courses on computer networking, security, and machine learning to a variety of audiences, including undergraduate and graduate students, as well as online learners worldwide.
Applications of machine learning to network security, performance, and operations. Covers traffic classification, anomaly detection, and predictive modeling for networked systems.
Technical and policy aspects of Internet censorship worldwide. Covers measurement techniques, circumvention tools, and the interplay between technology and free expression.
Security and privacy challenges in consumer technologies. Covers smart home devices, web tracking, and techniques for protecting user privacy.
Coursera MOOC covering the principles and practice of SDN, including OpenFlow, network virtualization, and programming network control planes.
Coursera MOOC introducing machine learning fundamentals with practical applications across various domains.
Graduate-level computer networking course for Georgia Tech's Online Masters in Computer Science program. Course creator and founding instructor.
Free instructional video playlists are available on the nfeamster YouTube channel: