Security and Software Defined Networking
Evolua em sua carreira com um certificado que antecipa seu sucesso!
This class is offered as CS6250 at Georgia Tech where it is a part of the Online Masters Degree (OMS). Taking this course here will not earn credit towards the OMS degree.
This course covers advanced topics in Computer Networking such as Software-Defined Networking (SDN), Data Center Networking and Content Distribution. The course is divided into three parts:
Part 1 is about the implementation, design principles and goals of a Computer Network and touches upon the various routing algorithms used in CN (such as link-state and distance vector).
Part 2 talks about resource control and content distribution in Networking Applications. It covers Congestion Control and Traffic Shaping.
Part 3 deals with the operations and management of computer networks encompassing SDN's (Software Defined Networks), Traffic Engineering and Network Security.
Aulas com profissionais do setor
Ritmo individual de aprendizado
Comunidade de apoio aos alunos
Este curso é seu primeiro passo em direção a uma nova carreira com o programa Deep Learning
Desenvolva habilidades que aumentarão suas chances de contratação adquirindo conhecimentos inovadores de forma independente.
The ideal preparation for this course would be the successful completion of an undergraduate level Computer Networking course. An understanding of the TCP/IP protocol and the its layer model is recommended. Basic knowledge of python (such as through Intro to Computer Science) is required.
You should be comfortable with the implementation of basic search algorithms and a working knowledge of Linux and virtual machines is recommended.
Want to build on your Computer Networking knowledge or move into Network Engineering positions such as Systems Admin, Network Admin or Technical Operations (WebOps)? If so, this is the class for you.
Computer Networking takes a hands-on approach to teaching very technical material, using Mininet (a network emulator) to show you how a computer network functions, what factors contribute to its efficiency and how to overcome inherent limitations.