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January 28, 2025
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Master Modern Networking. Gain Hands-On Experience in Linux and Cloud Networking
Instructor: Eric Keller
1,779 already enrolled
Included with
(42 reviews)
Recommended experience
Intermediate level
Familiarity with Python is recommended.
(42 reviews)
Recommended experience
Intermediate level
Familiarity with Python is recommended.
Apply the foundations of networking and describe each of the layers in the network stack
Build and troubleshoot networked infrastructure with Linux networking
Architect and create network infrastructure in the cloud
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This specialization covers the fundamentals of networking within modern computing infrastructure. IT infrastructure has shifted towards software-oriented networks and cloud-based services, changing the roles of engineers. The specialization begins with Network Systems Principles to establish a foundation. Whether you have prior experience or not, this section will be beneficial. Next, we focus on two key areas: Linux Networking and Cloud Networking. In Linux Networking, you'll learn to build network infrastructure using Linux, applicable to switches, routers, and containerized infrastructure like Kubernetes. In Cloud Networking, you'll explore network abstractions in the cloud and understand the underlying infrastructure of cloud providers. By the end, you'll be equipped to create complex networked applications in the cloud and effectively troubleshoot them.
This course can be taken for academic credit as part of CU Boulder’s Masters of Science in Computer Science (MS-CS) degrees offered on the Coursera platform. This fully accredited graduate degree offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more:
MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Applied Learning Project
Throughout the specialization, learners will engage in projects like building Linux-based network infrastructure, work with different cloud network services, and troubleshooting networks. You'll set up virtual routers, create cloud networks, and optimize performance, gaining practical skills in modern networking.
Describe networking layers in depth and how they relate to one another.
Analyze traffic through python programming.
Design a simplified routing protocol that has similar features as to what powers the Internet.
Develop a client and server with socket programming.
Describe Linux networking in depth, including how the kernel processes traffic and how Linux utilities are used
Create network appliances (switch, router, gateway) with Linux
Describe how Linux’s network namespaces work
Design and build networking support for containerized applications, including a network plugin for Kubernetes
Create and secure simple cloud applications
Design and deploy complex applications that are segmented and/or geographically distributed
Analyze tradeoffs between different cloud networking services in architecting a distributed infrastructure
Describe how various cloud abstractions are (or might have been) architected
CU Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.
This Specialization is part of the following degree program(s) offered by University of Colorado Boulder. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
This Specialization is part of the following degree program(s) offered by University of Colorado Boulder. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
University of Colorado Boulder
Degree · 2 years
University of Colorado Boulder
Degree · 24 months
University of Colorado Boulder
Degree · 24 months
University of Colorado Boulder
Degree · 2 years
¹Successful application and enrollment are required. Eligibility requirements apply. Each institution determines the number of credits recognized by completing this content that may count towards degree requirements, considering any existing credits you may have. Click on a specific course for more information.
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This specialization will take about 4 months to complete.
Familiarity with Python is recommended.
It is recommended to complete the courses in this Specialization sequentially.
Courses within the Network Systems: Principles and Practice specialization can be completed for academic credit for CU Boulder's Master of Science in Computer Science (MS-CS) program.
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
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