This dynamic 4-hour course is designed to demystify the complexities of data communication networks. It provides a comprehensive walkthrough of the concepts, structures, and mechanisms that enable digital communication across different platforms and devices. This course will help you understand what is taking place each and every time you use your computer, phone or device!
Expérience recommandée
Ce que vous apprendrez
Identify the various components and their roles within a data communication network.
Distinguish among the major types of network topologies.
Assess the functions of key network protocols.
Formulate basic strategies for securing a data network.
Compétences que vous acquerrez
- Catégorie : Network Component Identification
- Catégorie : Network Management Techniques
- Catégorie : Protocol Assessment
- Catégorie : Topology Differentiation
- Catégorie : Network Security Strategy Formulation
Détails à connaître
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août 2024
4 devoirs
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Il y a 4 modules dans ce cours
Module 1 provides an essential overview of data networking, examining the core components, topological structures, protocols, and fundamental network security concepts. Through a series of informative videos, learners will gain a foundational understanding of how modern communication systems are built and secured.
Inclus
14 vidéos5 lectures1 devoir4 sujets de discussion
Module 2 delves into advanced network security, virtualization, and cloud networking principles. Participants will explore sophisticated security mechanisms, the virtualization of network functions, and the design considerations for cloud-based network environments.
Inclus
10 vidéos3 lectures1 devoir3 sujets de discussion
Module 3 focuses on the principles and practices of network design and management. Participants will gain insights into routing protocol selection, Quality of Service (QoS) configuration, network monitoring tools, and disaster recovery planning to ensure efficient, reliable, and resilient network operations.
Inclus
10 vidéos3 lectures1 devoir3 sujets de discussion
Module 4 explores the integration of emerging technologies into modern networks, including IoT, edge computing, and the application of AI and ML for network optimization and automation, highlighting the latest trends, challenges, and solutions.
Inclus
11 vidéos3 lectures1 devoir3 sujets de discussion
Instructeur
Offert par
Recommandé si vous êtes intéressé(e) par Data Analysis
University of Colorado Boulder
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University of California, Irvine
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Foire Aux Questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.