Feb 05, 2025  
2024-2025 General Catalog 
    
2024-2025 General Catalog
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NET 383 - Intermediate Cloud Computing


Course Department: Business
3 Credits
Total Lecture Hours: 30
Total Lab Hours: 30
Total Clinical Hours: 0
Course Description:
Cloud computing is a rapidly growing and in-demand field of IT that offers many benefits and opportunities. In this course, you will learn the fundamentals of cloud computing, such as its primary characteristics, deployment models, service models, and providers. You will also learn how to use various technologies and tools for cloud computing, such as virtualization, networking, storage, security, automation, and monitoring. You will get hands-on experience with popular cloud platforms such as AWS, Azure, and GCP. You will develop the knowledge and skills to migrate, deploy, test, optimize, troubleshoot, and manage cloud-based solutions for various scenarios. Additionally, this course will help you prepare for the Cloud + exam, a valuable certification for cloud professionals. This class will also help you develop your critical thinking skills as you evaluate various technology topics and concepts and find their connections and applications in a lab setting. This skill will help you in any technology career you pursue. Additionally, this class will improve your hands-on technology literacy which will enable you to make informed and effective decisions in your work.

Prerequisites: NET 196 - Introduction to Cloud Computing  
Mode(s) of Instruction: Traditional/Face-to-Face, Online

Course Fees: ebook/Access Code: $124.99 (charged once per term for all courses that use Cengage Unlimited)

Student Learning Outcomes and Objectives:
  1. Explain the fundamental concepts and benefits of cloud computing and compare different cloud models and providers.
  2. Deploy and optimize virtual machines and other cloud resources using various tools and techniques.
  3. Migrate applications and data to the cloud and test their functionality and performance.
  4. Configure and secure cloud networks and storage services using best practices and standards.
  5. Monitor and troubleshoot cloud systems and services using common commands and tools.
  6. Automate and maintain cloud workflows and processes using scripts and APIs.



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