Cloud
Cloud Computing Fundamentals
This credential earner demonstrates knowledge of cloud computing, including cloud services, deployment models, virtualization, orchestration, and cloud security.
Get Started Self-Paced
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in partnership with
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This course teaches you about cloud benefits for users and businesses. The individual has a conceptual understanding of how to create a container, deploy a web app to the cloud, and analyze security in a simulated environment. The earner is aware of the job outlook in cloud computing and the skills required for success in various roles.
What you’ll learn:
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Define cloud computing, describe its characteristics, explain how local servers and the internet enable computers to share information, and identify problems that cloud computing solves
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Identify the characteristics of various cloud service models, proprietary and open source cloud solutions, services offered by the major cloud providers, and the value of cloud services to businesses
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Describe on-premises hosting, cloud migration plans, and cloud deployment models, including public, private, and hybrid cloud solutions
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Describe virtual resources, containers in the cloud, microservices in the cloud, application programming interfaces (APIs), and best practices for virtualization in cloud computing
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Create, install an application; test a Docker container
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Describe the process to develop software in the cloud and the benefits of cloud orchestration
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Build and deploy a Docker container to the cloud
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Identify the importance of cloud security, vulnerabilities in cloud data security, features of identity and access management (IAM), database as a service (DBaaS) and its benefits, and the ways cloud databases support data governance and compliance
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Create and review the security settings of an IBM Cloudant database
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Recognize the job market, responsibilities, and skill sets of cloud computing professionals
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Learn about resources and learning opportunities to explore
Earn the IBM Cloud Computing Fundamentals skills badge upon completion.
Time to complete: 20 hours
Upcoming Course Dates
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October 7th 2024
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November 4th 2024
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December 2nd 2024
Course Level
- Suitable for all levels
Venues
- Remote
Prerequisites
- None Required
Schedule
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Remote
- Asynchronous/Self-paced: Learners are utilizing a platform for self-paced learning with structured office hours/workshop support; Still has a start and end date, but may be loose. For example Google offerings via Coursera: Python, Data Analytics, Project Mgmt; IBM Skillsbuild
Have questions?
We can help with course selection, and answer questions about eligibility requirements and special circumstances. Contact an Alumni Admissions team member