What you'll learn
- what is cloud computing; cloud computing types or various mainstream cloud computing platforms such as IaaS, PaaS, SaaS, FaaS, DaaS
- hands-on introduction about Docker such as how to set up a web server using Docker, hands-on with many day-to-day Docker commands from a DevOps perspective
- introduction to virtualization, virtual machine, and hypervisor
- multitenancy in cloud computing; cloud computing deployment models: public, private, hybrid, community, and multi-cloud
- cloud computing applications deployment models
- cloud computing advantages
- how to setup Linux virtual machine using Oracle VirtualBox
- CapEx and OpEx in Cloud Computing
- Cost-Benefit Analysis of Cloud Computing
- Cloud Architecture Key Design Principles
- No programming experience is needed in general.
This course is about cloud computing. It covers almost all topics related to cloud computing. There are lecture notes also which will help you extend your learning about the topics. There is a quiz in the end that will help you test your learning and get the course completion certificate if passed the final quiz.
In lectures, as an example, you will find references to AWS services. There are two main reasons: first, AWS is the leading cloud services provider so learning AWS examples will be helpful if you would like to concentrate on AWS and get certified; and the second reason is I'm certified in AWS and have been working on AWS for a number of years.
The course first starts with the introduction section. In this section, you will learn about what cloud computing is and different terms. By the end of this first lecture, you will have become familiar with many cloud computing terms and gained a general idea about what cloud computing is.
The following section is about cloud computing platform types. There are lectures for each platform type, such as infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS), software-as-a-service (SaaS), data-as-a-service (DaaS), desktop-as-a-service (DaaS), and function-as-a-service (FaaS).
The next section is about different cloud computing deployment models. The section starts with an introductory lecture about cloud computing deployment models. Then there is a separate lecture for each cloud computing deployment model, including community and multi-cloud.
The following section is about deploying applications on the cloud computing platform. It follows with a section on the advantages of cloud computing.
The next section is about virtualization, virtual machine, and hypervisor. The section also includes a lecture on how to install Ubuntu Linux virtual machines on Oracle VirtualBox.
The next section is about Docker. It covers Docker at the introductory level. Since this is a very hands-on section, you will gain solid foundational knowledge about Docker, such as the installation of Docker on Mac, DockerHub, and day-to-day Docker commands from the DevOps perspective.
The following section is about serverless computing. Learning serverless computing in cloud computing is essential nowadays with the inclusion of function-as-a-service components in most cloud-based modern architectures.
Additionally, there are sections (lecture notes) on the CapEx and OpEx, cost-benefit of cloud computing, and cloud architecture key design principles, which can be helpful for advanced learners.
There are lecture notes for various topics which can be helpful in answering quiz questions.
Who this course is for:
- The course is geared more towards software professionals or engineering students interested in learning about cloud computing at a more comprehensive level, from theory and practical perspectives. The course covers a broad range of topics related to cloud computing, including virtualization, virtual machines, serverless computing, and Docker.
SK Singh is the founder of KnoDAX, a software, cloud, and data engineer. He has been involved in the software industry for 25+ years. He has a bachelor's degree in computer science and engineering from India and a master's degree in software engineering from the Pennsylvania State University.
SK has been involved in a wide range of software projects for many governments, private, start-ups, and large public companies in various software engineering roles, including mentor/trainer. Apart from working on central aspects of software engineering such as architecture, design, and development, he also enjoys training, mentoring, and software engineering leadership.
He has many professional certifications such as AWS, Hadoop, Kafka, Oracle, Unix, Java, Java-related frameworks, and many others related.
If you are interested in finding more professional details about him, you can visit his LinkedIn profile.