You must have heard about cloud computing, at this time it is growing very fast in the field of technology, and some of your students want to learn cloud computing for free, so I have brought 5 websites for you, which will help you understand cloud computing. so let’s start and see what website this is
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1. Cloud Computing Basics (Cloud 101)
Over the next few weeks, we’ll cover the basics of cloud computing: what it is, what it supports, and how it can be implemented. We’ll be looking at storage services, the cloud economy, managed infrastructure layers, and Azure services. We will also explore different cloud deployment models and hosting scenarios. Last but not least, we will compare several cloud platforms and discuss the future of cloud computing.
2. Google Cloud Fundamentals: Core Infrastructure
Google Cloud Basics: Core Infrastructure introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course introduces and compares many Google Cloud computing and storage services, along with key resource management tools and policies.
3. Cloud Computing Foundations
Welcome to the first course in the specialized field of Building large-scale cloud computing solutions! In this course, you will learn how to build basic cloud computing infrastructure, including websites, serverless technologies, and virtual machines. You will also learn how to apply agile software development techniques to projects, which will be useful when building portfolio projects and global cloud infrastructure.
This course is ideal for beginner and intermediate students interested in applying cloud computing to data science, machine learning, and data engineering. Students should have beginner Linux and intermediate Python skills
4. Cloud Machine Learning Engineering and MLOps
Welcome to the fourth course of the Building Cloud Computing Solutions at Scale specialization! In this course, you will build on the cloud computing and data engineering concepts introduced in the first three courses to apply machine learning to real-world projects. First, you will develop machine learning applications and use software development best practices to create machine learning applications. You will then learn to use AutoML to solve problems more effectively than traditional machine learning approaches. Finally, dive into new machine learning topics including MLOps, Edge Machine Learning, and AI APIs.
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5. Cloud Systems Software
This course provides an introduction to frameworks and the challenges of deploying them in the cloud. Discusses several topics including scalable distributed data storage, resource management (to support multi-tenancy and elasticity), and virtualization techniques. Optionally, students are also guided through implementing a basic version of a distributed execution system for the Map-Reduce programming framework
Today,s Thought9. “You will find the key to success under the alarm clock.” – Benjamin Franklin