This is a self-paced lab that takes place in the Google Cloud console. Deploy and test a visual inspection AI component anomaly detection solution.

Explore cloud computing basics without installing anything! This course is designed for semi-technical and business learners, providing a solid foundation of cloud computing basics. Learners will build an understanding of how platform as a service (PaaS) works as well. The modules in this course cover cloud computing basics, considerations for PaaS adoption, techniques for PaaS success and growth, as well as provide an exploratory PaaS experience for learners. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and suggested exploration examples, building a deeper understanding by doing. You'll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling answer blocks) to small, approachable exercises that take minutes instead of hours.

Practice creating containers without installing anything! This course is designed for learners with no technical experience, providing a solid foundation for container creation and orchestration. Learners will gain hands-on practice on an Ubuntu system that can be easily transferred to other Unix-based operating systems. The modules in this course cover the benefits and uses of Kubernetes, the creation and building of container images, and the deployment of containers. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable examples with suggested edits to explore examples further, building a deeper understanding by doing. You'll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to small, approachable exercises that take minutes instead of hours.

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will explore cost control mechanisms when utilizing the Managed Service for Prometheus on Google Cloud. The Google Cloud Managed Service for Prometheus charges for the number of samples ingested into Cloud Monitoring and for read requests to the Monitoring API. The number of samples ingested is the primary contributor to your cost.

Kubernetes in AWS: Create Cluster in EKS in your own VPC IMPORTANT: You must have or create an AWS account to work along to this course. By the end of this course, you will know the steps necessary to set up your own EKS clusters in AWS. You will configure the AWS CLI and connect your local kubectl to the cluster so you can perform direct operations to the cluster.

By the end of this Project, you will be able to learn how and when to revoke an IAM Role. In this scenario, we are going to deal with a real time example. Suppose, you are working as a security analyst with a global organization called "XYZ". You assigned an IAM role to an EC2 instance and the temporary credentials generated by the role assumption got leaked to a third party. Lets see how can we deal with this situation in an ideal way. This project also reviews the functionality provided by Permission Boundaries and looks at a common use case permission delegation. After completing this Project, you will get a detailed idea of Role Revoking and Permission Boundary.

Do you receive an extraordinary amount of job application emails every day? Moreover, do you have the time to screen and read each job applicant’s email? How can you efficiently filter all candidate emails and forward qualified applicants to hiring committees? In this beginner-level guided project "Process Forms with AI Model in Power Automate", we will use a pre-created job application form and create a model that will extract data from the form. We will then train the model with a couple of patterns, and create a flow that will use the model when candidate emails arrive. Consequently, when we receive a job application by email, the application will go through the flow and, if the candidate meets desired requirements, forward the email to the supervisor. The requirement for this project is having a Microsoft developer program account, but don’t worry, you will be given instructions on how to get it right here. If you are ready to make your and your colleagues’ lives easier by starting to automate manual, time-consuming processes, then this project is for you! Let's get started!

What's the quickest and most efficient way of keeping track of articles in stock? A company supply department usually counts articles manually - how many specific sodas, cookie packages, or any other articles they have. It's a time-consuming and error-prone process, but thankfully, it can be automated with AI Builder and Power Apps. In this beginner-level guided project, you will build and train an AI Builder model for counting objects in images and create a Power Apps application which will use that AI model to show you the number of articles found in images. Of course, the Power App can be shared with colleagues so they can use it too. All we need to do is take our phone, open the application, upload or take a photo of articles and let Power Apps and AI Builder do the rest. Is that a great improvement of a business process or what? The best thing about AI Builder and Power Apps is that anyone can learn to use them regardless of their educational background. We don’t need to be familiar with any programming language; basic knowledge of Excel-like formulas is enough for completing this project.

This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab, you will learn to write and use Vault Policies.

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will connect Cloud Functions and Cloud Run services with Workflows and connect two public Cloud Functions services, one private Cloud Run service, and an external public HTTP API into a workflow.