This is a Google Cloud Self-Paced Lab. In this lab, you will learn how to create a meeting and live stream, how to configure different features in Google Meet, as well as how to configure access to Google Meet.

Welcome to "Containerization using Docker". In this guided project you will learn how to use Docker to create a customised image of your application using Dockerfiles, enable data persistence and will also learn various methods to share your Docker images. Also, the task-based approach that we follow in our guided project will get you a better understanding of basic commands in Docker that comes very handy while working on your real-life project. . Most importantly you will leave this course with more confidence that will get you to work in Docker platform more efficiently. If you have questions about course content, please post them in the forums to get help from others in the course community. For technical problems with the Coursera platform, visit the Learner Help Center. Good luck as you get started, and I hope you enjoy the course! Happy learning !!!!!

This course is intended to give architects, engineers, and developers the skills required to help enterprise customers architect, plan, execute, and test database migration projects. Through a combination of presentations, demos, and hands-on labs participants move databases to Google Cloud while taking advantage of various services. This course covers how to move on-premises, enterprise databases like SQL Server to Google Cloud (Compute Engine and Cloud SQL) and Oracle to Google Cloud bare metal.

This is a self-paced lab that takes place in the Google Cloud console. This hands-on lab demonstrates how to use Binary Authorization to secure your GKE cluster by requiring all containers to be verified and signed by trusted attestors as a part of the build/deploy process.

This is a self-paced lab that takes place in the Google Cloud console. AutoML Vision helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).

In this course, you will learn about what the world’s number one Customer Relationship Manager (CRM) system has to offer. You will begin this course by understanding the components that Salesforce leverages to make it an optimal system. You will learn about the basics in Lightning for Sales, Community Cloud and Marketing, and understanding how to secure your Salesforce Organization and Manage Permissions. These tools will serve as building blocks to implementing Salesforce into any organization. The course includes in-depth readings and practical application activities within Salesforce's Trailhead education platform, peer discussion opportunities, demonstration videos, and peer review assignments.

This is a self-paced lab that takes place in the Google Cloud console. This lab shows you how to create and connect to a SQL Server instance and perform basic SQL operations using the Google Cloud Console and a client.

Confluence is a browser based tool that teams can use in the workplace to collaborate on a variety of projects. Confluence allows you to create anything from meeting notes and product requirements to marketing plans and HR policies. You can create a template for documents that you create regularly and save time. This project will take you through setting up project sites and spaces in Confluence.

This course equips students to build highly reliable and efficient solutions on Google Cloud using proven design patterns. It is a continuation of the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine courses and assumes hands-on experience with the technologies covered in either of those courses. Through a combination of presentations, design activities, and hands-on labs, participants learn to define and balance business and technical requirements to design Google Cloud deployments that are highly reliable, highly available, secure, and cost-effective.

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how Authorized Views in BigQuery can be used to share customer specific data from a Data Sharing Partner.