Workspace: Integrations

Course Overview

This course, Workspace: Integrations, provides an overview of the power of integrating Google Cloud services and tools with Workspace (formerly G Suite) applications. Participants will learn how to use integration technologies like the Clasp Command Line environment to create and publish web apps and add-ons for Workspace products: Sheets, Docs, Forms, and Slides. Additionally, participants will learn how to create direct connections to Google Cloud data sources using the BigQuery API, Sheets, and Slides to collect, analyze and present data. By the end of the course, participants will have a better understanding of how to use Google Cloud services and tools to integrate with Workspace applications.

[Applications]
After completing this course, users should be able to apply the knowledge they have gained to integrate Google Cloud services and tools with Workspace applications. They should be able to create and publish web apps and add-ons for Workspace products, as well as create direct connections to Google Cloud data sources using the BigQuery API, Sheets, and Slides. Additionally, users should be able to collect, analyze, and present data using the integration technologies they have learned.

[Career Paths]
1. Data Analyst: Data Analysts are responsible for collecting, analyzing, and interpreting data to inform business decisions. They use a variety of tools and techniques to analyze data, such as statistical analysis, machine learning, and data mining. As the demand for data-driven decision-making increases, the need for Data Analysts is expected to grow.

2. Cloud Developer: Cloud Developers are responsible for developing and maintaining cloud-based applications and services. They use a variety of tools and technologies to create and deploy applications on the cloud, such as Google Cloud Platform, Amazon Web Services, and Microsoft Azure. As cloud computing continues to grow in popularity, the demand for Cloud Developers is expected to increase.

3. Machine Learning Engineer: Machine Learning Engineers are responsible for developing and deploying machine learning models. They use a variety of tools and techniques to create and deploy models, such as deep learning, natural language processing, and computer vision. As the demand for AI-driven solutions increases, the need for Machine Learning Engineers is expected to grow.

4. DevOps Engineer: DevOps Engineers are responsible for automating and managing the development, testing, and deployment of applications. They use a variety of tools and techniques to automate processes, such as continuous integration, continuous delivery, and infrastructure as code. As organizations move towards a more agile and automated approach to software development, the demand for DevOps Engineers is expected to increase.

[Education Paths]
1. Bachelor of Science in Computer Science: This degree path focuses on the fundamentals of computer science, such as programming, software engineering, and computer architecture. It also covers topics such as artificial intelligence, machine learning, and data science. With the increasing demand for cloud computing and integration technologies, this degree path is becoming increasingly popular.

2. Bachelor of Science in Information Technology: This degree path focuses on the application of technology to solve business problems. It covers topics such as systems analysis, database design, and network security. With the increasing demand for cloud computing and integration technologies, this degree path is becoming increasingly popular.

3. Master of Science in Computer Science: This degree path focuses on advanced topics in computer science, such as distributed systems, computer networks, and software engineering. It also covers topics such as artificial intelligence, machine learning, and data science. With the increasing demand for cloud computing and integration technologies, this degree path is becoming increasingly popular.

4. Master of Science in Information Technology: This degree path focuses on the application of technology to solve business problems. It covers topics such as systems analysis, database design, and network security. With the increasing demand for cloud computing and integration technologies, this degree path is becoming increasingly popular.