Google Cloud
Free Fundamentals Training

This course is an introduction to data analytics on Google Cloud. It is designed for learners who have no prior experience with data analytics or Google Cloud. The course covers the basics of data analysis, including collection, storage, exploration, visualization, and sharing. It also introduces learners to Google Cloud's data analytics tools and services. Through video lectures, demos, quizzes, and hands-on labs, the course demonstrates how to go from raw data to impactful visualizations and dashboards.

This course introduces Google Cloud's AI and machine learning (ML) capabilities, with a focus on developing both generative and predictive AI projects. It explores the various technologies, products, and tools available throughout the data-to-AI lifecycle, empowering data scientists, AI developers, and ML engineers to enhance their expertise through interactive exercises.

In this course, you will learn about data engineering on Google Cloud, the roles and responsibilities of data engineers, and how those map to offerings provided by Google Cloud. Additionally, you will learn the ways to address data engineering challenges.

This course covers an introduction to Kubernetes, a software layer that sits between your applications and your hardware infrastructure. Google Kubernetes Engine (GKE) brings you Kubernetes as a managed service on Google Cloud. This course teaches the basics of GKE and how to get applications containerized and running in Google Cloud. The course covers a basic introduction to Google Cloud, an overview of containers and Kubernetes, Kubernetes architecture, and Kubernetes operations.

This course is an introduction to data analytics on Google Cloud. It is designed for learners who have no prior experience with data analytics or Google Cloud. The course covers the basics of data analysis, including collection, storage, exploration, visualization, and sharing. It also introduces learners to Google Cloud's data analytics tools and services. Through video lectures, demos, quizzes, and hands-on labs, the course demonstrates how to go from raw data to impactful visualizations and dashboards.

Google Cloud Platform is one of the leading cloud services provider in the world. This training will provide you with details of its purpose and value, describe uses and user cases of the available application deployment environments, select the most appropriate storage options as well as basic use of BigQuery, Google's managed data warehouse for analytics. You will also learn the basics of creating and managing cloud resources using templates. Diagnostic, logging, and monitoring are also covered in this introductory course.

This course provides an introduction to using Terraform for Google Cloud. It enables learners to describe how Terraform can be used to implement infrastructure as a code and to apply some of its key features and functionalities to create and manage Google Cloud infrastructure. Learners will get hands-on practice building Google Cloud resources using Terraform.

This course is an introduction to leveraging generative AI to enhance productivity and efficiency. Designed for any user, it teaches how to apply Gemini's features across Google Workspace applications. The curriculum covers a wide range of topics, including using Gemini to draft emails in Gmail, generate content and proofread in Google Docs, create and style images in Google Slides, develop project trackers in Google Sheets, and manage tasks like note-taking and translated captions in Google Meet. Additionally, the course explores how to synthesize information from multiple files in Google Drive and personalize an AI assistant using NotebookLM and Agentspace.