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Learn the basics of Generative AI and its applications with Google's 45-minute introductory course, including how to develop Gen AI apps using Google Tools.
This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 7 AI principles.
Google's advanced course on Google Sheets covers themes, conditional formatting, advanced formulas, data visualization, and integration with Google Forms for data collection and analysis.
Learn to leverage Google Earth Engine for environmental research in areas like forestry, agriculture, and water with Google's online course.
Master Gmail with Google's own course. Learn to compose, send, reply to messages, manage contacts, customize your inbox, and use advanced search and filtering features.
Master Google Calendar with this course by Google. Learn to schedule, manage events, customize settings, and enhance productivity with reminders, tasks, and appointment slots.
Google's 45-minute course offers an introduction to large language models, their use cases, and enhancing their performance using prompt tuning.
Earn a Google skill badge in Generative AI by completing courses on Generative AI, Large Language Models, and Responsible AI, and passing a final quiz.
Learn to troubleshoot and diagnose LookML code with Google's 1-hour lab. Explore SQL queries, validate syntax and relationships, and diagnose errors.
Master Google Calendar in a 1-2 hour course by Google. Learn to schedule events, set reminders, share calendars, and customize your schedule.
Google's short, hands-on lab introduces Firebase product suite, covering authentication, hosting, storage, and Cloud Firestore in under an hour.
In this lab, you will test your skills to view, filter, and sort data in Looker. You will also be expected to save Looks, add them to a dashboard, add them to a board, and schedule regular delivery of data.
In this lab, you will test your skills in building LookML objects in Looker. You will be expected to create and use dimensions, measures, views, derived tables, filters, and datagroups.
This lab leverages two Google developer platforms: G Suite and Google Cloud Platform (GCP). It uses GCP's BigQuery API, Sheets, and Slides to collect, analyze and present data.
In this hands-on lab, you will learn why Google Cloud is the cleanest cloud in the industry by exploring and utilizing sustainability tools..
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