Building No-Code Apps with AppSheet: Automation
Earned août 26, 2024 EDT
Building No-Code Apps with AppSheet: Implementation
Earned août 25, 2024 EDT
Building No-Code Apps with AppSheet: Foundations
Earned août 18, 2024 EDT
Preparing for your Professional Data Engineer Journey
Earned juin 30, 2024 EDT
Build Data Lakes and Data Warehouses on Google Cloud
Earned juin 30, 2024 EDT
Introduction to Large Language Models
Earned juin 13, 2024 EDT
This course helps you recognize the need to implement business process automation in your organization. You learn about automation patterns and use cases, and how to use AppSheet constructs to implement automation in your app. You learn about the various features of AppSheet automation, and integrate your app with Google Workspace products. You also learn how to send email, push notifications and text messages from your app, parse documents and generate reports with AppSheet automation.
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This course teaches you how to implement various capabilities that include data organization and management, application security, actions and integrations in your app using AppSheet. The course also includes topics on managing and upgrading your app, improving performance and troubleshooting issues with your app.
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In this course you will learn the fundamentals of no-code app development and recognize use cases for no-code apps. The course provides an overview of the AppSheet no-code app development platform and its capabilities. You learn how to create an app with data from spreadsheets, create the app’s user experience using AppSheet views and publish the app to end users.
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This course helps learners create a study plan for the PDE (Professional Data Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
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While the traditional approaches of using data lakes and data warehouses can be effective, they have shortcomings, particularly in large enterprise environments. This course introduces the concept of a data lakehouse and the Google Cloud products used to create one. A lakehouse architecture uses open-standard data sources and combines the best features of data lakes and data warehouses, which addresses many of their shortcomings.
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This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps.
Building No-Code Apps with AppSheet: Automation
Earned août 26, 2024 EDT
Building No-Code Apps with AppSheet: Implementation
Earned août 25, 2024 EDT
Building No-Code Apps with AppSheet: Foundations
Earned août 18, 2024 EDT
Preparing for your Professional Data Engineer Journey
Earned juin 30, 2024 EDT
Build Data Lakes and Data Warehouses on Google Cloud
Earned juin 30, 2024 EDT
Introduction to Large Language Models
Earned juin 13, 2024 EDT