Create a Secure Data Lake on Cloud Storage
Earned déc. 27, 2024 EST
Generative AI Fundamentals
Earned déc. 26, 2024 EST
App Building with AppSheet
Earned déc. 17, 2024 EST
Analyze Speech and Language with Google APIs
Earned déc. 16, 2024 EST
Get Started with Cloud Storage
Earned déc. 10, 2024 EST
Get Started with Pub/Sub
Earned déc. 9, 2024 EST
Store, Process, and Manage Data on Google Cloud - Console
Earned déc. 9, 2024 EST
Analyze BigQuery Data in Connected Sheets
Earned déc. 8, 2024 EST
Snowflake to BigQuery Migration
Earned déc. 5, 2024 EST
Introduction to Responsible AI
Earned déc. 4, 2024 EST
Introduction to Large Language Models
Earned déc. 4, 2024 EST
Introduction to Generative AI
Earned déc. 4, 2024 EST
Google Cloud Essentials
Earned déc. 10, 2019 EST
Complete the introductory Create a Secure Data Lake on Cloud Storage skill badge course to demonstrate skills in the following: securing and configuring a Cloud Storage bucket, using Gemini for text generation, managing IAM access control, and establishing a Dataplex lake for data governance.
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Earn a skill badge by passing the final quiz, you'll demonstrate your understanding of foundational concepts in generative AI.
A skill badge is a digital badge issued by Google Cloud in recognition of your knowledge of Google Cloud products and services. Share your skill badge by making your profile public and adding it to your social media profile.
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Earn a skill badge by completing the App Building with AppSheet course, where you learn how to build, configure, and publish apps using AppSheet.
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Earn a skill badge by completing the Analyze Speech and Language with Google APIs quest, where you learn how to use the Natural Language and Speech APIs in real-world settings.
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Earn a skill badge by completing the Get Started with Cloud Storage skill badge course, where you learn how to create a Cloud Storage bucket, how to use the Cloud Storage command line, and how to use Bucket Lock to protect objects in a bucket.
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Earn a skill badge by completing the Get Started with Pub/Sub skill badge course, where you learn how to use Pub/Sub through the Cloud console, how Cloud Scheduler jobs can save you effort, and when Pub/Sub Lite can save you money on high-volume event ingestion.
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Cloud Storage, Cloud Functions, and Cloud Pub/Sub are all Google Cloud Platform services that can be used to store, process, and manage data. All three services can be used together to create a variety of data-driven applications. In this skill badge you use Cloud Storage to store images, Cloud Functions to process the images, and Cloud Pub/Sub to send the images to another application.
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Complete the Analyze BigQuery Data in Connected Sheets skill badge to demonstrate that you can use Connected Sheets to access, analyze, visualize, and share billions of rows of BigQuery data from your Google Sheets spreadsheet.
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This workload aims to upskill Google Cloud partners to perform specific tasks associated with priority workloads. Learners will perform the tasks of migrating data from Snowflake to BigQuery. Sample data will be used during the migration. Learners will complete several labs that focus on the process of transferring schema, data and related processes to corresponding Google Cloud products.There will be one or more challenge labs that will test the learners' understanding of the topics. "This learning path aims to upskill Google Cloud partners to perform specific tasks associated with priority workloads. Learners will perform the tasks of migrating data from Snowflake to BigQuery.
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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 3 AI principles.
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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.
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This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.
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In this introductory-level course, you get hands-on practice with the Google Cloud’s fundamental tools and services. Optional videos are provided to provide more context and review for the concepts covered in the labs. Google Cloud Essentials is a recommendeded first course for the Google Cloud learner - you can come in with little or no prior cloud knowledge, and come out with practical experience that you can apply to your first Google Cloud project. From writing Cloud Shell commands and deploying your first virtual machine, to running applications on Kubernetes Engine or with load balancing, Google Cloud Essentials is a prime introduction to the platform’s basic features.
Create a Secure Data Lake on Cloud Storage
Earned déc. 27, 2024 EST
Generative AI Fundamentals
Earned déc. 26, 2024 EST
App Building with AppSheet
Earned déc. 17, 2024 EST
Analyze Speech and Language with Google APIs
Earned déc. 16, 2024 EST
Get Started with Cloud Storage
Earned déc. 10, 2024 EST
Get Started with Pub/Sub
Earned déc. 9, 2024 EST
Store, Process, and Manage Data on Google Cloud - Console
Earned déc. 9, 2024 EST
Analyze BigQuery Data in Connected Sheets
Earned déc. 8, 2024 EST
Snowflake to BigQuery Migration
Earned déc. 5, 2024 EST
Introduction to Responsible AI
Earned déc. 4, 2024 EST
Introduction to Large Language Models
Earned déc. 4, 2024 EST
Introduction to Generative AI
Earned déc. 4, 2024 EST
Google Cloud Essentials
Earned déc. 10, 2019 EST