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Mayank Pratap Singh Tomar

Member since 2022

Silver League

5760 points
Introduction to Generative AI Earned Apr 2, 2024 EDT
Create a Secure Data Lake on Cloud Storage Earned May 31, 2023 EDT
Analyze Speech and Language with Google APIs Earned May 31, 2023 EDT
Organize and Govern Data with Knowledge Catalog Earned May 31, 2023 EDT
Secure Lakehouse Data Earned May 31, 2023 EDT
Level 1: Data, ML and API Skills Earned May 29, 2023 EDT
Level 2: Citizen Developer Skills Earned May 27, 2023 EDT
Develop Serverless Apps with Firebase Earned May 27, 2023 EDT
Build Serverless Applications with Cloud Run Functions Earned May 25, 2023 EDT
App Building with AppSheet Earned May 25, 2023 EDT
Build a Data Warehouse with BigQuery Earned May 19, 2023 EDT
Streaming Analytics into BigQuery Earned May 19, 2023 EDT

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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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 Knowledge Catalog lake for data governance.

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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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Complete the introductory Organize and Govern Data with Knowledge Catalog skill badge to demonstrate skills in the following: creating Knowledge Catalog assets, creating aspect types, and applying aspects to entries in Knowledge Catalog.

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Complete the introductory Secure Lakehouse Data skill badge course to demonstrate skills with IAM, BigQuery, Lakehouse, and Knowledge Catalog to create and secure Lakehouse tables.

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Demand for cloud-skilled workers is rising. According to a report by Indeed, cloud computing jobs are expected to grow 22% over the next five years, much faster than the average for all occupations. And demand for machine learning jobs is expected to grow 75%. Want to grow your skills and take advantage of the opportunity? Level up your tech skills and get hands-on experience in the Arcade, with labs that help you learn and earn your first Google Cloud credential. No experience required.

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Ever thought "I wish I had an app for this" ? Guess what - employers have, too. In fact, demand for citizen developers is expected to grow 300% by 2024 according to a Forrester report. Become the innovator companies want and need with the Arcade. Play now to get hands-on experience creating custom applications with Google Cloud's powerful data tools. Each lab teaches and tests your growing tech skills, and sets you on the path to your first Google Cloud credential.

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Complete the intermediate Develop Serverless Apps with Firebase skill badge course to demonstrate skills in the following: architecting and building serverless web applications with Firebase, utilizing Firestore for database management, automating deployment processes using Cloud Build, and integrating Google Assistant functionality into your applications.

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Earn a Introductory skill badge by completing the Build Serverless Applications with Cloud Run Functions course, where you learn how to use Cloud Run functions through the Google Cloud console and on the command line.

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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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Complete the intermediate Build a Data Warehouse with BigQuery skill badge course to demonstrate skills in the following: joining data to create new tables, troubleshooting joins, appending data with unions, creating date-partitioned tables, and working with JSON, arrays, and structs in BigQuery.

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Earn a skill badge by completing the Streaming Analytics into BigQuery skill badge course, where you use Pub/Sub, Dataflow and BigQuery together to stream data for analytics.

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