Oneeb Khan
Membro dal giorno 2025
Campionato Diamante
15675 punti
Build LookML Objects in Looker
Earned feb 28, 2025 EST
Analyze Speech and Language with Google APIs
Earned feb 23, 2025 EST
Monitor and Manage Google Cloud Resources
Earned feb 23, 2025 EST
The Basics of Google Cloud Compute
Earned feb 23, 2025 EST
Store, Process, and Manage Data on Google Cloud - Command Line
Earned feb 23, 2025 EST
Analyze Sentiment with Natural Language API
Earned feb 20, 2025 EST
Use Functions, Formulas, and Charts in Google Sheets
Earned feb 19, 2025 EST
Organize and Govern Data with Knowledge Catalog
Earned feb 18, 2025 EST
Integrate Applications with Gemini on Google Cloud
Earned feb 11, 2025 EST
[DEPRECATED] Gemini for Security Engineers
Earned feb 10, 2025 EST
[DEPRECATED] Gemini for Data Scientists and Analysts
Earned feb 10, 2025 EST
[DEPRECATED] Gemini for Cloud Architects
Earned feb 6, 2025 EST
[DEPRECATED] Gemini for Application Developers
Earned feb 5, 2025 EST
Share Data Using Google Data Cloud
Earned feb 5, 2025 EST
Build Real World AI Applications with Gemini and Imagen
Earned feb 1, 2025 EST
Viaggio nell'AI generativa - Agent Platform
Earned feb 1, 2025 EST
Complete the introductory Build LookML Objects in Looker skill badge course to demonstrate skills in the following: building new dimensions and measures, views, and derived tables; setting measure filters and types based on requirements; updating dimensions and measures; building and refining Explores; joining views to existing Explores; and deciding which LookML objects to create based on business requirements.
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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 Monitor and Manage Google Cloud Resources skill badge to demonstrate skills in the following: granting and revoking IAM permissions; installing monitoring and logging agents; creating, deploying, and testing an event-driven Cloud Run function.
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Earn a skill badge by completing the The Basics of Google Cloud Compute skill badge course, where you learn how to work with virtual machines (VMs), persistent disks, and web servers using Compute Engine.
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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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Earn a skill badge by completing the Analyze Sentiment with Natural Language API quest, where you learn how the API derives sentiment from text.
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Complete the intermediate Use Functions, Formulas and Charts in Google Sheets skill badge course to demonstrate skills in the following: analyzing data with functions; visualizing data using charts; and searching, validating, formatting, and displaying data.
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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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This short course on integrating applications with Gemini on Google Cloud helps you discover the Gemini API and its generative AI models. The course teaches you how to access the Gemini models from code. It lets you test the capabilities of the models with text, image, and video prompts from an app.
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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps you secure your cloud environment and resources. You learn how to deploy example workloads into an environment in Google Cloud, identify security misconfigurations with Gemini, and remediate security misconfigurations with Gemini. Using a hands-on lab, you experience how Gemini improves your cloud security posture.
Duet AI was renamed to Gemini, our next-generation model.
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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps analyze customer data and predict product sales. You also learn how to identify, categorize, and develop new customers using customer data in BigQuery. Using hands-on labs, you experience how Gemini improves data analysis and machine learning workflows.
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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps administrators provision infrastructure. You learn how to prompt Gemini to explain infrastructure, deploy GKE clusters and update existing infrastructure. Using a hands-on lab, you experience how Gemini improves the GKE deployment workflow.
Duet AI was renamed to Gemini, our next-generation model.
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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps developers build applications. You learn how to prompt Gemini to explain code, recommend Google Cloud services, and generate code for your applications. Using a hands-on lab, you experience how Gemini improves the application development workflow.
Duet AI was renamed to Gemini, our next-generation model.
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Earn a skill badge by completing the Share Data Using Google Data Cloud skill badge course, where you will gain practical experience with Google Cloud Data Sharing Partners, which have proprietary datasets that customers can use for their analytics use cases. Customers subscribe to this data, query it within their own platform, then augment it with their own datasets and use their visualization tools for their customer facing dashboards.
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Complete the introductory Build Real World AI Applications with Gemini and Imagen skill badge to demonstrate skills in the following: image recognition, natural language processing, image generation using Google's powerful Gemini and Imagen models, deploying applications on the Google Cloud Agent Platform. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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Il corso Viaggio nell'AI generativa - Agent Platform è una raccolta di lab su come utilizzare l'AI generativa su Google Cloud. Nei lab imparerai a utilizzare i modelli Gemini in Agent Platform. Scoprirai inoltre come progettare i prompt, le best practice da seguire e come utilizzare l'AI generativa per l'ideazione, la classificazione, l'estrazione e il riassunto di testi e molto altro ancora. Imparerai anche come ottimizzare un foundation model addestrandolo tramite addestramento personalizzato in Agent Platform ed eseguendo il deployment su un endpoint in Agent Platform.
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