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Pawaris Panyasombat

Учасник із 2026

Срібна ліга

Кількість балів: 704
Gemini for Application Developers Earned квіт. 10, 2026 EDT
Use APIs to Work with Cloud Storage Earned квіт. 9, 2026 EDT
Monitoring in Google Cloud Earned квіт. 9, 2026 EDT
Create ML Models with BigQuery ML Earned квіт. 8, 2026 EDT
Build Serverless Applications with Cloud Run Functions Earned квіт. 8, 2026 EDT
Implement Multimodal Vector Search with BigQuery Earned квіт. 7, 2026 EDT
Manage Kubernetes in Google Cloud Earned квіт. 4, 2026 EDT
Automate Data Capture at Scale with Document AI Earned квіт. 1, 2026 EDT
The Basics of Google Cloud Compute Earned бер. 20, 2026 EDT

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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Complete the introductory Use APIs to Work with Cloud Storage skill badge to demonstrate skills in the following: using APIs to work with Cloud Storage resources, including the Cloud Storage API.

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Complete the introductory Monitoring in Google Cloud skill badge course to demonstrate skills in the following: using Cloud Monitoring tools to monitor resources on Google Cloud.

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Complete the intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in creating and evaluating machine learning models with BigQuery ML to make data predictions.

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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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Complete the intermediate Implement Multimodal Vector Search with BigQuery skill badge to demonstrate skills in the following: using Gemini in BigQuery to generate and debug SQL, conduct sentiment analysis, summarize text and identify keywords, generate embeddings, create a Retrieval Augmented Generation (RAG) pipeline, and implement multimodal vector search.

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Complete the intermediate Manage Kubernetes in Google Cloud skill badge course to demonstrate skills in the following: managing deployments with kubectl, monitoring and debugging applications on Google Kubernetes Engine (GKE), and continuous delivery techniques.

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Earn the introductory skill badge by completing the Automate Data Capture at Scale with Document AI course. In this course, you learn how to extract, process, and capture data using Document AI.

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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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