Chanatda Konchom
Member since 2026
Silver League
1916 points
Implement Multimodal Vector Search with BigQuery
Earned Nis 9, 2026 EDT
Perform Predictive Data Analysis in BigQuery
Earned Nis 8, 2026 EDT
Use APIs to Work with Cloud Storage
Earned Nis 8, 2026 EDT
Enhance Gemini Model Capabilities
Earned Nis 7, 2026 EDT
Develop Gen AI Apps with Gemini and Streamlit
Earned Nis 6, 2026 EDT
Agent Platform'da İstem Tasarımı
Earned Nis 4, 2026 EDT
Manage Kubernetes in Google Cloud
Earned Nis 2, 2026 EDT
Engineer Data for Predictive Modeling with BigQuery ML
Earned Mar 30, 2026 EDT
Create ML Models with BigQuery ML
Earned Mar 28, 2026 EDT
Configure Service Accounts and IAM Roles for Google Cloud
Earned Mar 26, 2026 EDT
Model Armor: Securing AI Deployments
Earned Mar 25, 2026 EDT
Vector Search ve Yerleştirmeler
Earned Mar 24, 2026 EDT
Build Serverless Applications with Cloud Run Functions
Earned Mar 23, 2026 EDT
Automate Data Capture at Scale with Document AI
Earned Mar 21, 2026 EDT
Gemini for Security Engineers
Earned Mar 19, 2026 EDT
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 Perform Predictive Data Analysis in BigQuery skill badge course to demonstrate skills in the following: creating datasets in BigQuery by importing CSV and JSON files; harnessing the power of BigQuery with sophisticated SQL analytical concepts, including using BigQuery ML to train an expected goals model on soccer event data and evaluate the impressiveness of World Cup goals.
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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 intermediate Enhance Gemini Model Capabilities skill badge to demonstrate skills in the following: leveraging advanced features of Gemini models, including code generation and execution, grounding, controlled content generation, and synthetic data creation, to build more powerful and sophisticated AI applications.
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Complete the intermediate Develop Gen AI Apps with Gemini and Streamlit skill badge course to demonstrate skills in text generation, applying function calls with the Python SDK and Gemini API, and deploying a Streamlit application with Cloud Run. In this course, you learn Gemini prompting, test Streamlit apps in Cloud Shell, and deploy them as Docker containers in Cloud Run. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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Agent Platform'da istem mühendisliği, görüntü analizi ve çok modlu üretken teknikler gibi becerileri göstermek için Agent Platform'da İstem Tasarımı beceri rozetini tamamlayın. Etkili istemlerin nasıl oluşturulacağını, üretken yapay zeka çıktılarına nasıl rehberlik edileceğini ve Gemini modellerinin gerçek dünyadaki pazarlama senaryolarına nasıl uygulanacağını keşfedin.
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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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Complete the intermediate Engineer Data for Predictive Modeling with BigQuery ML skill badge to demonstrate skills in the following: building data transformation pipelines to BigQuery using Dataprep by Trifacta; using Cloud Storage, Dataflow, and BigQuery to build extract, transform, and load (ETL) workflows; and building machine learning models using BigQuery ML.
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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 the Introductory skill badge by completing the Configure Service Accounts and IAM Roles for Google Cloud course, where you learn about service accounts, custom roles, and how to set permissions using gcloud .
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This course reviews the essential security features of Model Armor and equips you to work with the service. You’ll learn about the security risks associated with LLMs and how Model Armor protects your AI applications. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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Bu kursta yapay zeka destekli arama teknolojileri, araçları ve uygulamalarını keşfedeceksiniz. Vektör yerleştirmelerinin kullanıldığı semantik aramayı, semantik ve anahtar kelime yaklaşımlarının birleştirildiği karma aramayı ve yapay zeka temsilcisini temellendirerek yapay zeka halüsinasyonlarının en aza indirildiği veriyle artırılmış üretimi (RAG) öğrenin. Akıllı arama motorunuzu oluşturmak için Vertex AI Vector Search'ü uygulamalı olarak deneyin.
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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 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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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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