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Erion Criscente
Member since 2020
Silver League
7300 points
Build Apps & Websites with Firebase
Earned Feb 15, 2021 EST
基本概念：基礎架構
Earned Feb 15, 2021 EST
[DEPRECATED] Build Interactive Apps with Google Assistant
Earned Feb 12, 2021 EST
運用 Cloud Run 開發無伺服器應用程式
Earned Feb 12, 2021 EST
使用 Firebase 開發無伺服器應用程式
Earned Feb 11, 2021 EST
DEPRECATED Explore Machine Learning Models with Explainable AI
Earned Feb 10, 2021 EST
[DEPRECATED] Secure Workloads in Google Kubernetes Engine
Earned Feb 9, 2021 EST
在 Google Cloud 使用機器學習 API
Earned Feb 7, 2021 EST
在 Google Cloud 部署 Kubernetes 應用程式
Earned Feb 3, 2021 EST
運用 BigQuery ML 建立機器學習模型
Earned Jan 31, 2021 EST
從 BigQuery 資料取得深入分析結果
Earned Jan 27, 2021 EST
在 Google Cloud 為機器學習 API 準備資料
Earned Jan 22, 2021 EST
建立 Google Cloud 網路
Earned Jan 16, 2021 EST
在 Google Cloud 設定應用程式開發環境
Earned Jan 14, 2021 EST
在 Compute Engine 導入 Cloud Load Balancing
Earned Jan 13, 2021 EST
Google Cloud 必備知識
Earned Jan 13, 2021 EST
Firebase is a backend-as-service (Bass) platform for creating mobile and web applications. In this quest you will learn to build serverless web apps, import data into a serverless database, and build a Google Assistant application with Firebase and its Google Cloud integrations. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.
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如果您是剛起步的雲端開發人員， 想在 Google Cloud Essentials 外獲得更多實作經驗，歡迎參加本課程。您將透過實作實驗室， 深入瞭解 Cloud Storage 和其他重要應用程式服務，例如： Monitoring 和 Cloud Functions。您將習得 在任何 Google Cloud 專案都適用的寶貴技能。
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Earn a skill badge by completing the Build Interactive Apps with Google Assistant quest, where you will learn how to build Google Assistant applications, including how to: create an Actions project, integrate Dialogflow with an Actions project, test your application with Actions simulator, build an Assistant application with flash cards template, integrate customer MP3 files with your Assistant application, add Cloud Translation API to your Assistant application, and use APIs and integrate them into your applications. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the skill badge quest, and final assessment challenge lab, to receive a digital badge that you can share with your network.
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完成 運用 Cloud Run 開發無伺服器應用程式 技能徽章中階課程， 即可證明您具備下列技能：整合 Cloud Run 和 Cloud Storage 以管理資料、 使用 Cloud Run 和 Pub/Sub 架構可復原的非同步系統、 使用 Cloud Run 建構 REST API 閘道，以及在 Cloud Run 建構及部署服務。
Earn a skill badge by completing the Explore Machine Learning Models with Explainable AI quest, where you will learn how to do the following using Explainable AI: build and deploy a model to an AI platform for serving (prediction), use the What-If Tool with an image recognition model, identify bias in mortgage data using the What-If Tool, and compare models using the What-If Tool to identify potential bias. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge quest and the final assessment challenge lab to receive a skill badge that you can share with your network.
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Earn a skill badge by completing the Secure Workloads in Google Kubernetes Engine quest, where you learn about security at scale on Google Kubernetes Engine (GKE) including how to: migrate containers from virtual machines to Google Kubernetes Engine, restrict network connections in GKE using firewalls and Network Policies, use role-based access controls (RBAC) in GKE, use Binary Authorization for security controls of your images, secure applications in GKE using 3 access levels: host, network, Kubernetes API, and harden GKE cluster configurations. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge quest, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
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完成「在 Google Cloud 使用機器學習 API」課程，即可獲得進階技能徽章。本課程說明以下機器學習和 AI 技術的基本功能： Cloud Vision API、Cloud Translation API 和 Cloud Natural Language API。
Build Apps & Websites with Firebase
Earned Feb 15, 2021 EST
基本概念：基礎架構
Earned Feb 15, 2021 EST
[DEPRECATED] Build Interactive Apps with Google Assistant
Earned Feb 12, 2021 EST
運用 Cloud Run 開發無伺服器應用程式
Earned Feb 12, 2021 EST
使用 Firebase 開發無伺服器應用程式
Earned Feb 11, 2021 EST
DEPRECATED Explore Machine Learning Models with Explainable AI
Earned Feb 10, 2021 EST
[DEPRECATED] Secure Workloads in Google Kubernetes Engine
Earned Feb 9, 2021 EST
在 Google Cloud 使用機器學習 API
Earned Feb 7, 2021 EST
在 Google Cloud 部署 Kubernetes 應用程式
Earned Feb 3, 2021 EST
運用 BigQuery ML 建立機器學習模型
Earned Jan 31, 2021 EST
從 BigQuery 資料取得深入分析結果
Earned Jan 27, 2021 EST
在 Google Cloud 為機器學習 API 準備資料
Earned Jan 22, 2021 EST
建立 Google Cloud 網路
Earned Jan 16, 2021 EST
在 Google Cloud 設定應用程式開發環境
Earned Jan 14, 2021 EST
在 Compute Engine 導入 Cloud Load Balancing
Earned Jan 13, 2021 EST
Google Cloud 必備知識
Earned Jan 13, 2021 EST