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Kevin Blanco

成为会员时间:2020

白银联赛

8600 积分
[DEPRECATED] DEPRECATE Apigee Basic Earned Mar 16, 2021 EDT
Managing Cloud Infrastructure with Terraform Earned Aug 10, 2020 EDT
Google Cloud Solutions I: Scaling Your Infrastructure Earned Aug 10, 2020 EDT
建構安全的 Google Cloud 網路 Earned Jul 15, 2020 EDT
Automate Deployment and Manage Traffic on a Google Cloud Network Earned Jul 13, 2020 EDT
建立 Google Cloud 網路 Earned Jul 2, 2020 EDT
透過 Google Cloud 建構網站 Earned Jul 1, 2020 EDT
Website on Google Cloud Earned Jul 1, 2020 EDT
在 Google Cloud 部署 Kubernetes 應用程式 Earned Jun 26, 2020 EDT
設定 Google Cloud 網路 Earned Jun 22, 2020 EDT
在 Compute Engine 導入 Cloud Load Balancing Earned Jun 19, 2020 EDT
DEPRECATED Cloud Architecture Earned Jun 17, 2020 EDT
雲端工程 Earned Jun 17, 2020 EDT
在 Google Cloud 設定應用程式開發環境 Earned Jun 16, 2020 EDT
基本概念:基礎架構 Earned Jun 16, 2020 EDT
Intermediate ML: TensorFlow on Google Cloud Earned Jun 12, 2020 EDT
Intro to ML: Image Processing Earned Jun 11, 2020 EDT
DevOps 必備知識 Earned Jun 4, 2020 EDT
Google Cloud 中的 Kubernetes Earned Jun 3, 2020 EDT
Google Cloud 必備知識 Earned May 29, 2020 EDT
機器學習簡介:語言處理 Earned May 29, 2020 EDT

Apigee enables you to create APIs and manage them for the benefit of other developers who might need to use your software. Apigee Edge enables you to quickly expose backend services as APIs. These "API Products" offer different capabilities and levels of service, with consumption managed by Apigee. This Quest of hands-on labs gives you practice in using Apigee for API creation and management functionality when you decide to modernize an application backend.

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In this Quest, the experienced user of Google Cloud will learn how to describe and launch cloud resources with Terraform, an open source tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned. In these nine hands-on labs, you will work with example templates and understand how to launch a range of configurations, from simple servers, through full load-balanced applications.

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In this course you will learn how you to harness serious Google Cloud power and infrastructure. The hands-on labs will give you use cases and you will be tasked with implementing scaling practices utilized by Google’s very own Solutions Architecture team. From developing enterprise grade load balancing and autoscaling, to building continuous delivery pipelines, Google Cloud Solutions I: Scaling your Infrastructure will teach you best practices for taking your Google Cloud projects to the next level.

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完成「建構安全的 Google Cloud 網路」課程,即可獲得技能徽章。本課程將說明多項網路相關 資源,協助您在 Google Cloud 建構、調度資源和保護應用程式。

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Networking is a principle theme of cloud computing. It’s the underlying structure of Google Cloud, and it’s what connects all your resources and services to one another. This course will cover essential Google Cloud networking services and will give you hands-on practice with specialized tools for developing mature networks. From learning the ins-and-outs of VPCs, to creating enterprise-grade load balancers, Automate Deployment and Manage Traffic on a Google Cloud Network will give you the practical experience needed so you can start building robust networks right away.

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完成 建立 Google Cloud 網路 課程即可獲得技能徽章。這個課程將說明 部署及監控應用程式的多種方法,包括查看 IAM 角色及新增/移除 專案存取權、建立虛擬私有雲網路、部署及監控 Compute Engine VM、編寫 SQL 查詢、在 Compute Engine 部署及監控 VM,以及 使用 Kubernetes 透過多種方法部署應用程式。

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完成透過 Google Cloud 建構網站技能徽章課程,即可獲得入門級技能徽章。 本課程以 Get Cooking in Cloud 系列影片為基礎, 涵蓋以下主題:在 Cloud Run 部署網站在 Compute Engine 託管網頁應用程式在 Google Kubernetes Engine 建立、 部署及擴充網站使用 Cloud Build 將單體式應用程式遷移至微服務架構

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In this quest you will learn about the four Google Cloud website architectures available to ensure that your website is available and scalable. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, finish the additional challenge lab at the end of this Build a Website on Google Cloud to receive an exclusive Google Cloud digital badge. This quest is based on the video series Get Cooking in Cloud.

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完成 在 Google Cloud 部署 Kubernetes 應用程式 技能徽章中階課程,即可證明您具備下列技能: 設定及建構 Docker 容器映像檔、建立及管理 Google Kubernetes Engine (GKE) 叢集、運用 kubectl 有效 管理叢集,以及運用強大的持續推送軟體更新做法來部署 Kubernetes 應用程式。

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完成「設定 Google Cloud 網路」課程,即可獲得技能徽章。 您將瞭解如何在 Google Cloud Platform 執行基本的網路工作,包括建立自訂網路、新增子網路防火牆規則,還有建立 VM 並測試 VM 之間的通訊延遲。

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完成「在 Compute Engine 導入 Cloud Load Balancing」技能徽章入門課程,即可證明您具備下列技能: 在 Compute Engine 建立及部署虛擬機器, 以及設定網路和應用程式負載平衡器。

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This fundamental-level quest is unique amongst the other quest offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Cloud Architect Certification. From IAM, to networking, to Kubernetes engine deployment, this quest is composed of specific labs that will put your Google Cloud knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, we recommend that you also review the exam guide and other available preparation resources.

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本入門課程有別於其他課程。 透過這些實驗室,IT 專業人員將有機會實際練習, 熟悉出現在 Google Cloud 助理雲端工程師認證中的主題和服務。本課程包含多個專門的實驗室,從 IAM、網路建立 到 Kubernetes Engine 部署作業, 可全面驗收您的 Google Cloud 知識。請注意,雖然進行這些 實驗室可提升您的技能和能力,但仍建議同時詳閱 測驗指南和其他可用的準備資源。

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只要修完「在 Google Cloud 設定應用程式開發環境」課程,就能獲得技能徽章。 在本課程中,您將學會如何使用以下技術的基本功能,建構和連結以儲存空間為中心的雲端基礎架構:Cloud Storage、Identity and Access Management、Cloud Functions 和 Pub/Sub。

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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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TensorFlow is an open source software library for high performance numerical computation that's great for writing models that can train and run on platforms ranging from your laptop to a fleet of servers in the Cloud to an edge device. This quest takes you beyond the basics of using predefined models and teaches you how to build, train and deploy your own on Google Cloud.

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Using large scale computing power to recognize patterns and "read" images is one of the foundational technologies in AI, from self-driving cars to facial recognition. The Google Cloud Platform provides world class speed and accuracy via systems that can utilized by simply calling APIs. With these and a host of other APIs, GCP has a tool for just about any machine learning job. In this introductory quest, you will get hands-on practice with machine learning as it applies to image processing by taking labs that will enable you to label images, detect faces and landmarks, as well as extract, analyze, and translate text from within images.

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透過 DevOps 取得 競爭優勢。DevOps 作業涵蓋組織與文化層面,目標為加速推送軟體、 提高服務穩定性,並為所有軟體相關人員 建立共同擁有權。這堂課程說明如何使用 Google Cloud 提高軟體推送功能的速度、穩定性、可用性和安全性。 開發運作研究與評估計畫已新增至 Google Cloud。想知道自己的團隊表現如何嗎?完成 這個五道選擇題的測驗就能知道答案!

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Kubernetes 是最受歡迎的容器自動化調度管理系統,Google Kubernetes Engine 則專門支援 Google Cloud 中的 代管 Kubernetes 部署項目。這門進階課程將帶您實際練習設定 Docker 映像檔和容器,並部署完整的 Kubernetes Engine 應用程式。 您會學到如何將容器自動化調度管理機制, 整合到自己的工作流程,這些技巧相當實用。 想透過實作挑戰實驗室展現 技能、驗收學習成果嗎?本課程結束後,再完成 在 Google Cloud 部署 Kubernetes 應用程式課程 結尾的挑戰實驗室,即可獲得專屬 Google Cloud 數位徽章。

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在這堂入門課程,您將實際練習使用 Google Cloud 的基礎工具和服務。本課程包含可選擇觀賞的影片, 針對實驗室涵蓋的概念提供更多背景資訊,協助您複習。「Google Cloud 必備知識」 是適合 Google Cloud 學員的第一堂課, 即使您尚未學習或不熟悉雲端知識, 也能從這堂課獲得實務經驗,並應用於第一項 Google Cloud 專案。不管是撰寫 Cloud Shell 指令 和部署第一部虛擬機器,還是在 Kubernetes Engine 或透過負載平衡執行應用程式, 「Google Cloud 必備知識」都是認識平台基本功能的最佳入門資源。

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大家都知道,機器學習是發展最快的科技領域之一, 而 Google Cloud Platform 在這方面功不可沒。 GCP 提供多種 API,凡是與機器學習相關的任務,幾乎都能處理。您將在本入門課程的 實驗室,實際演練機器學習技術 在語言處理方面的應用,學會如何從文中擷取實體資訊、 執行情緒和語法分析,並使用 Speech-to-Text API 轉錄語音。

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