Shubham Kumar
成为会员时间:2019
白银联赛
6700 积分
成为会员时间:2019
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。 「技能徽章」是 Google Cloud 核發的獨家數位徽章, 用於肯定您在 Google Cloud 產品與服務方面的精熟技能, 並代表您已通過測驗, 能在互動式實作環境中應用相關知識。完成這個課程及結業評量挑戰實驗室, 即可取得數位徽章並與他人分享。
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.
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。 「技能徽章」是 Google Cloud 核發的獨家數位徽章,用於肯定 您對 Google Cloud 產品和服務的精通程度,代表您已通過測驗, 能在互動式實作環境中應用相關知識。完成這個技能徽章課程和 結業評量挑戰研究室,即可取得技能徽章並 與親友分享。
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。 「技能徽章」是 Google Cloud 核發的獨家數位徽章,用於表彰您相當熟悉 Google Cloud 產品與服務,並已通過測驗,能在互動式實作環境中應用相關知識。只要完成這個技能徽章課程和最終評量挑戰研究室,即可取得技能徽章並與親友分享成就。
Earn the advanced skill badge by completing the Use Machine Learning APIs on Google Cloud course, where you learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Translation API, and Cloud Natural Language API.
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。 「技能徽章」是 Google Cloud 核發的獨家數位徽章, 用於肯定您在 Google Cloud 產品和服務方面的精通程度, 代表您已通過測驗,能在互動式實作環境中應用相關知識。完成 這個技能徽章課程和結業評量挑戰實驗室,即可取得數位徽章 並與他人分享。
完成 從 BigQuery 資料取得深入分析結果 技能徽章入門課程,即可證明您具備下列技能: 撰寫 SQL 查詢、查詢公開資料表、將樣本資料載入 BigQuery、使用 BigQuery 的查詢驗證工具 排解常見語法錯誤,以及在 Looker Studio 中 透過連結 BigQuery 資料建立報表。 「技能徽章」是 Google Cloud 核發的獨家數位徽章, 用於肯定您在 Google Cloud 產品和服務方面的精通程度,代表您已通過測驗,能在互動式實作環境中應用相關 知識。完成本技能徽章課程及結業評量挑戰 實驗室,即可取得技能徽章並與他人分享。
This quest of "Challenge Labs" gives the student preparing for the Google Cloud Certified Professional Cloud Architect certification hands-on practice with common business/technology solutions using Google Cloud architectures. Challenge Labs do not provide the "cookbook" steps, but require solutions to be built with minimal guidance, across many Google Cloud technologies. All labs have activity tracking, and in order to earn this badge you must score 100% in each lab. This quest is not easy and will put your Google Cloud technology skills to the test! Be aware that while practice with these labs will increase your knowledge and abilities, additional study, experience, and background in cloud architecture is recommended to prepare for this certification. Complete this quest to receive an exclusive Google Cloud digital badge.
完成使用 BigQuery ML 為預測模型進行資料工程技能徽章中階課程, 即可證明自己具備下列知識與技能:運用 Dataprep by Trifacta 建構連至 BigQuery 的資料轉換 pipeline; 使用 Cloud Storage、Dataflow 和 BigQuery 建構「擷取、轉換及載入」(ETL) 工作負載, 以及使用 BigQuery ML 建構機器學習模型。技能 徽章是 Google Cloud 核發的獨家數位徽章, 用於肯定您在 Google Cloud 產品和服務方面的精熟技能, 代表您已通過測驗,能在互動式實作環境中應用相關知識。完成 這個課程及結業評量挑戰實驗室,即可取得數位徽章 並與他人分享。
完成 在 Google Cloud 為機器學習 API 準備資料 技能徽章入門課程,即可證明您具備下列技能: 使用 Dataprep by Trifacta 清理資料、在 Dataflow 執行資料管道、在 Dataproc 建立叢集和執行 Apache Spark 工作,以及呼叫機器學習 API,包含 Cloud Natural Language API、Google Cloud Speech-to-Text API 和 Video Intelligence API。 「技能徽章」是 Google Cloud 核發的獨家數位徽章,用於肯定您在 Google Cloud 產品與服務方面的精通程度, 代表您已通過測驗,能在互動式實作環境中應用相關知識。完成本技能徽章課程及結業評量挑戰研究室, 即可取得技能徽章並與他人分享。
完成 在 Compute Engine 實作負載平衡功能 技能徽章入門課程,即可證明您具備下列技能: 編寫 gcloud 指令和使用 Cloud Shell、在 Compute Engine 建立及部署虛擬機器, 以及設定網路和 HTTP 負載平衡器。 「技能徽章」是 Google Cloud 核發的 獨家數位徽章,用於肯定您在 Google Cloud 產品與服務方面的精通程度, 代表您已通過測驗,能在互動式實作環境中應用相關 知識。完成這個課程及挑戰研究室 最終評量,即可取得技能徽章並與親友分享。
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。 「技能徽章」是 Google Cloud 核發的獨家數位徽章,用於肯定您在 Google Cloud 產品和服務方面的精通程度, 代表您已通過測驗,能在互動式實作環境中應用相關知識。 完成這個課程及結業評量挑戰研究室,即可取得技能徽章並與親友分享。
In this introductory-level course, you get hands-on practice with the Google Cloud’s fundamental tools and services. Optional videos are provided to provide more context and review for the concepts covered in the labs. Google Cloud Essentials is a recommendeded first course for the Google Cloud learner - you can come in with little or no prior cloud knowledge, and come out with practical experience that you can apply to your first Google Cloud project. From writing Cloud Shell commands and deploying your first virtual machine, to running applications on Kubernetes Engine or with load balancing, Google Cloud Essentials is a prime introduction to the platform’s basic features.
In this game you will get hands on with Kubernetes and other GCP services as well. We hope you have fun with this game. Challenge yourself to complete each task as quickly and accurately as possible to score points and earn badges! Good Luck!
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。
大數據、機器學習和人工智慧 (AI) 是時下熱門的 電腦相關話題,但這些領域相當專業,就算想要入門 也難以取得教材或資料。幸好,Google Cloud 提供了此領域的多種服務,而且容易使用。 參加這堂入門課程,您就能踏出第一步, 開始學習運用 BigQuery、Cloud Speech API 以及 Video Intelligence 等工具。
Google Cloud Application Programming Interfaces are the mechanism to interact with Google Cloud Services programmatically. This quest will give you hands-on practice with a variety of GCP APIs, which you will learn through working with Google’s APIs Explorer, a tool that allows you to browse APIs and run their methods interactively. By learning how to transfer data between Cloud Storage buckets, deploy Compute Engine instances, configure Dataproc clusters and much more, Exploring APIs will show you how powerful APIs are and why they are used almost exclusively by proficient GCP users. Enroll in this quest today.
The hands-on labs in this Quest are structured to give experienced app developers hands-on practice with the state-of-the-art developing applications in Google Cloud. The topics align with the Google Cloud Certified Professional Cloud Developer Certification. These labs follow the sequence of activities needed to create and deploy an app in Google Cloud from beginning to end. Be aware that while practice with these labs will increase your skills and abilities, it is recommended that you also review the exam guide and other available preparation resources.
The Google Cloud Platform provides many different frameworks and options to fit your application’s needs. In this introductory-level quest, you will get plenty of hands-on practice deploying sample applications on Google App Engine. You will also dive into other web application frameworks like Firebase, Wordpress, and Node.js and see firsthand how they can be integrated with Google Cloud.
When it comes to hosting websites and web applications, you want a framework that’s robust, fast, and secure. By choosing the Google Cloud Platform, you will have all of those needs covered. In this fundamental-level quest, you will get hands-on practice with GCPs key infrastructure and computing services for the web. From deploying your first web app, to integrating Cloud SQL with Ruby on Rails, to mapping the NYC subway system on App Engine, you will learn all the skills needed to harness GCPs web hosting power.
In this introductory-level quest, you will learn the fundamentals of developing and deploying applications on the Google Cloud Platform. You will get hands-on experience with the Google App Engine framework by launching applications written in languages like Python, Ruby, and Java (just to name a few). You will see first-hand how straightforward and powerful GCP application frameworks are, and how easily they integrate with GCP database, data-loss prevention, and security services.