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LEE SEUNGJUN
Member since 2023
Google Cloud 的 AI 和機器學習服務簡介
Earned Sep 13, 2024 EDT
在 Google Cloud 部署 Kubernetes 應用程式
Earned Aug 10, 2024 EDT
Preparing for your Professional Data Engineer Journey
Earned Jul 14, 2024 EDT
在 Google Cloud 整合應用程式與 Gemini 1.0 Pro
Earned Jul 14, 2024 EDT
Developing Applications with Cloud Run on Google Cloud: Fundamentals
Earned Jul 13, 2024 EDT
Developing Containerized Applications on Google Cloud
Earned Jul 13, 2024 EDT
Developing Applications with Cloud Run Functions on Google Cloud
Earned Jul 11, 2024 EDT
Service Orchestration and Choreography on Google Cloud
Earned Jul 10, 2024 EDT
Developing Applications with Google Cloud: Foundations
Earned Jul 10, 2024 EDT
Developing a Google SRE Culture
Earned Jul 9, 2024 EDT
App Deployment, Debugging, and Performance
Earned Jul 8, 2024 EDT
Google Cloud 基礎知識：核心基礎架構
Earned Jul 8, 2024 EDT
本課程介紹 Google Cloud 的 AI 和機器學習 (ML) 功能，著重說明如何開發生成式和預測式 AI 專案。我們也會探討「從資料到 AI」整個生命週期都適用的技術、產品和工具，並透過互動式練習，協助資料科學家、AI 開發人員和機器學習工程師精進專業知識。
This course helps learners create a study plan for the PDE (Professional Data Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
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這個簡短的課程會說明如何在 Google Cloud 整合應用程式與 Gemini 1.0 Pro 模型，讓您瞭解 Gemini API 及其生成式 AI 模型，並學習如何透過程式碼存取 Gemini 1.0 Pro 和 Gemini 1.0 Pro Vision 模型。另外，您會在應用程式中使用文字、圖片和影片提示，測試模型的功能。
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This course introduces the Cloud Run serverless platform for running applications.
In this course, you learn about the fundamentals of Cloud Run, its resource model and the container lifecycle.
You learn about service identities, how to control access to services, and how to develop and test your
application locally before deploying it to Cloud Run. The course also teaches you how to integrate
with other services on Google Cloud so you can build full-featured applications.
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In this course, you learn about containers and how to build, and package container images. The content in this course includes best practices for creating and securing containers, and provides an introduction to Cloud Run and Google Kubernetes Engine for application developers.
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In this course, you learn about Cloud Run functions, Google's serverless, fully-managed functions as a service (FaaS) product that lets you implement single-purpose function code that reponds to HTTP requests and events from your cloud infrastructure.
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This course introduces you to event-based applications and teaches you how to use service orchestration and choreography to coordinate microservices. Using lectures and hands-on labs, you learn how to use Workflows, Eventarc, Cloud Tasks, and Cloud Scheduler to build microservices applications on Google Cloud.
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In this course, you learn the fundamentals of application development on Google Cloud. You learn best practices for cloud applications, and how to select compute and data options to match your application use cases. You're introduced to generative AI and how it's used to help build applications. You learn about authentication and authorization, application deployment, continuous integration and delivery, and monitoring and performance tuning for your applications running in Google Cloud. Using lectures and hands-on labs, you learn how to get started building and running applications on Google Cloud.
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In many IT organizations, incentives are not aligned between developers, who strive for agility, and operators, who focus on stability. Site reliability engineering, or SRE, is how Google aligns incentives between development and operations and does mission-critical production support. Adoption of SRE cultural and technical practices can help improve collaboration between the business and IT. This course introduces key practices of Google SRE and the important role IT and business leaders play in the success of SRE organizational adoption.
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In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate components from the Google Cloud ecosystem. Through a combination of presentations, demos, and hands-on labs, participants learn how to create repeatable deployments by treating infrastructure as code, choose the appropriate application execution environment for an application, and monitor application performance.
Completing one version of each lab is required. Each lab is available in Node.js. In most cases, the same labs are also provided in Python or Java. You may complete each lab in whichever language you prefer.
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「Google Cloud 基礎知識：核心基礎架構」介紹了在使用 Google Cloud 時會遇到的重要概念和術語。本課程會透過影片和實作實驗室，介紹並比較 Google Cloud 的多種運算和儲存服務，同時提供重要的資源和政策管理工具。
Google Cloud 的 AI 和機器學習服務簡介
Earned Sep 13, 2024 EDT
在 Google Cloud 部署 Kubernetes 應用程式
Earned Aug 10, 2024 EDT
Preparing for your Professional Data Engineer Journey
Earned Jul 14, 2024 EDT
在 Google Cloud 整合應用程式與 Gemini 1.0 Pro
Earned Jul 14, 2024 EDT
Developing Applications with Cloud Run on Google Cloud: Fundamentals
Earned Jul 13, 2024 EDT
Developing Containerized Applications on Google Cloud
Earned Jul 13, 2024 EDT
Developing Applications with Cloud Run Functions on Google Cloud
Earned Jul 11, 2024 EDT
Service Orchestration and Choreography on Google Cloud
Earned Jul 10, 2024 EDT
Developing Applications with Google Cloud: Foundations
Earned Jul 10, 2024 EDT
Developing a Google SRE Culture
Earned Jul 9, 2024 EDT
App Deployment, Debugging, and Performance
Earned Jul 8, 2024 EDT
Google Cloud 基礎知識：核心基礎架構
Earned Jul 8, 2024 EDT