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Google Cloud에서 개발자를 대상으로 한 980개 이상의 학습 활동을 선택할 수 있는 포괄적인 카탈로그를 설계했습니다. 이 카탈로그는 개발자가 선택할 수 있는 다양한 활동 형식으로 구성되어 있습니다. 짧은 분량의 개별 실습 또는 동영상, 문서, 실습, 퀴즈로 구성된 멀티 모듈 과정 중에서 선택하세요. 실습에서는 실제 클라우드 리소스에 대한 임시 사용자 인증 정보를 제공하므로 실제 리소스를 사용하여 Google Cloud를 알아볼 수 있습니다. 이수한 과정의 배지를 획득하고 Google Cloud 성과를 정의, 추적, 측정하세요.

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결과 349개

  1. 과정 추천

    Infrastructure and Application Modernization with Google Cloud

    Many traditional enterprises use legacy systems and applications that often struggle to achieve the scale and speed needed to meet modern customer expectations. Business leaders and IT decision makers constantly have to choose between maintenance of legacy systems and investing in innovative new products and servi…

  2. 실습 추천

    Programming Spanner Applications with Python

    In this lab, you run the Python code to create Spanner instances and databases. You also see how to create, retrieve, and delete records from databases using both the Google Standard SQL and PostgreSQL dialects.

  3. 과정 추천

    Hybrid Cloud Modernizing Applications with Anthos

    Course four of the Anthos series prepares students to consider multiple approaches for modernizing applications and services within Anthos environments. Topics include optimizing workloads on serverless platforms and migrating workloads to Anthos. This course is a continuation of course three, Anthos on Bare Metal…

  4. 과정 추천

    Build Real World AI Applications with Gemini and Imagen

    Complete the introductory Build Real World AI Applications with Gemini and Imagen skill badge to demonstrate skills in the following: image recognition, natural language processing, image generation using Google's powerful Gemini and Imagen models, deploying applications on the Vertex AI platform.

  5. 과정 추천

    Applying BigQuery ML's Classification, Regression, and Demand Forecasting for Retail Applications

    In this course you will learn how to use several BigQuery ML features to improve retail use cases. Predict the demand for bike rentals in NYC with demand forecasting, and see how to use BigQuery ML for a classification task that predicts the likelihood of a website visitor making a purchase.

  6. 실습 추천

    Build a Multi-Modal GenAI Application: Challenge Lab

    This challenge lab evaluates your understanding of Google's Vertex AI SDK for integrating generative AI models to build an Image generator app, and an app which enables you to ask questions about images and receive insightful text-based responses.

  7. 실습 추천

    Integrate Search in Applications using Vertex AI Agent Builder

    This lab is part of a series designed to provide hands-on experience with Generative AI on Google Cloud.

  8. 실습 추천

    Build an application to send Chat Prompts using the Gemini model

    In this lab, you will learn how to use Google's Vertex AI SDK to interact with the powerful Gemini generative AI model, enabling you to send text based chat prompts as an input and receive personalized streaming and non-streaming chat responses.

  9. 실습 추천

    App Dev: Storing Application Data in Cloud Datastore - Python

    In this lab, you will review the case study application, an online Quiz. You will store application data for the Quiz application in Cloud Datastore.

  10. 실습 추천

    Firebase로 서버리스 웹 앱 빌드하기

    이 실습에서는 Firebase를 사용하여 사용자가 가상의 Pet Theory 병원에 정보를 업로드하고 방문 일정을 예약할 수 있는 서버리스 웹 앱을 만들어 봅니다.