Generative AI for Business Leaders
Advertising with Meta
How Google does Machine Learning
دوراتنا
Looker Data Explorer - Qwik Start
This is a Google Cloud Self-Paced Lab. In this lab, you will create a series of visualizations from the Airports and Flights datasets and save them to a dashboard in Looker.
-
Course by
-
Self Paced
-
1 ساعات
-
الإنجليزية
Securing Web Applications with Web Security Scanner
This is a self-paced lab that takes place in the Google Cloud console. Web Security Scanner identifies security vulnerabilities in your Google App Engine web applications. It crawls your application, following all links…
-
Course by
-
Self Paced
-
الإنجليزية
Continuous Delivery with Google Cloud Deploy
This is a self-paced lab that takes place in the Google Cloud console. Create a delivery pipeline using Google Cloud Deploy, create a release for a basic application, and promote the application through a series of Google Kubernetes Engine targets
-
Course by
-
Self Paced
-
1 ساعات
-
الإنجليزية
Securing a Cloud SQL for PostgreSQL Instance
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will deploy a new Cloud SQL instance using a customer-managed encryption key (CMEK). You will configure pgAudit to selectively record and track SQL operations performed against that instance, then you will configure and test Cloud SQL IAM database authentication.
-
Course by
-
Self Paced
-
1 ساعات
-
الإنجليزية
Optimizing Performance of LookML Queries
This is a Google Cloud Self-Paced Lab. In this lab, you'll learn the best methods to optimize query performance in Looker. Looker is a modern data platform in Google Cloud that you can use to analyze and visualize your data interactively. You can use Looker to do in-depth data analysis, integrate insights across different data sources, build actionable data-driven workflows, and create custom data applications. Big, complex queries can be costly, and running them repeatedly strains your database, thereby reducing performance.
-
Course by
-
Self Paced
-
2 ساعات
-
الإنجليزية
Running Distributed TensorFlow using Vertex AI
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will use TensorFlow's distribution strategies and the Vertex AI platform to train and deploy a custom TensorFlow image classification model to classify an image classification dataset.
-
Course by
-
Self Paced
-
2 ساعات
-
الإنجليزية
Exploring Cost-optimization for GKE Virtual Machines
This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab, you’ll learn how to determine and select the the most cost effective machine type for a GKE application. You will also explore the pros and cons of a multi-zonal cluster.
-
Course by
-
Self Paced
-
2 ساعات
-
الإنجليزية
Google Cloud IAM and Networking for Azure Professionals
This is the first course of a four-course series for cloud architects and engineers with existing Azure knowledge, and it compares Google Cloud and Azure solutions and guides professionals on their use. This course focuses on Identity and Access Management (IAM) and networking in Google Cloud. The learners apply the knowledge of access management and networking in Azure to explore the similarities and differences with access management and networking in Google Cloud. Learners get hands-on practice building and managing Google Cloud resources.
-
Course by
-
Self Paced
-
4 ساعات
-
الإنجليزية
Troubleshooting and Solving Data Join Pitfalls
This is a self-paced lab that takes place in the Google Cloud console. This lab focuses on how to reverse-engineer the relationships between data tables and the pitfalls to avoid when joining them together.
-
Course by
-
Self Paced
-
1 ساعات
-
الإنجليزية
Using Role-based Access Control in Kubernetes Engine
This is a self-paced lab that takes place in the Google Cloud console. After provisioning two service accounts to represent user personas and three namespaces for dev, test, and prod, you will test the access controls of the personals in each namespace.
-
Course by
-
Self Paced
-
1 ساعات
-
الإنجليزية
Set Up and Configure a Cloud Environment in Google Cloud - Azure: Challenge Lab
This is a self-paced lab that takes place in the Google Cloud console. This challenge lab tests your skills and knowledge from the labs in the Kubernetes in Google Cloud quest. You should be familiar with the content of the labs before attempting this lab.
-
Course by
-
Self Paced
-
1 ساعات
-
الإنجليزية
Dart Functions Framework
This is a self-paced lab that takes place in the Google Cloud console.
Explore using Dart Function Frameworks in a Flutter application. Example based on this demo.
-
Course by
-
Self Paced
-
1 ساعات
-
الإنجليزية
Building Virtual Agent Fulfillment
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will continue working on your Pigeon Travel chat agent and add context as well as setup fulfillment to lookup and store reservations entries in Firestore.
-
Course by
-
Self Paced
-
2 ساعات
-
الإنجليزية
Log Analytics on Google Cloud
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to use Cloud Logging to analyze your logs.
-
Course by
-
Self Paced
-
1 ساعات
-
الإنجليزية
Network Tiers - Optimizing Network Spend
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you create one VM in the premium network service tier (default) and one VM in the standard network service tier. Then you compare the latency and routes for each VM instance.
-
Course by
-
Self Paced
-
1 ساعات
-
الإنجليزية
Architecting with Google Kubernetes Engine: Foundations 한국어
Architecting with Google Kubernetes Engine: Foundations' 과정에서는 Google Cloud의 레이아웃 및 원리를 살펴본 후 소프트웨어 컨테이너를 생성 및 관리하는 방법과 Kubernetes 아키텍처에 대해 알아봅니다. Architecting with Google Kubernetes Engine 시리즈의 첫 번째 과정입니다. 이 과정을 이수한 후 Architecting with Google Kubernetes Engine: Workloads 과정에 등록하세요.
-
Course by
-
Self Paced
-
الكورية
Building Resilient Streaming Analytics Systems on GCP en Español
El procesamiento de datos de transmisión es cada vez más popular, puesto que permite a las empresas obtener métricas en tiempo real sobre las operaciones comerciales. Este curso aborda cómo crear canalizaciones de datos de transmisión en Google Cloud. Pub/Sub se describe para manejar los datos de transmisión entrantes. El curso también aborda cómo aplicar agregaciones y transformaciones a los datos de transmisión con Dataflow y cómo almacenar los registros procesados en BigQuery o Bigtable para analizarlos.
-
Course by
-
Self Paced
-
الإسبانية
Serverless Data Analysis with Google BigQuery and Cloud Dataflow em Português Brasileiro
Este curso rápido sob demanda tem uma semana de duração e é baseado no Google Cloud Platform Big Data and Machine Learning Fundamentals.
-
Course by
-
Self Paced
-
البرتغالي
Google Cloud Fundamentals: Core Infrastructure 한국어
Google Cloud Fundamentals: Core Infrastructure 과정은 Google Cloud 사용에 관한 중요한 개념 및 용어를 소개합니다. 이 과정에서는 동영상 및 실무형 실습을 통해 중요한 리소스 및 정책 관리 도구와 함께 Google Cloud의 다양한 컴퓨팅 및 스토리지 서비스를 살펴보고 비교합니다.
-
Course by
-
Self Paced
-
الكورية
Google Cloud Platform Big Data and Machine Learning Fundamentals em Português Brasileiro
Neste curso, apresentamos os produtos e serviços de Big Data e machine learning do Google Cloud que dão suporte ao ciclo de vida de dados para IA. Nele, você verá os processos, desafios e benefícios de criar um pipeline de Big Data e modelos de machine learning com a Vertex AI no Google Cloud.
-
Course by
-
Self Paced
-
البرتغالي
How Google does Machine Learning em Português Brasileiro
"Quais são as práticas recomendadas para implementar machine learning no Google Cloud? O que é Vertex AI e como é possível usar a plataforma para criar, treinar e implantar modelos de machine learning do AutoML com rapidez e sem escrever nenhuma linha de código? O que é machine learning e que tipos de problema ele pode resolver? O Google pensa em machine learning de uma forma um pouco diferente.
-
Course by
-
Self Paced
-
البرتغالي
Essential Cloud Infrastructure: Core Services dalam bahasa Indonesia
Kursus akselerasi sesuai permintaan ini memperkenalkan peserta pada infrastruktur dan layanan platform yang komprehensif dan fleksibel yang disediakan oleh Google Cloud, dengan fokus pada Compute Engine. Melalui kombinasi video materi edukasi, demo, dan lab praktis, peserta akan mengeksplorasi dan men-deploy berbagai elemen solusi, termasuk komponen infrastruktur seperti jaringan, sistem, dan layanan aplikasi. Kursus ini juga membahas cara men-deploy solusi praktis termasuk kunci enkripsi yang disediakan pelanggan, pengelolaan keamanan dan akses, kuota dan penagihan, serta pemantauan resource.
-
Course by
-
Self Paced
-
9 ساعات
-
إندونيسي
Elastic Cloud Infrastructure: Scaling and Automation 한국어
이 속성 주문형 과정에서는 참가자에게 Google Cloud에서 제공하는 포괄적이고 유연한 인프라 및 플랫폼 서비스를 소개합니다. 참가자는 동영상 강의, 데모, 실무형 실습이 결합된 이 과정을 통해 안전한 네트워크 상호 연결, 부하 분산, 자동 확장, 인프라 자동화, 관리형 서비스가 포함된 솔루션 요소를 살펴보고 배포할 수 있습니다.
-
Course by
-
Self Paced
-
الكورية
Reliable Cloud Infrastructure: Design and Process en Español
En este curso, los estudiantes aprenderán a crear soluciones altamente confiables y eficientes en Google Cloud usando patrones de diseño comprobados. Es la continuación de los cursos Architecting with Google Compute Engine o Architecting with Google Kubernetes Engine. Se presupone que los equipos tienen experiencia práctica con las tecnologías que se abordan en cualquiera de esos cursos.
-
Course by
-
Self Paced
-
الإسبانية
Essential Cloud Infrastructure: Foundation dalam bahasa Indonesia
Kursus akselerasi sesuai permintaan ini memperkenalkan peserta pada infrastruktur dan layanan platform yang komprehensif dan fleksibel yang disediakan oleh Google Cloud, dengan fokus pada Compute Engine. Melalui kombinasi video materi edukasi, demo, dan lab interaktif, peserta akan mengeksplorasi dan men-deploy berbagai elemen solusi, termasuk komponen infrastruktur seperti jaringan, mesin virtual, dan layanan aplikasi. Anda akan mempelajari cara menggunakan Google Cloud melalui Console dan Cloud Shell.
-
Course by
-
Self Paced
-
8 ساعات
-
إندونيسي