

دوراتنا

Understanding and Combining GKE Autoscaling Strategies
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will explore the benefits of different Google Kubernetes Engine autoscaling strategies, like Horizontal Pod Autoscaling and Vertical Pod Autoscaling for pod-level scaling, and Cluster Autoscaler and Node Auto Provisioning for node-level scaling.
-
Course by
-
Self Paced
-
2 ساعات
-
الإنجليزية

Automating the Deployment of Networks with Terraform
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you create a Terraform configuration with a module to automate the deployment of a custom network with resources.
-
Course by
-
Self Paced
-
1 ساعات
-
الإنجليزية

APIs Explorer: Cloud Storage
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will use the APIs Explorer tool to create Cloud Storage buckets, upload data to the bucket, and remove content from buckets.
-
Course by
-
Self Paced
-
1 ساعات
-
الإنجليزية

Cloud Composer: Qwik Start - Command Line
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you use Cloud Shell command line to create the Cloud Composer environment and set Composer environment variables. You then use Composer to run a workflow that verifies a data file, creates and runs an Apache Hadoop wordcount job on a Dataproc cluster, and deletes the cluster.
-
Course by
-
Self Paced
-
1 ساعات
-
الإنجليزية

Creating Cross-region Load Balancing
This is a self-paced lab that takes place in the Google Cloud console. This lab demonstrates how to create an HTTP(S) load balanced that forwards traffic to instances in two different regions.
-
Course by
-
Self Paced
-
1 ساعات
-
الإنجليزية

Optimizing Your Google Cloud Costs
Optimizing Your Google Cloud Costs is the second course in a two-part series on Google Cloud billing and cost management essentials. This course is most suitable for those in a Finance and/or IT related role responsible for optimizing their organization’s cloud infrastructure. You'll learn several ways to control and optimize your Google Cloud costs, including setting up budgets and alerts, managing quota limits, and taking advantage of committed use discounts.
-
Course by
-
Self Paced
-
7 ساعات
-
الإنجليزية

Google Cloud Storage - Bucket Lock
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you learn how to use Google Cloud Storage Bucket Lock to manage object retention.
-
Course by
-
Self Paced
-
1 ساعات
-
الإنجليزية

ML Pipelines on Google Cloud
In this course, you will be learning from ML Engineers and Trainers who work with the state-of-the-art development of ML pipelines here at Google Cloud. The first few modules will cover about TensorFlow Extended (or TFX), which is Google’s production machine learning platform based on TensorFlow for management of ML pipelines and metadata. You will learn about pipeline components and pipeline orchestration with TFX.
-
Course by
-
Self Paced
-
11 ساعات
-
الإنجليزية

Awwvision: Cloud Vision API from a Kubernetes Cluster
This is a self-paced lab that takes place in the Google Cloud console. This hands-on lab uses Kubernetes and Cloud Vision API to create an example of how to use the Vision API to classify (label) images from Reddit’s /r/aww subreddit and display the labelled results in a web app.
-
Course by
-
Self Paced
-
1 ساعات
-
الإنجليزية

Predict Taxi Fare with a BigQuery ML Forecasting Model
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will explore millions of New York City yellow taxi cab trips available in a BigQuery Public Dataset, create an ML model inside of BigQuery to predict the fare, and evaluate the performance of your model to make predictions.
-
Course by
-
Self Paced
-
1 ساعات
-
الإنجليزية

Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion
This is a self-paced lab that takes place in the Google Cloud console. In this lab you’ll be working with Wrangler directives which are used by the Wrangler plugin, the “Swiss Army Knife” of plugins in the Data Fusion platform, so that your transformations are encapsulated in one place and we can group transformation tasks into manageable blocks.
-
Course by
-
Self Paced
-
2 ساعات
-
الإنجليزية

Dialogflow CX: Managing Environments
This is a self-paced lab that takes place in the Google Cloud console. Most businesses go through different phases of project development and production cycles. Effective maintainance of these projects require systems and processes to manage versions and environments. Dialogflow provides tools within the UI for managing multiple versions and loading specific versions to dedicated environments, which allows usage for different purposes (and perhaps by different teams). In this lab you'll explore the management of Dialogflow versions and environments.
-
Course by
-
Self Paced
-
1 ساعات
-
الإنجليزية

Distributed Multi-worker TensorFlow Training on Kubernetes
This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab you will explore using Google Cloud Kubernetes Engine and Kubeflow TFJob to scale out TensorFlow distributed training.…
-
Course by
-
Self Paced
-
الإنجليزية

A Tour of Google Cloud Sustainability
This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab, you will learn why Google Cloud is the cleanest cloud in the industry by exploring and utilizing sustainability tools..
-
Course by
-
Self Paced
-
1 ساعات
-
الإنجليزية

Build a Project Tracking App with AppSheet
This is a Google Cloud Self-Paced Lab. In this lab, you'll build a simple project tracking and approval application. AppSheet is a no-code development platform that lets anyone without coding experience build mobile and web applications. You can build AppSheet apps from data sources, such as Google Sheets, Excel, Cloud SQL, Salesforce, and other similar connectors. App user activity syncs to the connected data source(s).
-
Course by
-
Self Paced
-
1 ساعات
-
الإنجليزية

GKE Autopilot: Qwik Start
This is a self-paced lab that takes place in the Google Cloud console. GKE Autopilot provides a managed environment for deploying, managing, and scaling your containerized applications using Google infrastructure. Autopilot is a new managed mode of operation for Google Kubernetes Engine (GKE) in which Google creates, sizes, and automatically scales on your behalf the physical infrastructure needed to run your application workloads. In this lab, you get hands-on practice containerizing an application and deploying it to an Autopilot cluster using Kubernetes configuration and commands.
-
Course by
-
Self Paced
-
1 ساعات
-
الإنجليزية

Service Orchestration and Choreography on Google Cloud
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.
-
Course by
-
Self Paced
-
2 ساعات
-
الإنجليزية

Visualizing Billing Data with Google Data Studio
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will harness the power of Data Studio, where you will learn how to build billing graphs and charts so you can slice and dice your GCP bill the way you want.
-
Course by
-
Self Paced
-
1 ساعات
-
الإنجليزية

SingleStore on Google Cloud
This is a self-paced lab that takes place in the Google Cloud console. Learn how to deploy SingleStore DB, combine it with cloud native products like Pub/Sub, Dataflow and Cloud Storage, and interact with SingleStore once the data is ingested.
-
Course by
-
Self Paced
-
2 ساعات
-
الإنجليزية

Analytics as a Service for Data Sharing Partners
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how Authorized Views in BigQuery can be shared and consumed to create customer-specific dashboards.
-
Course by
-
Self Paced
-
1 ساعات
-
الإنجليزية

APIs Explorer: Compute Engine
This is a self-paced lab that takes place in the Google Cloud console. Use the APIs Explorer to create a Compute Engine instance, then use Cloud monitoring to monitor the CPU usage.
-
Course by
-
Self Paced
-
1 ساعات
-
الإنجليزية

Prisma Cloud Host Defender Auto Deploy from a SaaS Portal
This is a self-paced lab that takes place in the Google Cloud console. This lab is designed for Prisma Cloud customers, and you will deploy Prisma Cloud Host Defender from Google Cloud Marketplace. Having a Prisma Cloud …
-
Course by
-
Self Paced
-
الإنجليزية

Managing SMB Workloads and Optimizing Storage Usage with NetApp Cloud Manager & Cloud Volumes ONTAP
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to leverage NetApp Cloud Volumes ONTAP for SMB workloads.
-
Course by
-
Self Paced
-
2 ساعات
-
الإنجليزية

Modular Load Balancing with Terraform - Regional Load Balancer
This is a self-paced lab that takes place in the Google Cloud console. This lab will demonstrate how to use the Regional Load Balancer GCP Terraform modules for setting up various load balancers.
-
Course by
-
Self Paced
-
1 ساعات
-
الإنجليزية

Looker Developer - Qwik Start
This is a Google Cloud Self-Paced Lab. In this lab, you will learn about the fundamental LookML structures, create a view, and join the new view to an existing explore.
-
Course by
-
Self Paced
-
1 ساعات
-
الإنجليزية