Generative AI for Business Leaders
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How Google does Machine Learning
دوراتنا
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.
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Course by
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Self Paced
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2 ساعات
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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.
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Course by
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Self Paced
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2 ساعات
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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.
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Course by
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Self Paced
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2 ساعات
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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.
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Course by
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Self Paced
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1 ساعات
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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
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Course by
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Self Paced
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1 ساعات
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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…
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Self Paced
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الإنجليزية
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.
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Course by
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Self Paced
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1 ساعات
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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.
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Course by
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Self Paced
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1 ساعات
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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.
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Course by
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Self Paced
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1 ساعات
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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.
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Course by
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Self Paced
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2 ساعات
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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 …
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Course by
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Self Paced
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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.
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Course by
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Self Paced
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1 ساعات
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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.
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Course by
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Self Paced
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11 ساعات
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الإنجليزية
Building Batch Pipelines in Cloud Data Fusion
This is a self-paced lab that takes place in the Google Cloud console. This lab will teach you how to use the Pipeline Studio in Cloud Data Fusion to build an ETL pipeline. Pipeline Studio exposes the building blocks and built-in plugins for you to build your batch pipeline, one node at a time. You will also use the Wrangler plugin to build and apply transformations to your data that goes through the pipeline.
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Google Meet: Getting Started
This is a Google Cloud Self-Paced Lab. Use Google Meet to hold impromptu video meetings, virtual training classes around the world, remote interviews, and much more. You can complete this lab in 10-15 minutes or use the extra time to explore Google Meet features.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Google Cloud Pub/Sub: Qwik Start - Console
This is a self-paced lab that takes place in the Google Cloud console. This hands-on lab shows you how to publish and consume messages with a pull subscriber, using the Google Cloud Platform Console. Watch the short video Simplify Event Driven Processing with Cloud Pub/Sub.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Prisma Cloud: Securing GKE Run Time
This is a self-paced lab that takes place in the Google Cloud console. This is Part 1 in the Prisma Cloud Compute Lab Series. You will use Prisma Cloud Compute from Palo Alto Networks to secure runtime aspects of a Google Kubernetes Engine (GKE) cluster.
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
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.
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Course by
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Self Paced
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2 ساعات
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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.
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Course by
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Self Paced
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1 ساعات
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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.
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Course by
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Self Paced
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1 ساعات
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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.
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Course by
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Self Paced
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1 ساعات
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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.
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Course by
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Self Paced
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1 ساعات
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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.
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Course by
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Self Paced
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7 ساعات
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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.
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Course by
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Self Paced
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1 ساعات
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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.
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Course by
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Self Paced
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2 ساعات
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الإنجليزية