Generative AI for Business Leaders
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How Google does Machine Learning
دوراتنا
Google Kubernetes Engine Pipeline using Cloud Build
This is a self-paced lab that takes place in the Google Cloud console. Create a CI/CD pipeline that automatically builds a container image, stores the image in Artifact Registry, updates a Kubernetes manifest in a Git repository, and deploys the application to Google Kubernetes Engine.
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Examining BigQuery Billing Data in Google Sheets
This is a Google Cloud Self-Paced Lab. Use Google Sheets data connector to harness the power of BigQuery. The Sheets data connector lets you access and use data analytic functions to run queries and analyze data. You could create a Sheet to access and analyze your sales data, for example, then configure your Sheet to always reflect current data.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Use Charts in Google Sheets
This is a self-paced lab that takes place in the Google Cloud console. Learn to create pie charts, column charts, combo charts and scatter charts in Google Sheets. You also create sparklines and progress bars and learn how to share your spreadsheet in Google Slides and over the web.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Teaching with Google Classroom
This is a self-paced lab that takes place in the Google Cloud console.
As a teacher with Google Workspace for Education, use Google Classroom to set up a class; set up communication with Gmail and Google Meet through the class page; create assignments; and use Calendar to keep the class on schedule and students aware of deadlines.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Cloud Run Canary Deployments
his is a self-paced lab that takes place in the Google Cloud console. Implement a deployment pipeline for Cloud Run that executes a progression of code from developer branches to production with automated canary testing and percentage based traffic management.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Migrating On-premises MySQL Using a Continuous Database Migration Service Job
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you migrate an on-premises MySQL database (running on a virtual machine) to Cloud SQL for MySQL using a continuous Database Migration Service job and VPC peering for connectivity. After you create and run the migration job, you confirm that an initial copy of your database has been successfully migrated to your Cloud SQL for MySQL instance. Then, you explore how continuous migration jobs continue to apply data updates from your source database to your Cloud SQL instance until you choose to complete the job.
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Loading Data into Google Cloud SQL
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will import data from CSV text files into Cloud SQL and then carry out some basic data analysis using simple queries.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Clinical Natural Language Processing
This course teaches you the fundamentals of clinical natural language processing (NLP). In this course you will learn the basic linguistic principals underlying NLP, as well as how to write regular expressions and handle text data in R. You will also learn practical techniques for text processing to be able to extract information from clinical notes. Finally, you will have a chance to put your skills to the test with a real-world practical application where you develop text processing algorithms to identify diabetic complications from clinical notes.
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Course by
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Self Paced
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13 ساعات
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الإنجليزية
Connect an App to 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 create a Kubernetes cluster and deploy a simple application to that cluster. Then, connect the application to the supplied Cloud SQL for PostgreSQL database instance and confirm that it is able to write to and read from it.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Measuring and Improving Speech Accuracy
This is a self-paced lab that takes place in the Google Cloud console. With this lab and Google’s tools you can learn how to get the best possible quality from the Speech-to-Text systems on your specific data.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Getting Started with Splunk Cloud GDI on Google Cloud
This is a self-paced lab that takes place in the Google Cloud console. A step-by-step guide through the process to configure multiple methods to ingest Google Cloud data into Splunk. In this hands-on lab you'll learn how to configure Google Cloud to send logging and other infrastructure data to Splunk Cloud via Dataflow, the Splunk Add-on for Google Cloud Platform, and Splunk Connect for Kubernetes (SC4K).
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
TFX on Google Cloud Vertex Pipelines
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will develop, deploy, and run a TFX pipeline on Google Cloud Vertex Pipelines.
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Preparing for Your Associate Cloud Engineer Journey
This course helps you structure your preparation for the Associate Cloud Engineer exam. You will learn about the Google Cloud domains covered by the exam and how to create a study plan to improve your domain knowledge.
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Course by
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Self Paced
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4 ساعات
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الإنجليزية
Hardening Default GKE Cluster Configurations
This is a self-paced lab that takes place in the Google Cloud console. This lab demonstrates some of the security concerns of a default GKE cluster configuration and the corresponding hardening measures to prevent multiple paths of pod escape and cluster privilege escalation
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Deploy Kubernetes Load Balancer Service with Terraform
This is a self-paced lab that takes place in the Google Cloud console. In Terraform, a Provider is the logical abstraction of an upstream API. This lab will show you how to setup a Kubernetes cluster and deploy Load Balancer type Nginx service on it.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Data Publishing on BigQuery 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 to share datasets and publish datasets with BigQuery.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Create and Test a Document AI Processor
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you learn how to to create and use document processors using the Document AI API.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Dart: Variables, Data Structures, Objects, and Conditionals
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn more about the basics of Dart. Build on your knowledge of Dart development…
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Course by
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Self Paced
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الإنجليزية
Deploy and Monitor in Google Cloud for Azure Professionals
This is the fourth course of a four-course series for cloud architects and engineers with existing Azure knowledge. It compares Google Cloud and Azure solutions and guides professionals on their use. This course focuses on deploying and monitoring applications in Google Cloud. The learners apply the knowledge of monitoring and application deployment process in Azure to explore the differences with Google Cloud. Learners get hands-on practice building and managing Google Cloud resources.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
Data Studio: Qwik Start
This is a self-paced lab that takes place in the Google Cloud console. Data Studio lets you create dynamic, visually compelling reports and dashboards. Watch the short video Data Studio: Qwik Start - Qwiklabs Preview.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Identifying Patient Populations
This course teaches you the fundamentals of computational phenotyping, a biomedical informatics method for identifying patient populations. In this course you will learn how different clinical data types perform when trying to identify patients with a particular disease or trait. You will also learn how to program different data manipulations and combinations to increase the complexity and improve the performance of your algorithms.
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Course by
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Self Paced
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13 ساعات
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الإنجليزية
Getting Started with Neo4J Enterprise on Google Cloud
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will load data from a Google Cloud Storage Bucket to Neo4j then explore the data using the Neo4J browser and Cypher query language
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Applying Machine Learning to your Data with Google Cloud
In this course, we define what machine learning is and how it can benefit your business. You'll see a few demos of ML in action and learn key ML terms like instances, features, and labels. In the interactive labs, you will practice invoking the pretrained ML APIs available as well as build your own Machine Learning models using just SQL with BigQuery ML.
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Course by
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Self Paced
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7 ساعات
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الإنجليزية
Setting up a Private Kubernetes Cluster
This is a self-paced lab that takes place in the Google Cloud console. Hands-on lab for creating a private cluster in the cloud environment. In a private cluster, nodes do not have public IP addresses, so your workloads run in an environment that is isolated from the Internet. Prerequisites: Experience with Kubernetes Clusters, and CIDR-range IP address.
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Ingesting Data Into The Cloud
This is a self-paced lab that takes place in the Google Cloud console. In this lab you'll learn how to use a bash script to download selected data from a large public data set that is available on the internet.…
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Course by
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Self Paced
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الإنجليزية