Generative AI for Business Leaders
Advertising with Meta
How Google does Machine Learning
دوراتنا
Deploy a Modern Web App connected to a Cloud Spanner Instance
This is a self-paced lab that takes place in the Google Cloud console. In this lab you build and deploy a Node.js application connected to a Cloud Spanner instance. The Node.js application is a stock price visualization tool named OmegaTrade. The OmegaTrade application stores stock prices in Cloud Spanner and renders visualizations using Google Charts.
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Cloud Monitoring: Qwik Start
This is a self-paced lab that takes place in the Google Cloud console. This lab shows you how to monitor a Google Compute Engine virtual machine (VM) instance with Cloud Monitoring. Watch the short videos Monitor Health of All Your Cloud Apps with Google Cloud monitoring and Monitor a VM Instance with Cloud monitoring, GCP Essentials.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Networking in Google Cloud: Hybrid Connectivity and Network Management
This self-paced training course builds on the Networking in Google Cloud: Defining and Implementing Networks course and enhances the study of networking options on Google Cloud. Through recorded lectures, demonstrations, and hands-on labs, you explore and deploy Google Cloud networking technologies, such as common network design patterns, connectivity to Google Cloud VPC networks, and private connection options. The course also covers optimizing network performance and cost by using Network Service Tiers. You will also learn about billing and pricing.
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Course by
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Self Paced
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7 ساعات
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الإنجليزية
Innovating with Data and Google Cloud
Cloud technology on its own only provides a fraction of the true value to a business; When combined with data–lots and lots of it–it has the power to truly unlock value and create new experiences for customers.
In this course, you'll learn what data is, historical ways companies have used it to make decisions, and why it is so critical for machine learning. This course also introduces learners to technical concepts such as structured and unstructured data. database, data warehouse, and data lakes. It then covers the most common and fastest growing Google Cloud products around data.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
VM Migration: Planning
This is a self-paced lab that takes place in the Google Cloud console. This lab provides a high level overview of the Google Cloud Adoption Framework and then deep dives into how to automate environment setup and deployments on GCP.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Introduction to Data Analytics on Google Cloud
In this beginner-level course, you will learn about the Data Analytics workflow on Google Cloud and the tools you can use to explore, analyze, and visualize data and share your findings with stakeholders. Using a case study along with hands-on labs, lectures, and quizzes/demos, the course will demonstrate how to go from raw datasets to clean data to impactful visualizations and dashboards. Whether you already work with data and want to learn how to be successful on Google Cloud, or you’re looking to progress in your career, this course will help you get started.
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Course by
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Self Paced
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4 ساعات
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الإنجليزية
Cisco: SD-WAN Cloud Hub with Google Cloud
This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab, you will learn how to leverage Google Service Directory and Cisco SD-WAN to optimize the performance of a video streaming application.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Migrating to Cloud SQL from Amazon RDS for MySQL Using Database Migration Service
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you migrate MySQL data from an Amazon RDS instance for MySQL to Cloud SQL for MySQL using a one-time Database Migration Service job and an IP allowlist for connectivity. After you create and run the migration job, you confirm that the data have been successfully migrated to your Cloud SQL for MySQL instance.
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Automating Response to Phishing with Cortex XSOAR
This is a self-paced lab that takes place in the Google Cloud console. Work through an actual email phishing use case using Cortex XSOAR’s phishing response playbook.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Extract, Analyze, and Translate Text from Images with the Cloud ML APIs
This is a self-paced lab that takes place in the Google Cloud console. In this lab you’ll combine the Cloud Vision, Natural Language, and Translation APIs to capture text strings from images, recognize characters, and analyze and translate the text strings into other languages.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Omnibond: Creating an HPC Environment in Google Cloud with CloudyCluster
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you create a complete turn-key High Performance Computing (HPC) environment in Google Cloud. This environment will provide the familiar look and feel of on-prem HPC systems but with the added elasticity and scalability of Google Cloud. In this lab you see how CloudyCluster can easily create HPC/HTC jobs that will run on-prem or in CloudyCluster on Google Cloud. You can rely on the familiar look and feel of a standard HPC environment while embracing the capabilities and elasticity of 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
Google Cloud Compute and Scalability for AWS Professionals
This is the second course of a four-course series for cloud architects and engineers with existing AWS knowledge. It aims to compare Google Cloud and AWS solutions and guide professionals on their use. This course focuses on compute resources and load balancing in Google Cloud. The learner will apply the knowledge of using virtual machines and load balancers in AWS to explore the similarities and differences with configuring and managing compute resources and load balancers in Google Cloud. Learners will 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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4 ساعات
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الإنجليزية
Orchestrating the Cloud with Kubernetes
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to provision a complete Kubernetes cluster using Google Container Engine; deploy and manage Docker containers using kubectl; and break an application into microservices using Kubernetes’ Deployments and Services.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Explore and Create Reports with Data Studio
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you learn how to connect Google Data Studio to Google BigQuery data tables, create charts, and explore the relationships between dimensions and measures.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Application Development with Cloud Run
This course introduces you to fundamentals, practices, capabilities and tools applicable to modern cloud-native application development using Google Cloud Run. Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to on Google Cloud using Cloud Run.design, implement, deploy, secure, manage, and scale applications
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Course by
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Self Paced
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12 ساعات
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الإنجليزية
Deploy an Auto-Scaling HPC Cluster with Slurm
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to provision a dynamically scalable HPC cluster using Google Compute Engine, Google Deployment Manager, and the Slurm…
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Course by
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Self Paced
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الإنجليزية
Deploying a Python Flask Web Application to App Engine Flexible
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to use App Engine Flexible with Python’s Flask framework. You’ll deploy a web application that allows users to upload photos of people’s faces and do simple facial recognition with the Cloud Vision API.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
App Dev: Storing Image and Video Files in Cloud Storage - Python
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you add images and video to an application. You store files as objects in a Cloud Storage bucket.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Creating and Alerting on Logs-based Metrics
This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab we take a look through some of the information provided by the Cloud Monitoring tools, and teach some of the concepts you will need to know to take advantage of Cloud Monitoring effectively.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Protect and Recover Microsoft SQL Server with Actifio
This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab, you will learn how to backup an existing Microsoft SQL Database with Actifio
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Managing Terraform State
This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab you will import existing infrastructure, write Terraform configuration that matches that infrastructure, and manipulate state storage with Terraform.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Creating a Data Transformation Pipeline with Cloud Dataprep
This is a self-paced lab that takes place in the Google Cloud console. Cloud Dataprep by Trifacta is an intelligent data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis. In this lab you will explore the Cloud Dataprep UI to build a data transformation pipeline.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Introduction to Vertex Forecasting and Time Series in Practice
This course is an introduction to building forecasting solutions with Google Cloud. You start with sequence models and time series foundations. You then walk through an end-to-end workflow: from data preparation to model development and deployment with Vertex AI. Finally, you learn the lessons and tips from a retail use case and apply the knowledge by building your own forecasting models.
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Course by
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Self Paced
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15 ساعات
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الإنجليزية
Distributed Machine Learning with Google Cloud ML
This is a self-paced lab that takes place in the Google Cloud console. Learn the process for partitioning a data set into two separate parts: a training set to develop a model, and a test set to evaluate the accuracy of the model and then independently evaluate predictive models in a repeatable manner.
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Data Publishing on BigQuery using Authorized Views 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 used to share customer specific data from a Data Sharing Partner.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية