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Cloud Computing Courses - Page 10

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Big Data Analysis Deep Dive
The job market for architects, engineers, and analytics professionals with Big Data expertise continues to increase. The Academy’s Big Data Career path focuses on the fundamental tools and techniques needed to pursue a career in Big Data. This course includes: data processing with python, writing and reading SQL queries, transmitting data with MaxCompute, analyzing data with Quick BI, using Hive, Hadoop, and spark on E-MapReduce, and how to visualize data with data dashboards. Work through our course material, learn different aspects of the Big Data field, and get certified as a Big Data Professional!
Mitigating Security Vulnerabilities on Google Cloud en Français
In this self-paced training course, participants learn mitigations for attacks at many points in a Google Cloud-based infrastructure, including Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classification and use. They also learn about the Security Command Center, cloud logging and audit logging, and using Forseti to view overall compliance with your organization's security policies.
Cloud Run for Anthos
This is a self-paced lab that takes place in the Google Cloud console. In this lab you'll learn how to get started with Cloud Run on GKE by deploying an existing stateless HTTP container to a GKE instance. This enables you to scale a containerized application without having to manage the underlying infrastructure.
Gmail
Gmail is Google’s cloud based email service that allows you to access your messages from any computer or device with just a web browser. In this course, you’ll learn how to compose, send and reply to messages. You will also explore some of the common actions that can be applied to a Gmail message, and learn how to organize your mail using Gmail labels. You will explore some common Gmail settings and features. For example, you will learn how to manage your own personal contacts and groups, customize your Gmail Inbox to suit your way of working, and create your own email signatures and templates. Google is famous for search. Gmail also includes powerful search and filtering. You will explore Gmail’s advanced search and learn how to filter messages automatically.
Deploy Microsoft SQL Server to Compute Engine
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to create a virtual machine with Microsoft SQL Server installed. You’ll also create a Windows user and password and learn how to connect to the Windows Server via remote desktop.
Merging Results from Different Explores in Looker
This is a Google Cloud Self-Paced Lab. In this lab, you will merge results from different explores in Looker.
Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Istio
This is a self-paced lab that takes place in the Google Cloud console. AutoML Vision helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).
Analyzing Natality Data Using Vertex AI and BigQuery
This is a self-paced lab that takes place in the Google Cloud console. In this lab you analyze a large (137 million rows) natality dataset using Google BigQuery and Cloud Datalab. This lab is part of a series of labs on processing scientific data.
Google Cloud Speech API: Qwik Start
This is a self-paced lab that takes place in the Google Cloud console. The Google Cloud Speech API integrates speech recognition into dev apps; you can now send audio/receive a text transcription. Watch these short videos Powerful Speech Recognition Using Google Machine Learning and Google Cloud Speech: Qwik Start - Qwiklabs Preview
Google Docs
With Google Docs, your documents are stored in the cloud, and you can access them from any computer or device. You create and edit documents right in your web browser; no special software is required. Even better, multiple people can work at the same time, you can see people’s changes as they make them, and every change is saved automatically. In this course, you will learn how to open Google Docs, create and format a new document, and apply a template to a new document. You will learn how to enhance your documents using a table of contents, headers and footers, tables, drawings, images, and more. You will learn how to share your documents with others. We will discuss your sharing options and examine collaborator roles and permissions. You will learn how to manage versions of your documents. Google Docs allows you to work in real time with others on the same document. You will learn how to create and manage comments and action items in your documents. We will review a few of the Google Docs tools. You will understand how to set your preferences to suit your own work style and explore how to use tools such as Google Explore to add value to your content.