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Google Cloud Platform Essential Training for Administrators

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Is Google Cloud Platform (GCP) right for your business? Explore the offerings of this leading cloud services provider. In this course, designed uniquely for IT professionals—architects, network admins, and technology stakeholders—join instructor Lynn Langit to learn how to evaluate GCP for your organization as well as those tasked with getting apps up and running on the Google cloud.

Discover how to set up an account and use the console, APIs, Cloud Shell, and other GCP tools. Then explore the core services—serverless computing, data storage, and machine learning—and the developer tools that Google provides for building your own custom solutions. Along the way, test out your new skills in real-world scenarios using GCP to manage virtual machines, Docker containers, Kubernetes clusters, functions, relational data stores, NoSQL data, and more. Lynn also shares practical tips for optimizing budgets and planning deployments, and reviews examples of common architectural patterns.


01 - Introduction
  • 01 - Hosting your application on GCP
  • 02 - What you should know
  • 03 - Working with cloud services

  • 02 - 1. Why Use Google Cloud
  • 01 - Understanding Google Cloud Platform
  • 02 - Save time and money with GCP
  • 03 - Auto scale on Google Cloud Platform
  • 04 - Services Compute, data, and more
  • 05 - Architecture and patterns
  • 06 - Tools and libraries

  • 03 - 2. Getting Started
  • 01 - Set up a Google Cloud Platform account
  • 02 - Navigate the GCP console
  • 03 - Work with projects
  • 04 - Use regions and zones
  • 05 - Understand Google Cloud billing
  • 06 - Use Google Cloud Security, IAM
  • 07 - Use integrated Google Cloud console

  • 04 - 3. File Storage and Databases
  • 01 - File and data service selection
  • 02 - Use Google Cloud storage
  • 03 - Configure Google Cloud storage
  • 04 - Google Cloud SQL
  • 05 - Google BigQuery
  • 06 - Google Marketplace datasets
  • 07 - Google Firestore
  • 08 - Google PubSub

  • 05 - 4. Compute
  • 01 - Compute service selection
  • 02 - Use Google Compute Engine
  • 03 - Configure Google Compute Engine
  • 04 - Use GCE resources
  • 05 - GCP Marketplace to set up WordPress
  • 06 - Google Cloud Functions
  • 07 - Google Cloud Run

  • 06 - 5. Developer Tools
  • 01 - Developer Tools selection
  • 02 - Cloud Logging
  • 03 - Cloud Scheduler
  • 04 - Cloud Code for Visual Studio Code for Compute Engine
  • 05 - Cloud Code for Visual Studio Code for CloudRun

  • 07 - 6. Data Evaluation
  • 01 - Data evaluation services selection
  • 02 - Google Dataprep
  • 03 - Google Data Fusion
  • 04 - BigQuery ad hoc visualizations
  • 05 - BigQuery machine learning

  • 08 - 7. Machine Learning
  • 01 - ML model management tools selection
  • 02 - Colab notebooks
  • 03 - Vertex AI-managed notebooks
  • 04 - Vertex AI user-managed notebooks
  • 05 - Cloud Vision API
  • 06 - Cloud AutoML for text analysis

  • 09 - Conclusion
  • 01 - Learning more about GCP
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    تاریخ انتشار: 12 تیر 1402
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