Google Cloud Platform Essential Training for Administrators

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Free Online Course: Google Cloud Platform Essential Training for Administrators provided by LinkedIn Learning is a comprehensive online course, which lasts for 3-4 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from LinkedIn Learning. Google Cloud Platform Essential Training for Administrators is taught by Lynn Langit.

Overview
  • Explore the Google cloud. Learn how to leverage Google Cloud Platform services—including serverless computing, data storage, and machine learning—for your organization.

Syllabus
  • Introduction

    • Hosting your application on GCP
    • What you should know
    • A note about working with cloud services
    1. Why Use the Google Cloud?
    • Understanding Google Cloud Platform
    • Save time and money with GCP
    • Autoscale on GCP
    • Compliance
    • Service categories: Compute, data, and more
    • Tools and libraries
    2. Getting Started
    • Set up Google Cloud Platform account
    • Naviagate the Google Cloud Platform console
    • Work with projects
    • Use APIs
    • Use regions and zones
    • Understand Google Cloud billing
    • Use Google Cloud Security/IAM
    • Use integrated Google Cloud console
    • Use local Google Cloud
    3. Compute
    • Google Compute Engine
    • Google Cloud Platform Marketplace to set up MySQL
    • Google Compute Engine resources
    • Google Cloud Functions
    • App Engine
    • Google Cloud Run
    • Kubernetes Engine and GKE applications
    • Kubernetes Engine and GKE cluster objects
    • Anthos for Kubernetes
    4. Storage and Database
    • Google Cloud Storage
    • Google Cloud SQL
    • BigQuery
    • GCP Marketplace data sets
    • Cloud Bigtable
    • Cloud Memorystore
    • Cloud Firestore, formerly Cloud Datastore
    • Cloud Pub/Sub
    5. Machine Learning and Data Movement
    • Cloud Dataprep
    • Cloud Data Fusion
    • Data Studio
    • AI Platform and AI Hub
    • Jupyter notebooks
    • TensorFlow 2.0 in Colab notebooks
    • Vision API
    • Cloud AutoML Tables
    • Data science VM
    6. Developer Tools
    • Deployment Manager and Marketplace
    • Cloud Scheduler and Cloud Tasks
    • Cloud Code
    • Cloud Logging
    • Continuous deployment with Cloud Build
    7. Key Architectures
    • GCP architecture concepts
    • Web single-page and API-based architectures
    • Web blog: Managed databases
    • Mobile development with AI
    • Big data log processing
    Conclusion
    • Next steps