Google Cloud Platform Essential Training for Administrators

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

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