Google Cloud Platform Essential Training (2019)

Introduction

• Hosting your application on GCP
• What you should know
• Working with cloud services

1. Why Use Google Cloud?

• Understanding Google Cloud Platform
• Save time and money with GCP
• Auto scale on Google Cloud Platform
• Services: Compute, data, and more
• Architecture and patterns
• Tools and libraries

2. Getting Started

• Set up a Google Cloud Platform account
• Navigate the GCP console
• Work with projects
• Use regions and zones
• Understand Google Cloud billing
• Use Google Cloud Security, IAM
• Use integrated Google Cloud console

3. File Storage and Databases

• File and data service selection
• Use Google Cloud storage
• Configure Google Cloud storage
• Google Cloud SQL
• Google BigQuery
• Google Marketplace datasets
• Google Firestore
• Google Pub/Sub

4. Compute

• Compute service selection
• Use Google Compute Engine
• Configure Google Compute Engine
• Use GCE resources
• GCP Marketplace to set up WordPress
• Google Cloud Functions
• Google Cloud Run

5. Developer Tools

• Developer Tools selection
• Cloud Logging
• Cloud Scheduler
• Cloud Code for Visual Studio Code for Compute Engine
• Cloud Code for Visual Studio Code for CloudRun

6. Data Evaluation

• Data evaluation services selection
• Google Dataprep
• Google Data Fusion
• BigQuery ad hoc visualizations
• BigQuery machine learning

7. Machine Learning

• ML model management tools selection
• Colab notebooks
• Vertex AI-managed notebooks
• Vertex AI user-managed notebooks
• Cloud Vision API
• Cloud AutoML for text analysis

Conclusion

• Learning more about GCP