Introduction
Hosting your application on GCP
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What you should know
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Working with cloud services
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1. Why Use Google Cloud?
Understanding Google Cloud Platform
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Save time and money with GCP
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Auto scale on Google Cloud Platform
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Services: Compute, data, and more
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Architecture and patterns
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Tools and libraries
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2. Getting Started
Set up a Google Cloud Platform account
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Navigate the GCP console
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Work with projects
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Use regions and zones
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Understand Google Cloud billing
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Use Google Cloud Security, IAM
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Use integrated Google Cloud console
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3. File Storage and Databases
File and data service selection
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Use Google Cloud storage
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Configure Google Cloud storage
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Google Cloud SQL
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Google BigQuery
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Google Marketplace datasets
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Google Firestore
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Google Pub/Sub
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4. Compute
Compute service selection
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Use Google Compute Engine
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Configure Google Compute Engine
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Use GCE resources
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GCP Marketplace to set up WordPress
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Google Cloud Functions
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Google Cloud Run
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5. Developer Tools
Developer Tools selection
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Cloud Logging
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Cloud Scheduler
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Cloud Code for Visual Studio Code for Compute Engine
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Cloud Code for Visual Studio Code for CloudRun
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6. Data Evaluation
Data evaluation services selection
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Google Dataprep
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Google Data Fusion
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BigQuery ad hoc visualizations
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BigQuery machine learning
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7. Machine Learning
ML model management tools selection
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Colab notebooks
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Vertex AI-managed notebooks
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Vertex AI user-managed notebooks
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Cloud Vision API
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Cloud AutoML for text analysis
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Conclusion
Learning more about GCP
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