Overview
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Explore the Google cloud. Learn how to leverage Google Cloud Platform services—including serverless computing, data storage, and machine learning—for your organization.
Syllabus
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Introduction
- Hosting your application on GCP
- What you should know
- A note about working with cloud services
- Understanding Google Cloud Platform
- Save time and money with GCP
- Autoscale on GCP
- Compliance
- Service categories: Compute, data, and more
- Tools and libraries
- 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
- 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
- Google Cloud Storage
- Google Cloud SQL
- BigQuery
- GCP Marketplace data sets
- Cloud Bigtable
- Cloud Memorystore
- Cloud Firestore, formerly Cloud Datastore
- Cloud Pub/Sub
- 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
- Deployment Manager and Marketplace
- Cloud Scheduler and Cloud Tasks
- Cloud Code
- Cloud Logging
- Continuous deployment with Cloud Build
- GCP architecture concepts
- Web single-page and API-based architectures
- Web blog: Managed databases
- Mobile development with AI
- Big data log processing
- Next steps
