Google Cloud Platform Fundamentals - Core Infrastructure

Advanced 601(5 Ratings)
What will you learn?
  • Choose among and use Google Cloud Platform storage options: Google Cloud Storage, Google Cloud SQL, Google Cloud Bigtable, and Google Cloud Datastore
  • Make basic use of Cloud Deployment Manager, Google’s tool for creating and managing cloud resources through templates
  • Identify the purpose and value of Google Cloud Platform products and services
  • Make basic use of BigQuery, Google’s managed data warehouse for analytics

Live training
  • Basic understanding of technology.
  • Familiarity with Linux is helpful

This 1 Days course will introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). Then you will learn many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery.

Module 1: Getting Started with Google Cloud Platform

This module will start with the understanding of Google Cloud Platform resource hierarchy, Identity and Access Management (IAM), IAM roles. Further you will learn Cloud Marketplace (formerly Cloud Launcher).

Module 2: Virtual Machines in the Cloud

This module introduces about the Virtual Private Cloud (VPC) Network, Compute Engine and, Important VPC capabilities.

Module 3: Storage in the Cloud

This module describes and differentiates among GCP's core storage options: Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Datastore, and Google Bigtable also learn the comparison between them.

Module 4: Containers in the Cloud

This module deep dive into the Containers, Kubernetes, and Kubernetes Engine. Then we will learn the introduction of Hybrid and Multi-Cloud Computing (Anthos).

Module 5: Applications in the Cloud

In this module we will start with the introduction of App Engine. Then we cover Google App Engine Standard Environment, Google App Engine Flexible Environment, Google Cloud Endpoints and Apigee Edge.

Module 6: Developing, Deploying and Monitoring in the Cloud

This module cover about the popular tools for development, deployment, and monitoring in GCP.

Module 7: Big Data and Machine Learning in the Cloud

End-of-course conclusion we will learn about Big Data and Machine Learning includes Cloud Dataflow, BigQuery, Cloud Pub/Sub and Cloud Datalab and, Machine learning APIs.
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