Google Cloud Fundamentals: Core Infrastructure

  • 4.7
Approx. 12 hours to complete

Course Summary

This course gives you an introduction to Google Cloud Platform (GCP) and its many features. You'll learn how to use GCP's core services, including Compute Engine, App Engine, and Kubernetes Engine, to build and manage scalable and highly available cloud-based applications.

Key Learning Points

  • Learn how to create, deploy and manage applications on the Google Cloud Platform
  • Get hands-on experience with GCP's core services
  • Understand how to monitor and optimize your applications for performance and cost

Related Topics for further study


Learning Outcomes

  • Create and deploy scalable applications on GCP
  • Optimize applications for performance and cost
  • Gain hands-on experience with GCP's core services

Prerequisites or good to have knowledge before taking this course

  • Basic understanding of cloud computing concepts
  • Basic programming knowledge in languages such as Java, Python, or Ruby

Course Difficulty Level

Beginner

Course Format

  • Online
  • Self-paced

Similar Courses

  • AWS Fundamentals
  • Microsoft Azure Fundamentals

Related Education Paths


Related Books

Description

This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, 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. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP.

Outline

  • Introducing Google Cloud Platform
  • What's new?
  • Welcome to GCP Fundamentals
  • What is cloud computing?
  • How did we get here?
  • Every company is a data company
  • GCP computing architectures
  • The Google network
  • GCP regions and zones
  • Environmental responsibility
  • Google offers customer-friendly pricing
  • Open APIs
  • Why choose Google Cloud Platform
  • Multi-layered security approach
  • Budgets and Billing
  • Welcome to Google Cloud Platform Fundamentals: Core Infrastructure
  • How to download course resources
  • Cloud Computing Services
  • GCP Regions and Zones
  • Introducing Google Cloud Platform
  • Getting Started with Google Cloud Platform
  • Module introduction
  • The Google Cloud Platform resource hierarchy
  • Identity and Access Management (IAM)
  • IAM roles
  • Interacting with Google Cloud Platform
  • Cloud Marketplace (formerly Cloud Launcher)
  • Demonstration: Getting Started with Cloud Launcher
  • Getting Started with Google Cloud and Qwiklabs
  • Getting Started with Google Cloud Platform
  • Virtual Machines in the Cloud
  • Module Introduction
  • Virtual Private Cloud (VPC) Network
  • Compute Engine
  • Important VPC capabilities
  • Demonstration: Getting Started with Compute Engine
  • Google Compute Engine and Networking
  • Storage in the Cloud
  • Introduction to Google Cloud Platform Storage Options
  • Cloud Storage
  • Cloud Storage interactions
  • Google Cloud Bigtable
  • Google Cloud SQL and Google Cloud Spanner
  • Google Cloud Datastore
  • Comparing Storage Options
  • Demonstration: Getting Started with Cloud Storage and Cloud SQL
  • Google Cloud Platform Storage Options
  • Containers in the Cloud
  • Containers, Kubernetes, and Kubernetes Engine
  • Introduction to Kubernetes and GKE
  • Introduction to Hybrid and Multi-Cloud Computing (Anthos)
  • Lab Introduction - Getting Started with Kubernetes Engine
  • Demo: Getting Started with Kubernetes Engine
  • Containers, Kubernetes, and Kubernetes Engine
  • Applications in the Cloud
  • Module introduction; introduction to App Engine
  • Google App Engine Standard Environment
  • Google App Engine Flexible Environment
  • Google Cloud Endpoints and Apigee Edge
  • Demonstration: Getting Started with App Engine
  • App Engine
  • Applications in the Cloud
  • Developing, Deploying and Monitoring in the Cloud
  • Development in the cloud
  • Deployment: Infrastructure as code
  • Monitoring: Proactive instrumentation
  • Demonstration: Getting Started with Deployment Manager and Stackdriver
  • Developing, Deploying, and Monitoring in the Cloud
  • Big Data and Machine Learning in the Cloud
  • Introduction to Big Data and Machine Learning
  • Google Cloud Big Data Platform
  • Cloud Dataflow
  • BigQuery
  • Cloud Pub/Sub and Cloud Datalab
  • Google Cloud Machine Learning Platform
  • Machine learning APIs
  • Demonstration: Getting Started with BigQuery
  • Big Data and Machine Learning
  • Summary and Review
  • Review
  • Next steps
  • Summary and Review

Summary of User Reviews

Key Aspect Users Liked About This Course

Practical examples

Pros from User Reviews

  • Hands-on approach
  • In-depth explanations
  • Great for beginners
  • Clear and concise lectures
  • Certificate of completion

Cons from User Reviews

  • Some sections are too basic
  • Not enough emphasis on advanced topics
  • Limited interaction with instructors
  • Not suitable for experienced users
  • Some technical glitches in the platform
English
Available now
Approx. 12 hours to complete
Google Cloud Training
Google Cloud
Coursera

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Google Cloud Training

  • 4.7 Raiting
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