Google Cloud Fundamentals: Core Infrastructure

- Individuals planning to deploy applications and create application environments on Google Cloud.

- Developers, systems operations professionals, and solution architects starting with Google Cloud.

- Executives and business decision makers evaluating Google Cloud's potential  to address their business needs.

After this course participants should be able to:

• Identify the purpose and value of Google Cloud products and services.
• Define how infrastructure is organized and controlled  in Google Cloud.
• Explain how to create basic infrastructure in Google Cloud.
• Select and use Google Cloud storage options.
• Describe the purpose and value of Google Kubernetes Engine.
• Identify the use cases for serverless Google Cloud services.

Module 0: Introduction to the course

• Introduce course objectives and preview each section of the course.

Module 1: Introduction to Google Cloud

• Identify the Google Cloud’s benefits.
• Define the components of the Google network infrastructure, including points  of presence, data centers, regions, and zones.
• Identify the difference between infrastructure as a service (IaaS) and platform  as a service (PaaS).

Module 2: Resources and Access in the Cloud

• Identify the purpose of projects on Google Cloud.
• Define the purpose of and use cases for IAM.
• List interaction methods with Google Cloud.
• Use Cloud Marketplace to interact with Google Cloud.

Module 3: Virtual machines and networks in the Cloud

• Explore the basics of networking in Google Cloud.
• Identify the purpose of and use cases for Compute Engine.
• Outline how Compute Engine can scale.
• Detail important VPC compatibilities including routing tables, firewalls,  and VPC peering.
• Explore how Cloud Load Balancing functions in Google Cloud.
• Deploy a basic infrastructure to Google Cloud.

Module 4: Storage in the Cloud

• Identify the purpose of and use cases for Cloud Storage.
• Distinguish between Cloud Storage classes.
• Distinguish between Google Cloud's database storage options.
• Deploy an application that uses Cloud SQL and Cloud Storage.

Module 5: Containers in the Cloud

• Define the concept of a container and identify uses for containers.
• Identify the purpose of and use cases for Kubernetes and Google Kubernetes Engine.

Module 6: Applications in the Cloud

• Identify the purpose and use cases for Cloud Run.
• Describe how Cloud Functions can support application development on Google Cloud.
• Deploy a containerized application on Cloud Run.

Module 7: Course summary

• Summarize the content covered in each section of the course.
  

Familiarity with application development, systems operations, Linux operating systems, and data analytics or machine learning is helpful in understanding the technologies covered.

None

No recommendation

• Official course book provided to participants