Google Cloud Fundamentals: Core Infrastructure («GCPFCI»)

1 Introducing Google Cloud

• Cloud computing overview
• IaaS and PaaS
• The Google Cloud network
• Environmental impact
• Security
• Open-source ecosystems
• Pricing and billing
• Identify the benefits of Google Cloud
• 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 quiz

2 Resources and Access in the Cloud

• Google Cloud resource hierarchy
• IAM
• IAM roles
• Service accounts
• Cloud Identity
• Interacting with Google 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
• Lab: Getting Started with Cloud Marketplace
• Module quiz

3 Virtual Machines and Networks in the Cloud

• Virtual Private Cloud networking
• Compute Engine
• Scaling virtual machines
• Important VPC compatibilities
• Cloud Load Balancing
• Cloud DNS and Cloud CDN
• Connecting networks to Google VPC
• Explore the basics of networking in Google Cloud
• Identify the purpose of and use cases for Google 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
• Lab: Getting Started with VPC Networking and Google Compute Engine
• Module quiz

4 Storage in the Cloud

• Cloud Storage
• Cloud SQL
• Cloud Spanner
• Firestore
• Cloud Bigtable
• Comparing storage options
• 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
• Lab: Getting Started with Cloud Storage and Cloud SQL
• Module quiz

5 Containers in the Cloud

• Introduction to containers
• Kubernetes
• Google Kubernetes Engine
• 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 quiz

6 Applications in the Cloud

• Cloud Run
• Cloud Functions
• 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
• Lab: Hello Cloud Run
• Module quiz

7 Prompt Engineering

• Introduction to generative AI
• Introduction to large language models
• Prompt engineering and recommended practices
• Define what generative AI is
• Explain how large language models are trained
• Detail the elements and types of a prompt
• Explore recommended practices when constructing prompts
• Module quiz

8 Course Summary

• The course summary recaps the major concepts learners were introduced to during the course
• Summarize the content covered in each section of the course

• Individuals planning to deploy applications and create application environments on Google Cloud
• Developers, systems operations professionals, and solution architects getting started with Google Cloud
• Executives and business decision makers evaluating the potential of Google Cloud to address their business needs

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

This course is part of the Google Cloud Certified Associate Cloud Engineer certification path.

Products

• Identity and Access Management (IAM)
• Cloud Marketplace
• Compute Engine
• Cloud Storage
• Cloud Bigtable
• Cloud SQL
• Cloud Spanner
• Firestore
• Google Kubernetes Engine
• Cloud Functions
• Cloud Run

Not covered

• App Engine
• SRE concepts
• SRE best practice