Google Cloud Fundamentals: Core Infrastructure (GCF-CI)

 

Course Overview

This course uses lectures and labs to give you an overview of Google Cloud products and services. You learn about the value of Google Cloud and how to incorporate cloud-based solutions into your business strategies.

Who should attend

  • 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

Certifications

Prerequisites

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

Course Objectives

  • 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.
  • Explore Google Clouds Generative AI tools and best practices.

Follow On Courses

Outline: Google Cloud Fundamentals: Core Infrastructure (GCF-CI)

Module 01: Introducing Google Cloud

Topics:

  • Cloud computing overview
  • IaaS and PaaS
  • The Google Cloud network
  • Environmental impact
  • Security
  • Open-source ecosystems
  • Pricing and billing

Objectives

  • Identify the benefits of Google Cloud.
  • Define the components of 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 02: Resources and Access in the Cloud

Topics:

  • Google Cloud resource hierarchy
  • IAM
  • IAM roles
  • Service accounts
  • Cloud Identity
  • Interacting with Google Cloud

Objectives

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

Activities:

  • Lab: Getting Started with Cloud Marketplace
  • Quiz: Module quiz
Module 03: Virtual Machines and Networks in the Cloud

Topics:

  • 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

Objectives

  • Explore the basics of networking in Google Cloud.
  • Identify the purpose of and use cases for Compute Engine.
  • Outline how Google 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.

Activities

  • Lab: Getting Started with VPC Networking and Google Compute Engine
  • Quiz: Module quiz
Module 04: Storage in the Cloud

Topics:

  • Cloud Storage
  • Cloud SQL
  • Cloud Spanner
  • Firestore
  • Cloud Bigtable
  • Comparing storage options

Objectives

  • 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.

Activities:

  • Lab: Getting Started with Cloud Storage and Cloud SQL
  • Quiz: Module quiz
Module 05: Containers in the Cloud

Topics:

  • Introduction to containers
  • Kubernetes
  • Google Kubernetes Engine

Objectives

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

Activities:

  • Quiz: Module quiz
Module 06: Applications in the Cloud

Topics:

  • Cloud Run
  • Cloud Functions

Objectives

  • 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.

Activities:

  • Lab: Hello Cloud Run
  • Quiz: Module quiz
Module 07: Prompt Engineering

Topics:

  • Introduction to generative AI
  • Introduction to large language models
  • Prompt engineering and recommended practices

Objectives:

  • 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

Activities:

  • Quiz: Module quiz
Module 08: Course Summary

Topics: The course summary recaps the major concepts learners were introduced to during the course.

Objectives: Summarize the content covered in each section of the course.

Prices & Delivery methods

Online Training

Duration
1 day

Price
  • Online Training: Free offering
  • Online Training: Free offering
Classroom Training

Duration
1 day

Price
  • Canada: CAD 785

Click on town name or "Online Training" to book Schedule

Guaranteed date:   We will carry out all guaranteed training regardless of the number of attendees, exempt from force majeure or other unexpected events, like e.g. accidents or illness of the trainer, which prevent the course from being conducted.
This is an Instructor-Led Classroom course
Instructor-led Online Training:   This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.
This is a FLEX course, which is delivered both virtually and in the classroom.

United States

Guaranteed to Run Online Training 09:00 Central Standard Time (CST) Enroll