Google Cloud, Google CloudGCP100A

Google Cloud Fundamentals: Core Infrastructure

Version : T-GCPFCI-B-5.2
1 day / 7h

Course overview

This course uses lectures and labs to give you an overview of Google Cloud products and services.

You learn the value of Google Cloud and how to incorporate cloud-based solutions into your business strategies.

What you'll learn

  • 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.

Target audience

  • 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

Prerequisites

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

Course Outline

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 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).

Activities:

  • Quiz

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 interaction methods 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 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

Activities:

  • Lab: Getting Started with VPC Networking and Google Compute Engine
  • Quiz: Module quiz

Module 04: Storage in the Cloud

  • 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

Our training sessions

Place of training :
Dates
06/08/24 Distance Register
03/09/24 Distance Register
01/10/24 Distance Register
05/11/24 Distance Register
03/12/24 Distance Register
06/08/24 Distance Register
03/09/24 Distance Register
Dates
03/09/24 Paris Register

Ce cours vous intéresse ?

Place of training :
Dates
06/08/24
Distance Register
06/08/24
Distance Register
03/09/24
Distance Register
03/09/24
Distance Register
01/10/24
Distance Register
05/11/24
Distance Register
03/12/24
Distance Register
Dates
03/09/24
Paris Register
1
Inter : 700 € HT / user

Funding assistance

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