Google Cloud Fundamentals: Core Infrastructure

Duração: 1 dia (8 horas)

Este curso utiliza apresentações e laboratórios para oferecer uma visão geral dos produtos e serviços do Google Cloud. Você aprenderá o valor do Google Cloud e como incorporar soluções baseadas em nuvem nas suas estratégias de negócios.

Dependências de outros cursos e certificações com o curso de Google Cloud Fundamentals Core Infrastructure
Dependências de outros cursos e certificações com o curso de Google Cloud Fundamentals Core Infrastructure

Resumo do curso

O curso inclui apresentações, demonstrações e laboratórios práticos.
  • Introduce course objectives and preview each section of the course.
  • 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).
  • 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.
  • 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.
  • 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.
  • Define the concept of a container and identify uses for containers.
  • Identify the purpose of and use cases for Kubernetes and Google Kubernetes Engine.
  • 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.
  • 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.
  • Summarize the content covered in each section of the course.