• Post category:StudyBullet-6
  • Reading time:5 mins read


Google Cloud Fundamenals with Google Compute , Google Cloud Storage,Google Kubernates and App Engine,Anthos , Vertex AI

What you will learn

Google Cloud Products and Solutions

Computing and Serverless Computing

Kubernates and Containers

AI infrastructure and Services

Database integrations and API Management

App engine and Internet of Things Essentials

Description

You’ve heard the term “cloud-native development,” which embraces the idea that an application intended to run on a public cloud platform may be designed, tested, and deployed there, to begin with.

Google Cloud is a suite of Cloud Computing services offered by Google. The platform provides various services like compute, storage, networking, Big Data, and many more that run on the same infrastructure that Google uses internally for its end users like Google Search and YouTube.

Google server hasn’t gone down in years. So, if you are planning to run your application on the Google Cloud infrastructure, then you can be assured of your applications being safe and secure.

Google Cloud has been expanding across the globe. The reason is the wide array of services it offers to its users:

  • Google Cloud Compute Services
  • Google Cloud Storage Services
  • Networking
  • Big Data Services
  • Security and Identity Management
  • Management Tools
  • Vertex AI
  • IoT
  • Dialog Flow
  • Health Care APIs
  • App Engine
  • Server less Computing

Reliability

Reliability is first and foremost. I can hardly remember if my VM instance ever restarted without my having initiated it.


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SSL certificates

ability to issue and manage SSL certificates for you automatically.

Storing Files/Assets

Google Cloud has storage “buckets” where you can put your files so they are not stored on a particular server. A bucket can be public, so you can store public images there, for example. Or a bucket can be secured, so you read and write files through a server. This is how you can store invoices and any other secured documents.

Scalability

VM instance and deploy extra instances.

English
language

Content

Introduction

Introduction
Introduction to Google Cloud Solutions
Google Compute Engine
Google Cloud Storage
Google Cloud SQL
Google Kubernates Engine
Google Big Query
Google Dataflow and Operations
Anthos and Cloud Functions

AI and Machine Learning

Google Vertex AI
Importing a Dataset
Speech to Rext Recognition System
Google Dialog Flow Essentials
Dialog Flow CX

API Management and Data Analytics

Environment Tuning for Apigee
Designing and Developing your API Gateways

Essential Services for Devops

Google Cloud IOT
Serverless Computing With GCP

Database and Developers Tool

Database Migration , Fire Store and Big Table

Thank You Note

Conclusion