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Best Best Google Cloud Online Training & Best Google Cloud Online Classes

BEST GOOGLE CLOUD ONLINE TRAINING  INSTITUTE IN BANGALORE,HYDERABAD,CHENNAI,MUMBAI,DELHI,PUNE,INDIA

My Online Training  Class is a prominent name in Bangalore, Hyderabad, Chennai, Mumbai, Delhi, Pune, India's best Google Cloud Online Training  institutes. We are one stop solution for people looking for top and best Google Cloud Online Training institutes in & at Bangalore, Hyderabad, Chennai, Mumbai, Delhi, Pune, India. We offer best Google Cloud course Online Training , Bangalore, Hyderabad, Chennai, Mumbai, Delhi, Pune, India with experienced trainers in Google Cloud industry. We provide 100% placement assistance and make you work on live projects.

My Online Training  Class is rated as one of the Best Google Cloud Online Training  Institute in Bangalore, Hyderabad, Chennai, Mumbai, Delhi, Pune, India based on Google and other third party reviews. We have completed over 50000 Online Training classes in Google Cloud and provided 100% placement assistance to students. Over the past 15 years, Team at My Online Training Class is dedicated to provide High-Quality Online Training in Google Cloud.

Trainers at My Online Training Class are handpicked from Google Cloud Industry and they have a minimum of 10 years of experience in implementing Google Cloud Technology. All Google Cloud Trainers are Professional real-time working consultants who offer hands on experience based on live scenarios.

Our Google Cloud Online Training  center in Bangalore,Hyderabad, Chennai,Mumbai,Delhi,Pune,India is well equipped with lab facilities and excellent infrastructure for providing you real time Online Training  experience. We also provide Google Cloud certification Online Training  program. We have successfully trained and provided placement for many of our students in major MNC Companies, after successful completion Google Cloud Online Training  course. We provide 100% placement support for our students.

We provide Corporate Online Training s, online Online Training , Weekend classes and Fast track course for best Google Cloud Online Training  in Bangalore, Hyderabad, Chennai, Mumbai, Delhi, Pune,India. Students have the option to select the course timings according to their convenience.

Course Material for Google Cloud is designed as per current scenarios and will help students in understanding the Google Cloud concept in detail. Our Google Cloud Online Training  Syllabus covers all the topics related to Google Cloud Technology and gives a clear understanding of live scenario to students. Our Google Cloud experts at My Online Training Class Online Training  Institute, Bangalore,Hyderabad,Chennai,Mumbai, Delhi, Pune, India have developed a unique way of teaching Google Cloud in an efficient manner.

GOOGLE CLOUD ONLINE TRAINING  COURSE

We cover all the topics from basics to advanced level. Every topic covered under the Google Cloud Online Training  will be explained in practical ways with examples. Our Google Cloud trainers are Google Cloud experts and experienced working professionals with real time Google Cloud projects knowledge.

 

Google Cloud Course Content

Google Cloud Fundamentals-Infrastructure

 

CHAPTER 1: Introducing Google Cloud Platform

 

•             Explain the advantages of Google Cloud Platform

 

•             Define the components of Google's network infrastructure, including: Points of presence, data centers, regions, and zones

 

•             Understand the difference between Infrastructure-as-a- Service (IaaS) and Platform-as-a-Service (PaaS)

 

CHAPTER 2: Getting Started with Google Cloud Platform

 

•             Identify the purpose of projects on Google Cloud Platform

 

•             Understand the purpose of and use cases for Identity and Access Management

 

•             List the methods of interacting with Google Cloud Platform

 

•             Lab: Getting Started with Google Cloud Platform

 

CHAPTER 3: Virtual Machines and Networks in the Cloud

 

•             Identify the purpose of and use cases for Google Compute Engine

 

•             Understand the various Google Cloud Platform networking and operational tools and services

 

•             Lab: Compute Engine

 

CHAPTER 4: Storage in the Cloud

 

•             Understand the purpose of and use cases for: Google Cloud Storage, Google Cloud SQL, Google Cloud Bigtable, and Google Cloud Datastore

 

•             Learn how to choose between the various storage options on Google Cloud Platform

 

•             Lab: Cloud Storage and Cloud SQL

 

CHAPTER 5: Containers in the Cloud

 

•             Define the concept of a container and identify uses for containers

 

•             Identify the purpose of and use cases for Google Kubernetes Engine and Kubernetes

 

•             Lab: Kubernetes Engine

 

CHAPTER 6: Applications in the Cloud

 

•             Understand the purpose of and use cases for Google App Engine

 

•             Contrast the App Engine Standard environment with the App Engine Flexible environment

 

•             Understand the purpose of and use cases for Google Cloud Endpoints

 

•             Lab: App Engine

 

CHAPTER 7: Developing, Deploying, and Monitoring in the Cloud

 

•             Understand options for software developers to host their source code

 

•             Understand the purpose of template-based creation and management of resources

 

•             Understand the purpose of integrated monitoring, alerting, and debugging

 

•             Lab: Deployment Manager and Stackdriver

 

CHAPTER 8: Big Data and Machine Learning in the Cloud

 

•             Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms

 

•             Lab: BigQuery

 

Developing Applications with Google Cloud Platform

 

CHAPTER 1: Best Practices for Application Development

 

Code and environment management

 

Design and development of secure, scalable, reliable, loosely coupled application components and microservices

 

Continuous integration and delivery

 

Re-architecting applications for the cloud

 

CHAPTER 2: Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK

 

How to set up and use Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK

 

Lab: Set up Google Client Libraries, Google Cloud SDK, and Firebase SDK on a Linux instance and set up application credentials

 

CHAPTER 3: Overview of Data Storage Options

 

Overview of options to store application data

 

Use cases for Google Cloud Storage, Google Cloud Datastore, Cloud Bigtable, Google Cloud SQL, and Cloud Spanner

 

CHAPTER 4: Best Practices for Using Google Cloud Datastore

 

Best practices related to the following:

 

Queries

 

Built-in and composite indexes

 

Inserting and deleting data (batch operations)

 

Transactions

 

Error handling

 

Bulk-loading data into Cloud Datastore by using Google Cloud Dataflow

 

Lab: Store application data in Cloud Datastore

 

CHAPTER 5: Performing Operations on Buckets and Objects

 

Operations that can be performed on buckets and objects

 

Consistency model

 

Error handling

 

CHAPTER 6: Best Practices for Using Google Cloud Storage

 

Naming buckets for static websites and other uses

 

Naming objects (from an access distribution perspective)

 

Performance considerations

 

Setting up and debugging a CORS configuration on a bucket

 

Lab: Store files in Cloud Storage

 

CHAPTER 7: Handling Authentication and Authorization

 

Cloud Identity and Access Management (IAM) roles and service accounts

 

User authentication by using Firebase Authentication

 

User authentication and authorization by using Cloud Identity-Aware Proxy

 

Lab: Authenticate users by using Firebase Authentication

 

CHAPTER 8: Using Google Cloud Pub/Sub to Integrate Components of Your Application

 

Topics, publishers, and subscribers

 

Pull and push subscriptions

 

Use cases for Cloud Pub/Sub

 

Lab: Develop a backend service to process messages in a message queue

 

CHAPTER 9: Adding Intelligence to Your Application

 

Overview of pre-trained machine learning APIs such as Cloud Vision API and Cloud Natural Language Processing API

 

CHAPTER 10: Using Google Cloud Functions for Event-Driven Processing

 

Key concepts such as triggers, background functions, HTTP functions

 

Use cases

 

Developing and deploying functions

 

Logging, error reporting, and monitoring

 

CHAPTER 11: Managing APIs with Google Cloud Endpoints

 

Open API deployment configuration

 

Lab: Deploy an API for your application

 

CHAPTER 12: Deploying an Application by Using Google Cloud Cloud Build, Google Cloud Container Registry, and Google Cloud Deployment Manager

 

Creating and storing container images

 

Repeatable deployments with deployment configuration and templates

 

Lab: Use Deployment Manager to deploy a web application into Google App Engine flexible environment test and production environments

 

CHAPTER 13: Execution Environments for Your Application

 

Considerations for choosing an execution environment for your application or service:

 

Google Compute Engine

 

Kubernetes Engine

 

App Engine flexible environment

 

Cloud Functions

 

Cloud Dataflow

 

Lab: Deploying your application on App Engine flexible environment

 

CHAPTER 14: Debugging, Monitoring, and Tuning Performance by Using Google Stackdriver

 

Stackdriver Debugger

 

Stackdriver Error Reporting

 

Lab: Debugging an application error by using Stackdriver Debugger and Error Reporting

 

Stackdriver Logging

 

Key concepts related to Stackdriver Trace and Stackdriver Monitoring. Lab: Use Stackdriver Monitoring and Stackdriver Trace to trace a request across services, observe, and optimise performance

 

 

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