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cloud computing Certification Training Course in Hyderabad institute near me
Google Cloud
Google Cloud
IT Training in
Bodhi IT Solutions
45 Days
1 Hrs - - - - - -
Next Batch Start Date
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Training Type
Bodhi IT Solutions
Bodhi IT Solutions
Madhapur, Hyderabad

IT Training

IT Training Course Details:

1.      Introduction to Cloud and Virtualization

·         Introduction and Course objectives

·         What is Datacenter

·         What is virtualization

·         How virtualization works and its benefits

·         Different types in virtualization

·         What is Cloud Computing

·         Why Cloud Computing

·         Benefits of Cloud Computing

·         Cloud technology overview and vendors

·         Cloud Computing Models (Private, Public, Hybrid and Community)

·         Cloud Services (IaaS, PaaS, SaaS)

2.      Introduction to Google Cloud

·         Overview of Google Cloud

·         Subscription Types, Account Creation

·         List the different ways of interacting with Google Cloud.

·         Use the Cloud Console and Cloud Shell.

·         GCP Global infrastructure

·         Understanding the GCP Pricing model

·         Outline the Google Cloud Marketplace.

·         Use the Google Cloud Marketplace to deploy solutions.

3.      Virtual Machines

·         Overview of GCP Instances

·         Use the Google Cloud Marketplace to deploy solutions.

·         VM types: CPU and memory options for virtual machines.

·         Describe the disk options for virtual machines.

·         Explain VM pricing and discounts.

·         Use Compute Engine to create and customize VM instances

4.      Virtual Networks

·         Overview of GCP backbone network

·         List the VPC objects in Google Cloud.

·         Differentiate between the different types of VPC networks.

·         Implement VPC networks and firewall rules.

·         Implement Private Google Access and Cloud NAT.

5.      Interconnecting Networks

·         Google Cloud interconnect and peering services available to connect your infrastructure to Google Cloud.

·         Determine which Google Cloud interconnect or peering service to use in specific circumstances.

·         Create and configure VPN gateways.

·         when to use Shared VPC and when to use VPC Network Peering.

6.      Load Balancing and Autoscaling

·         Various load balancing services.

·         Determine which Google Cloud load balancer to use in specific circumstances.

·         Describe autoscaling behaviour

·         Configure load balancers and autoscaling.

7.      Storage and Database Services

·         Implement Private Google Access and Cloud NAT.

·         Differentiate between Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Firestore and Cloud Bigtable.

·         Choose a data storage service based on your requirements

·         Implement data storage services.

·         Create Cloud Storage buckets.

8.      Cloud IAM

·         Describe the Cloud IAM resource hierarchy.

·         Explain the different types of IAM roles.

·         Explain the different types of IAM members.

·         Implement access control for resources using Cloud IAM.

9.      Application in the Cloud

·         App engine overview

·         Deployment the App engine and Management options

·         GCP functions

10.  Resource Management

·         Describe the cloud resource manager hierarchy.

·         Recognize how quotas protect Google Cloud customers.

·         Use labels to organize resources.

·         Explain the behavior of budget alerts in Google Cloud.

·         Examine billing data with BigQuery.

11.  Resource Monitoring

·         Describe the services for monitoring, logging, error reporting, tracing, and debugging.

·         Create charts, alerts, and uptime checks for resources with Cloud Monitoring.

·         Use Cloud Debugger to identify and fix errors.

12.  Infrastructure Modernization

·         Describe the services for monitoring, logging, error reporting, tracing, and debugging.

·         Automate the deployment of Google Cloud services using Deployment Manager or Terraform.

13.  Managed Services

·         Describe the managed services for data processing in Google Cloud.

14.  Containers in the Cloud

·         Overview Containers

·         GCP Kubernets engine overview

·         Deployment and Management of GCP Kubernets engine

15.  Migration Solutions for GCP Cloud

·         Overview of Migration models

·         Migrations tools and compatibilities with GCP Cloud