• A Short history
• Client-Server Computing Concepts
• Challenges with Distributed Computing
• Introduction to Cloud Computing
• Why Cloud Computing?
• Benefits of Cloud Computing

• Private Cloud
• Public Cloud
• Hybrid Cloud

• Software as a Service (SAAS)
• Platform as a Service(PAAS)
• Infrastructure as a Service (IAAS)

• Linux basic Commands
• Linux basic Administration

• IAM – Identity and Access Management
• Compute Engine
• Cloud Storage
• VPC Network
• GCP Monitoring
• Cloud DNS
• Cloud SQL
• Load Balancing
• Instance Group / Scaling Group
• Resource Management
• App Engine
• Kubernetes Engine
• Cloud Shell

• Subscription to GCP
• Introduction to the GCP Management Console

• Create the New Project
• Create the members (user)
• Choosing the right role (policy)
• Create the own role
• Find the correct role
• About Service Account

• Building a Windows instance & Linux Instance
• Choosing the right Image
• Create the Machine Image
• Bootstrapping with user-data
• Working with Instance template
• Setting up Firewall
• Working with the Firewall
• Working with a boot disk
• Different IPs assigned to an instance
• Assigning Public IPs Login/Access to the instance
• Creating your own custom Image
• Importing and Exporting Instances
• Network Interfaces
• Resources and labels
• Create the disk
• Creating Snapshot

• Creating and deleting buckets
• Adding objects to buckets
• Getting objects
• Deleting objects
• Uses of browser storage
• Working with Permissions of ACL 
• Lifecycle rules in browser storage
• Hosting a Static Website

• Creating File storage
• Attaching NFS with VM instances
• Allocation Quota Limits
• Choosing the Region & VPC
• Access point

• Creating VPC
• Creating & Managing Subnet
• Managing Route table
• Managing Firewall Rules (Ingress & Egress)
• NAT Gateway
• Peering with different VPCs
• VPC overview

• Monitoring the GCP Service Health Dashboard
• Monitoring with Stackdriver
• Getting statistics for a specific Instance
• Getting aggregated statistics
• Metrics for other GCP Services and related namespaces
• Setting up notifications

• Creating Public zone
• Creating Private zone
• Creating Forward zone
• Creating Reverse zone
• Managing Zones & Records

• DB Instances
• Selecting the DB-Engine
• Configuring the Database Server
• Creating your Database
• Setting up automatic backups, snapshots & restores
• Authorizing access to the DB with SQL Security Groups
• SQL Limits
• Managing MySQL Database server
• Deleting or Rebooting a DB Instance
• Working with Storage Types
• Upgrading a DB Instance

• Creating Instance groups
• Creating load balancers
• Internal & External Load balancers
• Load balancing protocols
• Listener Configurations
• Attach & Detach Subnets
• Firewall for the load balancer
• Configure health check for the load balancer
• Adding multiple instances to the load balancer
• Custom Domain Names
• Cross-Zone Load Balancing
• Monitoring and Logging

• What is Auto scaling?
• Auto-scaling components
• Benefits of auto-scaling
• Creating Instance Group
• Configuration of scaling policies based on the Load on instances.
• Using scaling group with the Load balancer.
• Temporarily Removing Instances
• Suspend and Resume Process
• Shut Down Your Auto Scaling Process
• Monitoring Your Auto Scaling Instances
• Health Checks
• Getting Notifications When Your Auto Scaling Group Changes

• Managing the resource cost
• Crating Billing Dashboard
• Monitoring your Billing

Cloud On-Board is a free online training program in which teachers offer hands-on laboratories and quizzes and games to assess your knowledge.

If you have any experience in cloud computing and have used AWS before, studying Google Cloud Platform will be a breeze, and this course will make it even easier.

For a beginner course with minimal experience, you should plan to study for 10-20 hours before taking your test. For more in-depth courses, this can range from spending time preparing every day for around a month to spending roughly 5 hours a week for 3 months.

For a beginner course with minimal experience, you should plan to study for 10-20 hours before taking your test. For more in-depth courses, this can range from spending time preparing every day for around a month to spending roughly 5 hours a week for 3 months.

The answer is yes! You would require some knowledge and would do programming e.g. SQL for database, Command Line for Cloud Shell.

To begin, whatever you learn may be useful in your current position or in future roles. There are no doubts if it is connected to Cloud, Virtualization, 5G, AI, IT Security, or Blockchain. Second, in our hyper-globalized world and employment, I say yes to learning that broadens your viewpoint.

GCP is also very easy to secure and easier to manage than AWS. Finally take a look to all the services that GCP has to offer, it is catching up quickly.

Google Cloud certification costs around Rs. 20000 in India.