• Overview and fundamentals of Google Cloud Platform
• Describing The Google Global infrastructure
• Products for storage, compute, networking, Machine Learning, and more
• Introduction to Google Cloud services
• Managing Google services using command-line tools, app, and console
• Installing and configuring SDK
• Deploying Cloud Shell for GCP environment management
• Google Cloud SDK Installation 
• Understand gcloud, gsutil, and other Command-Line Tools
• Deploying Gsutil
• Installation of splunk
• Usage of splunk and features
• Architecture and Licensing options
• Machine data and challenges

• Overview of Authentication Technique and Data ageing
• Admin roles and responsibilities
• Managing Google Cloud Platform with Console  and command Line
• Google Cloud SDK Installation
• Understand gcloud, gsutil, and other Command-Line Tools
• Managing the .conf files
• Learn various data onboarding:

• Understanding Google computing services
• Creating and managing virtual machines in Google Cloud
• Launching VMs on-demand using Google Compute Engine
• Choosing the right computing solutions based on the workload like memory or CPU
• Virtual Private Cloud
• Basic search commands and Reporting commands
• SubnetworkChart,Dedup,Stats
• Cloud Routerand Try creating reports
• Security aspects and Load Balancing
• Important common actions with Compute Engine

• Overview of Identity and access Management
• Describing service accounts, Policy, Roles and members
• The creation of custom roles
• IAM APIsand Data security
• Try to Deploy an App with other cluster
• Different security and identity and access management (IAM) services
• Various roles in IAM
• Creating and managing Google resources permissions
• Sharing resources and isolation
• Deploying penetration testing, auditing, and security controls

• Various storage services offered with Google Cloud
• Choosing the right storage options
• The process of storing and retrieving data
• Rich content management
• Hosting a website
• Integrating on-premises with the cloud storage
• Nearline and Coldline storage
• Tradeoff of storage options
• Cloud Datastore and Managing cloud storage using Gsutil
• Cloud SQL and Cloud Spanner
• Integration with multi-cloud environment

• Automate the Infrastructure, Scripts, Google cloud API
• How to use Google stack driver
• Deploying Google Cloud for developing applications and for debugging and monitoring purposes
• Choosing the right data storage for application data
• API Management and Cloud source
• App Engine , Functions and special APIs
• Implementing and configuring Cloud Launcher and Deployment Manager
• Application deployment using Cloud Engine

• Overview of Google networking
• Setting up the Google network
• Connecting various Google Cloud Platform resources
• Isolation using firewalls and network policies
• Creating and managing of Virtual Private Network
• Working with cloud routers and interconnecting networks
• Overview of containers and their benefits
• Usage of kubernetes engine
• Learn to choose Containers on compute engine

• Dataflow service and Data transformation with cloud data flow
• Using Stack driver for Monitoring
• Learn to create clusterand Automation jobs
• Make a setup on CI/CD and Setting up Jenkins on container engine
• Try to Create and deploy on cluster

• Understanding how to migrate to Google Cloud
• Different critical metrics and analytics
• Choosing the right options as per the specific needs
• Choosing an automation framework for resource provisioning
• Complete migration to GCP
• Managing a Hybrid model Cloud
• How to manage scalability

Real Time Projects on GCP  which are diverse in nature covering various data sets from multiple domains such as banking, Healthcare, telecommunication, social media, insurance, and e-commerce

• Project Statement
• Dataset
• Architectural Diagram and Solution
• Task segregation
• Project Demo Session
• Code and snippets
• Documentation