IAM (Identity and Access management)

• Fundamental concepts of Identity and Access Management (IAM)
• Overview of organizations, roles, members, service accounts, and policies
• Understanding Google Cloud’s resource hierarchy
• Exploring different IAM roles and permissions
• Best practices for IAM implementation
• Assigning roles and conducting hands-on testing (Lab)
• Creating service accounts and assigning roles (Lab)
• Practice questions for review

Compute Engine

• Introduction to Virtual Machines (VMs)
• Lifecycle of VM instances
• Various access options for VMs
• Creating Linux and Windows VM instances (Hands-on Lab)
• Different machine types and configurations
• Spot (Preemptible) instances and sole-tenant VMs
• Understanding VM images
• Overview of machine images
• Live migration and automatic restart of VMs
• Types of storage: Local SSD, persistent disk, and balanced persistent disk
• Deleting a VM and recreating it using a disk (Hands-on Lab)
• Understanding and managing snapshots
• Configuring firewall rules
• Pricing structure and available discounts
• Creating snapshots and setting up snapshot schedules (Hands-on Lab)
• Recovering VMs using snapshots (Hands-on Lab)
• Performing Compute Engine tasks in Cloud Shell (Hands-on Lab)
• Practice questions for review

Storage: Google cloud Storage (GCS)

• Introduction to Object Storage (Google Cloud Storage – GCS)
• Key features and use cases of GCS
• Understanding the structure of GCS
• Bucket naming conventions and best practices
• Creating a storage bucket and uploading objects (Hands-on Lab)
• Configuring IAM roles and ACL permissions for buckets (Hands-on Lab)
• Exploring different storage classes in GCS
• Implementing object versioning
• Managing lifecycle policies for storage optimization
• Understanding GCS pricing model
• Hands-on practice with versioning and lifecycle policies (Lab)
• Using GCS via gcloud commands (Hands-on Lab)
• Practice questions for review

Load Balancing and Autoscaling

• Introduction to GCP Load Balancing and Its Features
• Various Types of Load Balancers in Google Cloud
• Differences Between Global and Regional Load Balancers
• Understanding Internal and External Load Balancers
• Overview of Internal and External HTTPS Load Balancing
• Key Components of a Load Balancer
• Auto Scaling: Concepts and Benefits
• Managed vs. Unmanaged Instance Groups
• Hands-on Lab: Setting Up an External HTTP Global Load Balancer with Auto Scaling

VPC (Virtual private cloud)

• Introduction to Virtual Private Cloud (VPC) and Its Features
• Types of VPC: Default, Auto Mode, and Custom VPC
• Key Components of a VPC
• Understanding Internal and External IPs
• Routing in VPC: How Routes Work
• Firewall Rules and Their Configurations
• Overview of Shared VPC and Its Benefits
• VPC Peering: Concepts and Use Cases
• NAT Gateway: Functionality and Configuration
• VPC Pricing Structure and Cost Considerations

Project 1 – VPC and Compute Engine

• Creating an Auto Mode VPC
• Setting Up a Custom VPC
• Configuring and Managing Subnets
• Deploying VM Instances Across Different Subnets
• Implementing Firewall Rules for Security
• Establishing VPC Peering for Network Connectivity
• Setting Up a NAT Gateway for Internet Access
• Practice Questions for Hands-on Learning

Cloud SQL

• Introduction to Relational and Non-Relational Databases
• Types of Cloud SQL Databases
• Cloud MySQL: Features and Use Cases
• Cloud PostgreSQL: Overview and Benefits
• SQL Server in the Cloud
• High Availability (HA) in SQL Databases
• Creating a Cloud SQL Instance (Hands-on Lab)
• Setting Up a High-Availability (HA) SQL Instance (Hands-on Lab)
• Understanding Replication in Cloud SQL
• Backup Strategies and Best Practices

Cloud spanner

• Introduction to Cloud Spanner
• Comparison with Traditional Databases
• Key Features and Benefits
• Architecture: Regional vs. Global
• Understanding Replication in Cloud Spanner
• Backup and Restore Strategies

Bigdata and other database/storage services

Cloud Fire store / Datastore

• Understanding the Fire store Data Model
• Data Structure: Documents and Collections

Dataproc

• Overview and Key Features
• Use Cases and Benefits
• Notable Customers and Applications

Bigtable

• Challenges in Traditional Data Handling
• Overview and Features of Bigtable
• Use Cases and Real-World Applications

BigQuery

• Introduction to Data Warehousing
• Key Features and Benefits
• Pricing Considerations

Dataflow

• Introduction to Data Streaming
• Architecture and Working of Dataflow
• Key Features
  
  

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