• Course overview
  • Course details
  • Prerequisites

Course overview

About this course

Through this course, learners will gain a deep understanding of GCP’s core infrastructure, comparing and contrasting it with AWS services to speed up adoption and implementation in enterprise environments. Whether your teams are migrating from AWS to Google Cloud or managing multi-cloud environments, this course helps them build fluency in Google Cloud’s compute, storage, networking, IAM, and operations capabilities

Audience

  • Cloud Architects with AWS experience

  • DevOps Engineers managing multi-cloud environments

  • System Administrators and Solution Architects

  • Enterprise IT teams involved in cloud migration

  • Professionals preparing for Google Cloud certifications

At course completion

You will be able to:

  • Understand the key differences between AWS and Google Cloud.
  • Learn how to configure and manage Google Cloud infrastructure.
  • Develop skills to architect scalable and secure solutions in Google Cloud.

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Course details

Module 1: Introduction to Google Cloud
• Overview of Google Cloud products and services
• Google Cloud console and CLI basics
• Understanding Google Cloud’s global infrastructure

Module 2: Mapping AWS Services to Google Cloud
• Compute services comparison (EC2 vs. Compute Engine)
• Storage services mapping (S3 vs. Cloud Storage)
• Networking parallels (VPC in AWS vs. VPC in Google Cloud)
• Identity and access management differences

Module 3: Google Cloud Resource Management
• Managing projects and billing accounts
• Setting up IAM roles and permissions
• Resource hierarchy in Google Cloud

Module 4: Networking and Security
• Configuring Virtual Private Clouds (VPCs)
• Implementing firewall rules and security policies
• Understanding Google Cloud’s security model

Module 5: Deploying and Managing Applications
• Deploying virtual machines with Compute Engine
• Kubernetes clusters with Google Kubernetes Engine (GKE)
• Setting up serverless applications using Cloud Functions

Module 6: Data Storage and Database Management
• Working with Cloud Storage buckets
• Using Google Cloud SQL and BigQuery for data management
• Best practices for data security and access control

Module 7: Monitoring and Logging
• Setting up Stackdriver for monitoring and logging
• Configuring alerts for resource utilization
• Analyzing logs for troubleshooting and optimization

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Prerequisites

  • Familiarity with AWS terms and concepts

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