Architecting With Google Cloud Compute Engine in Crewe

Architecting with Google Compute Engine Outline

Module 1: Introduction to Compute Engine

• What is Compute Engine?
• Virtual Machine (VM) Instances
• Instance Groups
• Machine Type Families

Module 2: Images

• Public Images
• Custom Images
• Image Families
• HPC Images

Module 3: Create VM Instance

• Create Windows Server Instances
• Create VM Instance with Attached GPUs
• Create HPC-Ready VMs
• Create Arm VM
• Create Spot VMs

Module 4: Create Custom Images

• Create Custom Images
• Create Windows BYOL Base Images
• Create Custom Windows Server Images

Module 5: Migrate VMs

• Choose Migration Path
• Import Disks and Images
• Move VM within Google Cloud

Module 6: Connect to VMs

• Connect to VMs
• Manage Access to VMs
• Transfer Files to or from VMs
• IP Addresses
• Internal DNS
• Create PTR Record for VM
• Verify PM Identity

Module 7: Manage Storage

• Storage Options
• Disk Encryption and Security
• Persistent Disks
• Local SSD

Module 8: Backup and Restore

• Data Protection Options
• Back Up VMs
• Back Up Disks
• Restore from Backup

Module 9: Manage VMs

• Basic Operations and Lifecycle
• Update VM Tenancy
• Manage Group of VMs
• VM Host Events
• Manage Metadata
• Securing VMs

Who Should Attend this Architecting with Google Compute Engine?

The Google Cloud Compute Engine Training is suitable for anyone who wants to get better at Google Cloud Platform’s Compute Engine service as it provides a virtual machine and scalable compute resources. The Google Cloud Compute Engine Course can benefit the following professionals:

• Cloud Architects
• System Administrators
• DevOps Engineers
• Solution Architects
• Technical Managers
• Infrastructure Engineers
• Network Engineers

Prerequisites for the Architecting with Google Compute Engine

There are no formal prerequisites for this training.  However, completing the Google Cloud Platform Fundamentals: Core Infrastructure course or having equivalent experience is recommended. Familiarity with Linux, command-line tools, and basic system operations is also beneficial.

Introduction to Architecting with Google Compute Engine

Architecting with Google Compute Engine Training provides an understanding of managing scalable virtual machines and infrastructure on Google Cloud Platform. It covers compute resources, networking, workload deployment, and infrastructure optimisation.

This training enables delegates to develop skills in creating, managing, and scaling cloud-based workloads efficiently. It supports cost optimisation, improves performance, and enhances infrastructure management capabilities.

This 2-Day course offered by The Knowledge Academy enables delegates to apply compute engine concepts in real-world scenarios. It equips them with practical skills to deploy, manage, and optimise virtual machine environments effectively.

Architecting with Google Compute Engine Course Objectives

• To create and manage virtual machines and instance groups effectively
• To build, customise, and share VM images across Google Cloud projects
• To migrate workloads and optimise performance using Compute Engine tools
• To configure networking, storage, and security for scalable deployments
• To gain hands-on skills that support real-world cloud infrastructure tasks
• To automate infrastructure using scripts and deployment tools on Google Cloud

Upon completing this Architecting with Google Compute Engine Training, delegates will be able to manage and optimise cloud infrastructure effectively. They will also be prepared to pursue advanced certifications and enhance their career opportunities.

What’s Included in this Architecting with Google Compute Engine?

• World-Class Training Sessions from Experienced Instructors
• Architecting with Google Compute Engine Certificate
• Digital Delegate Pack