Overview of Architecting with Google Compute Engine Course:

This course familiarizes you with Google Cloud’s infrastructure and platform services, focusing specifically on Compute Engine. Through lectures, demos, and hands-on labs, you will explore and deploy solution elements—including networks, systems, and application services. You will also learn to implement practical solutions such as hybrid networking, customer-supplied encryption keys, and resource monitoring. 

After completing this course on Architecting with Google Compute Engine Training, Students will be able to:

  • Configure VPC networks and firewall rules to secure cloud resources.
  • Create and customize VM instances using Compute Engine.
  • Manage Identity and Access Management (IAM) for granular resource control.
  • Implement and manage various data storage services in Google Cloud.
  • Connect on-premises infrastructure to Google Cloud via VPN and Interconnect.
  • Configure load balancers and autoscaling to handle fluctuating traffic.
  • Automate infrastructure deployment using Terraform
  • Monitor and manage the billing and health of cloud resources.

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Key Features of Architecting with Google Compute Engine Certification:

  • Compute Engine Deep Dive:

    Extensive focus on creating, customizing, and managing Virtual Machine (VM) instances.

     

  • Hands-on Intensive: I

    Includes 11 modules and multiple labs covering everything from VPC configuration to infrastructure automation

  • Advanced Networking:

    Detailed modules on interconnecting networks (VPN, Peering, Interconnect) and Load Balancing

  • Infrastructure as Code (IaC):

    Practical experience using Terraform to automate Google Cloud service deployments.

  • Comprehensive Ops Coverage:

    Includes identity management (IAM), resource monitoring, and billing management.

Who Should Attend Architecting with Google Compute Engine Specialization:

  • Cloud Architects
  • Site Reliability Engineers
  • Systems Administrators responsible for managing Google Cloud infrastructure.

Prerequisites

  • Basic understanding of networking (IP addresses, firewalls, and routing).
  • Familiarity with command-line tools and Linux environments.
  • Completion of "Google Cloud Fundamentals: Core Infrastructure" or equivalent experience.
  • Why choose CloudThat as your training partner?

    • Specialized GCP Focus: CloudThat specializes in cloud technologies, offering focused and specialized training programs. We are Authorized Trainers for the Google Cloud Platform. This specialization ensures in-depth coverage of GCP services, use cases, best practices, and hands-on experience tailored specifically for GCP.
    • Industry-Recognized Trainers: CloudThat has a strong pool of industry-recognized trainers certified by GCP. These trainers bring real-world experience and practical insights into the training sessions, comprehensively understanding how GCP is applied in different industries and scenarios.
    • Hands-On Learning Approach: CloudThat emphasizes a hands-on learning approach. Learners can access practical labs, real-world projects, and case studies that simulate actual GCP environments. This approach allows learners to apply theoretical knowledge in practical scenarios, enhancing their understanding and skill set.
    • Customized Learning Paths: CloudThat understands that learners have different levels of expertise and varied learning objectives. We offer customized learning paths, catering to beginners, intermediate learners, and professionals seeking advanced GCP skills.
    • Interactive Learning Experience: CloudThat's training programs are designed to be interactive and engaging. We utilize various teaching methodologies like live sessions, group discussions, quizzes, and mentorship to keep learners engaged and motivated throughout the course.
    • Placement Assistance and Career Support: CloudThat often provides placement assistance and career support services. This includes resume building, interview preparation, and connecting learners with job opportunities through our network of industry partners and companies looking for GCP-certified professionals.
    • Continuous Learning and Updates: CloudThat ensures that our course content is regularly updated to reflect the latest trends, updates, and best practices within the GCP ecosystem. This commitment to keeping the content current enables learners to stay ahead in their GCP knowledge.
    • Positive Reviews and Testimonials: Reviews and testimonials from past learners can strongly indicate the quality of training provided. You can Check feedback and reviews about our GCP courses that can provide potential learners with insights into the effectiveness and value of the training.

    Learning objective of the course – Architecting with Google Compute Engine

    • Core Interaction: Use the Google Cloud Console and Cloud Shell to manage services.
    • Networking: Implement VPC networks, HA VPNs, and understand Shared VPC vs. Peering.
    • Compute & Scaling: Configure load balancing and describe autoscaling behavior for VMs.
    • Storage & Security: Manage data storage services and implement encryption and access management.
    • Automation: Automate deployments using Terraform and the Google Cloud Marketplace.
    • Monitoring: Leverage the Google Cloud operations suite for resource visibility.

    Course modules: Download Course Outline

    Lecture Content

    • Platform overview and interaction tools
    • Interacting with the Google Cloud console and Cloud Shell
    • Deploying solutions using Google Cloud Marketplace

    Learning Objectives

    • Interact with the Google Cloud console and Cloud Shell
    • Deploy solutions using Google Cloud Marketplace

    Lab Content

    • Module quiz

    Lecture Content

    • VPC, firewalls, and networking basics
    • Implementing VPC networks and firewall rules

    Learning Objectives

    • Implement VPC networks and firewall rules

    Lab Content

    • Module quiz

    Lecture Content

    • Compute Engine instances and customization
    • Creating and customizing VM instances using Compute Engine

    Learning Objectives

    • Create and customize VM instances using Compute Engine

    Lab Content

    • Module quiz

    Lecture Content

    • Resource hierarchy and roles
    • Administering Identity and Access Management for resources

    Learning Objectives

    • Administer Identity and Access Management for resources

    Lab Content

    • Module quiz

    Lecture Content

    • Cloud Storage, Cloud SQL, and specialized databases
    • Implementing data storage services in Google Cloud

    Learning Objectives

    • Implement data storage services in Google Cloud

    Lab Content

    • Module quiz

    Lecture Content

    • Quotas, labels, and billing
    • Managing and examining billing of Google Cloud resources

    Learning Objectives

    • Manage and examine billing of Google Cloud resources

    Lab Content

    • Module quiz

    Lecture Content

    • Cloud Monitoring and logs
    • Monitoring resources using Google Cloud services
    • Debugger capabilities

    Learning Objectives

    • Monitor resources using Google Cloud services

    Lab Content

    • Module quiz

    Lecture Content

    • HA VPN, Peering, and Interconnect
    • Google Cloud interconnect and peering services available to connect infrastructure
    • When to use Shared VPC and when to use VPC Network Peering

    Learning Objectives

    • Recall the Google Cloud interconnect and peering services available to connect your infrastructure to Google Cloud
    • Determine which Google Cloud interconnect or peering service to use in specific circumstances
    • Create and configure Google Cloud HA VPN
    • Recall when to use Shared VPC and when to use VPC Network Peering

    Lab Content

    • Lab: Virtual Private Networks (VPN)
    • Module quiz

    Lecture Content

    • HTTP/Internal load balancers
    • Various load balancing services
    • v

    Learning Objectives

    • Recall the various load balancing services
    • Determine which Google Cloud load balancer to use in specific circumstances
    • v
    • Configure load balancers and autoscaling

    Lab Content

    • Lab: ILT Configure an HTTP Load Balancer with Autoscaling
    • Lab: Configuring an Internal Load Balancer
    • Module quiz

    Lecture Content

    • Terraform and Cloud Marketplace
    • Automating the deployment of Google Cloud infrastructure services
    • Google Cloud Marketplace outlines

    Lecture Content

    • Automate the deployment of Google Cloud services using Terraform
    • Outline the Google Cloud Marketplace

    Lab Content

    • Lab: Automating the Deployment of Infrastructure Using Terraform
    • Module quiz

    Lecture Content

    • Overview of managed data processing services
    • Leveraging managed services in Google Cloud

    Learning Objectives

    • Describe the managed services for data processing in Google Cloud

    Lab Content

    • Module quiz

    Certification details of Architecting with Google Compute Engine

      CloudThat Course Completion Certificate will be awarded to all learners who complete the training.

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    Course ID: 19192

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    It is a 3-day course when delivered as Instructor-led training.

    Yes, Module 10 is dedicated to automating infrastructure with Terraform.

    Yes, including VPCs, Firewalls, VPNs, and Load Balancing.

    It is "Intermediate" and assumes basic cloud and networking knowledge.

    This course focuses on Virtual Machines (Compute Engine), while the GKE course focuses on containers.

    Yes, it is available in both Instructor-led and On-demand formats.

    Yes, Module 06 covers quotas and managing Google Cloud resource billing.

    Yes, several hands-on labs are included to reinforce the lectures.

    Yes, Module 08 covers connecting on-premises infrastructure to Google Cloud.

    Yes, the course includes interaction with Cloud Shell.

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