Architecting with Google Compute Engine Course Overview:

This Course titled Architecting with Google Compute Engine go beyond the basics of Google Cloud infrastructure. It equips you with the skills to architect and deploy practical solutions for your unique needs. Master hybrid networking, implement secure encryption, manage access and billing, and monitor resources effectively. Boost your cloud confidence and explore the full potential of Google Cloud for your business. 

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

  • Navigate the Google Cloud Console and Cloud Shell with confidence.
  • Discover and deploy powerful solutions directly from the Google Cloud Marketplace.
  • Build secure, private VPC networks and implement robust firewall rules.
  • Create and customize VM instances on Compute Engine like a pro.
  • Implement granular Identity and Access Management to secure your resources.
  • Master Google Cloud's diverse data storage services for various needs.
  • Gain complete control over your Google Cloud resource billing and utilization.
  • Proactively monitor your infrastructure with Google Cloud's powerful monitoring tools.
  • Seamlessly connect your existing infrastructure to the Google Cloud Platform.
  • Configure load balancers and autoscaling for your VM instances to handle any demand.
  • Learn to automate the deployment of Google Cloud infrastructure services for efficiency.

Upcoming Batches

Enroll Online
Start Date End Date

2024-09-30

2024-10-03

2024-10-07

2024-10-10

2024-10-14

2024-10-17

2024-10-21

2024-10-24

2024-10-28

2024-10-31

Architecting with Google Compute Engine Certification: Key Features:

  • Our Google Cloud Platform training modules have 50% - 60% hands-on lab sessions to encourage Thinking-Based Learning (TBL).
  • Interactive-rich virtual and face-to-face classroom teaching to inculcate Problem-Based Learning (PBL).
  • GCP certified instructor-led training and mentoring sessions to develop Competency-Based Learning (CBL).
  • Well-structured Use-Cases to simulate challenges encountered in a Real-World environment during Google Cloud Platform training.
  • Integrated teaching assistance and support through experts designed Learning Management System (LMS) and ExamReady platform.
  • Being an official Google Cloud Platform Training Partner, we offer authored curriculum that are at par with industry standards.

Who Should Attend this Course on Architecting with Google Compute Engine Specialization:

  • Cloud Solutions Architects, DevOps Engineers
  • Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure, with a focus on Compute Engine

Prerequisites

    To get the most out of this course, participants should:
  • Have completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience
  • Have basic proficiency with command-line tools and Linux operating system environments
  • Have systems operations experience, including deploying and managing applications, either on-premises or in a public cloud environment

    • Why choose CloudThat as your Architecting with Google Compute Engine 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 –

    • Differentiate Google Cloud access methods (Console, Cloud Shell, etc.).
    • Identify & explain key VPC objects in Google Cloud (subnets, firewalls, etc.).
    • Configure private network access & Cloud NAT for secure connectivity.
    • Select appropriate CPU, memory, & disk options for VMs based on requirements.
    • Create & customize VM instances using Compute Engine.
    • Understand & apply various IAM roles & members for granular permissions.
    • Implement resource access control using IAM for secure collaboration.
    • Choose the optimal data storage service based on specific needs & use cases.
    • Implement & manage data storage solutions using Google Cloud services.
    • Explain the cloud resource manager hierarchy for structured organization.
    • Leverage quotas & budget alerts to prevent overspending & ensure resource stability.
    • Utilize labels for organized resource categorization & management.
    • Analyze billing data with BigQuery for cost optimization & insights.
    • Create informative charts, alerts, & uptime checks for proactive resource management.
    • Utilize Cloud Debugger to identify & fix errors efficiently.

    Course modules: Download Course Outline

    Objectives:

    • List the different ways of interacting with Google Cloud
    • Interact with the Google Cloud console and Cloud Shell
    • Create Cloud Storage buckets
    • Deploy solutions using Google Cloud Marketplace

    Activities:

    • Lab: Console and Cloud Shell
    • Lab: Infrastructure Preview
    • Module quiz

    Objectives:

    • List the VPC objects in Google Cloud
    • Explore VPC Networking
    • Implement Private Google Access and Cloud NAT

    Activities:

    • Lab: VPC Networking
    • Lab: Implement Private Google Access and Cloud NAT
    • Module quiz

    Objectives:

    • Recall the CPU and memory options for virtual machines
    • Describe the disk options for virtual machines
    • Explain VM pricing and discounts
    • Create and customize VM instances using Compute Engine

    Activities:

    • Lab: Creating Virtual Machines
    • Lab: Working with Virtual Machines
    • Module quiz

    Objectives:

    • Describe the IAM resource hierarchy
    • Explain the different types of IAM roles
    • Recall the different types of IAM members
    • Implement access control for resources using IAM

    Activities:

    • Lab: Cloud IAM
    • Module quiz

    Objectives:

    • Differentiate between Cloud Storage, Cloud SQL, Cloud Spanner, Firestore and Cloud Bigtable
    • Choose a data storage service based on your requirements
    • Implement data storage services

    Activities:

    • Lab: Cloud Storage
    • Lab: Implementing Cloud SQL
    • Module quiz

    Objectives:

    • Describe the cloud resource manager hierarchy
    • Recognize how quotas protect Google Cloud customers
    • Organize resources using labels
    • Explain the behavior of budget alerts in Google Cloud
    • Examine billing data with BigQuery

    Activities:

    • Lab: Examining Billing Data with BigQuery
    • Module quiz

    Objectives:

    • Describe the services for monitoring, logging, error reporting, tracing, and debugging
    • Create charts, alerts, and uptime checks for resources with Cloud Monitoring
    • Identify and fix errors using Cloud Debugger

    Activities:

    • Lab: Resource Monitoring
    • Lab: Error Reporting and Debugging
    • Module quiz

    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

    Activities:

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

    Objectives:

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

    Activities:

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

    Objectives:

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

    Activities:

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

    Course Fee

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    Course ID: 19192

    Course Price at

    $1199 + 0% TAX
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    Frequently Asked Questions

    This course goes beyond basic VM creation and dives into advanced topics like: Architecting custom solutions tailored to your specific needs. Implementing hybrid networking for seamless on-premises and cloud integration. Mastering secure encryption techniques for data protection. Employing granular Identity and Access Management (IAM) for resource control. Leveraging autoscaling to handle fluctuating traffic efficiently. Automating infrastructure deployments for streamlined management.

    Absolutely! We break down hybrid networking into clear, digestible steps, using practical examples and visuals. You'll learn key concepts like VPCs, subnets, and firewalls, and gain the confidence to design and implement secure hybrid cloud environments.

    The course equips you with robust security practices, including: Implementing secure encryption across your data lifecycle. Configuring firewall rules to restrict unauthorized access. Granular IAM controls to assign specific permissions to different users and teams. Monitoring security events and implementing proactive measures to prevent breaches.

    Yes! We dive deep into Google Cloud's diverse data storage solutions, including Cloud Storage, Cloud SQL, Cloud Spanner, Firestore, and Cloud Bigtable. You'll learn their strengths and weaknesses, allowing you to choose the optimal storage solution for your specific needs and data types.

    Definitely! We'll cover valuable cost-saving strategies like: Choosing the right VM types and disk configurations for your workloads. Utilizing quotas and budgets to prevent overspending. Analyzing billing data with BigQuery to identify cost inefficiencies. Automating resource scaling to avoid paying for idle resources.

    In this course on Architecting with Google Compute Engine Specialization, You'll learn to leverage Google Cloud's powerful monitoring tools, including Cloud Monitoring and Cloud Debugger, to: Proactively monitor your infrastructure and resources for potential issues. Set up alerts to notify you of anomalies and potential downtime. Identify and troubleshoot errors using logging and debugging tools. Implement effective backup and disaster recovery strategies for minimizing downtime.

    Yes! The course covers various methods for connecting your on-premises infrastructure to Google Cloud, including: VPN: Create secure tunnels for data exchange between your network and Google Cloud. Interconnect: Establish dedicated, high-bandwidth connections for optimal performance. Peering: Connect directly to Google Cloud without internet routing for faster data transfer.

    The course covers autoscaling in detail, demonstrating how to: Configure load balancers to distribute traffic across your VM instances. Set up autoscaling rules to automatically adjust the number of VMs based on demand. Ensure high availability and responsiveness even during sudden traffic spikes.

    Absolutely! You'll learn to deploy and manage Google Cloud resources using infrastructure as code tools like Terraform, automating repetitive tasks and streamlining your workflow.

    Yes, we offer free webinars that glimpse the course content and learning style. This will help you determine if the full course is the right fit for you.

    Enquire Now