Drive Team Excellence with Architecting with Google Compute Engine Corporate Training

Google Compute Engine is a cloud computing service offered by Google that provides virtual machines on demand for hosting applications and scaling workloads. Architecting with Google Compute Engine training course is designed to teach professionals how to develop and manage scalable, secure, and highly available cloud infrastructure using Google Compute Engine. The course is essential for organizations to leverage cloud technology for business innovation and growth.

Edstellar's instructor-led Architecting with Google Compute Engine training course offers virtual/onsite training modes conducted by industry experts with extensive domain knowledge. The training is designed to be highly practical, with a curriculum that can be customized to meet the team's specific needs. Edstellar combines theoretical knowledge with hands-on practice, ensuring professionals gain the skills to effectively architect solutions using Google Compute Engine.

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Skills Your Employees Will Gain

These are the core, hands-on capabilities your team builds during the program.

  • Cloud Computing
    Cloud Computing is the delivery of computing services over the internet, enabling scalable resources and flexibility. This skill is important for IT roles, enhancing efficiency and innovation.
  • Virtual Machine Management
    Virtual Machine Management involves creating, configuring, and maintaining virtual machines. This skill is important for IT professionals, as it ensures efficient resource utilization and system reliability.
  • Scalability Planning
    Scalability Planning is the ability to design systems that can grow efficiently. this skill is important for roles in it and project management, ensuring resources meet demand.
  • Networking Configuration
    Networking Configuration involves setting up and managing network devices and protocols to ensure seamless communication. This skill is important for IT roles, as it ensures reliable connectivity and security.
  • Security Implementation
    Security Implementation involves deploying measures to protect systems and data from threats. This skill is important for IT roles to ensure data integrity and compliance.
  • Resource Optimization
    Resource Optimization is the strategic allocation and management of resources to maximize efficiency and minimize waste. This skill is important for roles in project management, operations, and supply chain, as it enhances productivity and reduces costs.

What Your Team Will Achieve After This Training

  • Apply advanced configurations and optimizations in Google Compute Engine instances to enhance performance and meet specific workload requirements efficiently
  • Analyze resource utilization and leverage Compute Engine features effectively to scale infrastructure dynamically, ensuring seamless scalability 
  • Implement robust security measures and access controls in Compute Engine environments to safeguard sensitive data and uphold compliance standards effectively
  • Utilize Compute Engine's networking capabilities to design resilient and high-performance architectures, ensuring reliable connectivity and seamless data transfer
  • Explore integration possibilities with other Google Cloud services and third-party tools to create comprehensive and cohesive solutions, maximizing the value of Google Compute Engine in diverse enterprise environments

Topics & Program Outline

The curriculum is organized into focused modules built by industry experts and delivered virtually or on-premise. Interactive sessions reflect the evolving demands of the workplace, keeping the learning both relevant and practical.

  1. Ways of interacting with Google Cloud
    • Web console
    • Command Line Interface (CLI)
    • API
  2. Using the Cloud Console and Cloud Shell
    • Accessing Cloud Console
    • Navigating the Cloud Console interface
    • Command line operations in Cloud Shell
  3. Creating Cloud storage buckets
    • Creating buckets using Cloud Console
    • Creating buckets using gsutil command line tool
  4. Using the Google Cloud Marketplace to deploy solutions
    • Browsing solutions in the Marketplace
    • Deploying solutions from the Marketplace
  1. List of VPC objects in Google Cloud
    • Subnets
    • Routes
    • Firewall rules
  2. Differentiating between the different types of VPC networks
    • Default VPC
    • Custom VPC
    • Shared VPC
  3. Implementing VPC networks and firewall rules
    • Creating VPC networks
    • Configuring firewall rules
  4. Implementing Private Google Access and Cloud NAT
    • Enabling Private Google Access
    • Configuring Cloud NAT
  1. CPU and memory options for virtual machines
    • Selecting CPU types and sizes
    • Choosing memory configurations
  2. Disk options for virtual machines
    • Persistent disks
    • Local SSDs
  3. VM pricing and discounts
    • Pricing models
    • Discounts and sustained use discounts
  4. Compute engine to create and customize VM instances
    • Creating VM instances
    • Customizing VM configurations
  1. Cloud IAM resource hierarchy
    • Advantages        
  2. Different types of IAM roles
    • Primitive roles
    • Predefined roles
    • Custom roles
  3. Different types of IAM members
    • User accounts
    • Service accounts
    • Google Groups
  4. Implement access control for resources using Cloud IAM
    • Assigning roles to members
    • Setting up IAM conditions
  1. Differentiating between cloud storage, cloud SQL, cloud Spanner, cloud Firestore, and cloud Bigtable
    • Unique features of each storage service
  2. Choosing a data storage service based on the requirements
    • Evaluating factors such as scalability, performance, and cost-effectiveness
  3. Implementing data storage services
    • Configuring and deploying cloud storage buckets, cloud SQL databases, Cloud Spanner instances, Cloud Firestore databases, and Cloud Bigtable clusters
  1. Cloud resource manager hierarchy
    • Organization of resources in Google Cloud
  2. Recognizing how quotas protect Google Cloud customers
    • Monitoring and managing resource usage
  3. Using labels to organize resources
    • Assigning labels to resources for better management and organization
  4. The behavior of budget alerts in Google Cloud
    • Setting up budget alerts to monitor resource spending
  5. Examining billing data with BigQuery
    • Analyzing billing data to gain insights into resource usage and costs
  1. Services for monitoring, logging, error reporting, tracing, and debugging
    • Monitoring services available in Google Cloud
  2. Creating charts, alerts, and uptime checks for resources with Cloud Monitoring
    • Configuring monitoring charts, setting up alerts, and defining uptime checks
  3. Using Cloud Debugger to identify and fix errors
    • Leveraging Cloud Debugger to diagnose and troubleshoot application errors in real-time
  1. Google Cloud interconnect and peering services are available to connect the infrastructure to Google Cloud
    • Options for connecting on-premises networks to Google Cloud
  2. Determining which Google Cloud interconnect or peering service to use in specific circumstances
    • Assessing network requirements and selecting the appropriate interconnect or peering service
  3. Creating and configuring VPN gateways
    • Setting up Virtual Private Network (VPN) gateways for secure communication between networks
  4. When to use Shared VPC and when to use VPC Network Peering
    • Understanding use cases for shared VPC and VPC network peering in multi-project environments
  1. Various load balancing services
    • Exploring different types of load balancing services available in Google Cloud
  2. Determining which Google Cloud load balancer to use in specific circumstances
    • Evaluating load balancing requirements and selecting the appropriate load balancer
  3. Autoscaling behavior
    • How autoscaling automatically adjusts resources based on demand
  4. Configuring load balancers and autoscaling
    • Setting up load balancers and configuring autoscaling policies for applications
  1. Automating the deployment of Google Cloud services using Deployment Manager or Terraform
    • Infrastructure as code concepts
    • Using Deployment Manager for automated deployments
    • Using Terraform for automated deployments
  2. Outlining the Google Cloud marketplace
    • Exploring solutions available in the marketplace
    • Deployment options
  1. Managed services for data processing in Google Cloud
    • Exploring fully managed data processing services such as BigQuery, Dataflow, Dataproc, and Pub/Sub

Who Should Attend?

This program suits professionals at many levels across the organization, including:

  • Cloud Engineers
  • Solution Architects
  • System Architects
  • Infrastructure Engineers
  • DevOps Engineers
  • Software Engineers
  • Network Engineers
  • IT Administrators
  • System Administrators
  • Security Engineers
  • Back-end Developers
  • Managers

What are the Prerequisites?

Professionals with basic proficiency in command-line tools and Linux operating system environments and familiarity with the Google Cloud Fundamentals can take the Architecting with Google Compute Engine training course.

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Delivering Training for Organizations across 100 Countries and 10+ Languages

Choose the Format That Fits Your Team

We design training your teams actually engage with, and deliver it the way that suits you best. Through a vetted global trainer network, Edstellar runs sessions in 10+ languages with consistent quality anywhere.

Virtual Architecting with Google Compute Engine Training

Virtual / online: expert-led live sessions delivered anywhere, with consistency and easy scheduling.

We deliver anywhere worldwide
Standardized content for consistent outcomes
Join from own workspace, no travel
We scale to large groups across sites
Interactive tools keep remote learners engaged
On-site Architecting with Google Compute Engine Training

On-site (in-house): immersive, instructor-led learning at your office.

Our trainers run face-to-face at your office
We tailor setup/content to your workplace and tools
Group exercises drive collaboration
Live demos +  hands-on practice
Direct trainer access to clarify doubts
Off-site Architecting with Google Compute Engine Training

Off-site: focused, instructor-led group learning away from everyday workplace distractions.

We host your teams at a venue of your preferred choice
Built-in group activities for bonding
Full uninterrupted schedule for focus/retention
Boosts morale and signals commitment

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Need pricing for onsite, offsite, or virtual delivery? Get a proposal tailored to your team's needs.

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        What Sets Edstellar Apart

        Experienced Trainers

        Our trainers are drawn from a vetted global network and bring years of industry expertise, keeping every session practical and impactful.

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        With a strong global track record, Edstellar is known for quality and engaging delivery.

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        Hear from Organizations We've Trained

        "The Architecting with Google Compute Engine training exceeded my expectations in every way. As a Senior Software Engineer, I gained comprehensive knowledge of strategic frameworks that transformed my approach to incredibly practical and immediately applicable. I've been able to drive meaningful innovation and improvement within my department. The instructor's expertise in interactive labs made complex concepts crystal clear and actionable.”

        Stewart Palmer

        Senior Software Engineer,

        IT Services and Solutions Provider

        "The Architecting with Google Compute Engine training enhanced my ability to architect and implement sophisticated operational excellence strategies. Understanding practical applications through intensive real-world case studies exercises initiatives. Our solution delivery efficiency and quality have increased substantially across the board. The detailed exploration of practical simulations provided methodologies I leverage in every engagement.”

        Andreas Larsen

        Senior Software Engineer,

        Digital Innovation Platform

        "This Architecting with Google Compute Engine course provided our team with comprehensive advanced methodologies capabilities we immediately put into practice. As a Senior Software Engineer managing complex technical mastery significantly enhanced our delivery capacity. Our team's capability maturity level increased by three full stages within six months. The training fundamentally improved our team's performance metrics and overall efficiency.”

        Neha Desai

        Senior Software Engineer,

        Technology Consulting Services Company

        “Edstellar’s IT & Technical training programs have been instrumental in strengthening our engineering teams and building future-ready capabilities. The hands-on approach, practical cloud scenarios, and expert guidance helped our teams improve technical depth, problem-solving skills, and execution across multiple projects. We’re excited to extend more of these impactful programs to other business units.”

        Aditi Rao

        L&D Head,

        A Global Technology Company

        Recognition That Motivates Your Team

        Upon successful completion of the training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development.

        This certificate validates the employee's acquired skills and is a powerful motivator, inspiring them to enhance their expertise further and contribute effectively to organizational success.

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