Empower Your Engineering Teams to Deploy and Operate on Google Compute Engine

Architecting with Google Compute Engine is an instructor-led program that teaches teams how to deploy and manage solutions using Google Cloud infrastructure, with Compute Engine at the core. Your engineers learn to provision virtual machines, design VPC networks, control access with Cloud IAM, choose the right storage and database services, automate infrastructure, and build systems that scale and stay reliable in production. It maps to Google's official Architecting with Google Compute Engine curriculum.

As organizations move business-critical workloads onto Google Cloud, this program helps your teams build infrastructure that stays scalable, secure, and cost-efficient under real production load. Empower your people with expert-led on-site, off-site, and virtual sessions delivered by Edstellar, a premier corporate training provider serving organizations worldwide. Built around your goals, the program turns Google Compute Engine skills into lasting capabilities that lift performance across your engineering, platform, and operations teams.

The payoff is measurable: fewer outages from better reliability and autoscaling design, lower cloud spend from right-sized machine types and managed services, and faster delivery from automated, repeatable infrastructure. Teams leave able to defend infrastructure decisions to stakeholders and to prepare for the Google Cloud Associate Cloud Engineer and Professional Cloud Architect credentials, giving your organization in-house cloud authority instead of recurring consulting bills.

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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

By the end of this program, your team will be equipped to deploy, scale, and operate production infrastructure on Google Compute Engine and to justify every architecture decision.

  • Provision and manage Compute Engine virtual machines sized and priced for the workload.
  • Design secure VPC networks with subnets, firewalls, and hybrid connectivity.
  • Apply Cloud IAM roles and least-privilege access across the organization.
  • Select the right storage and database services and balance cost, latency, and durability.
  • Automate infrastructure with templates, images, and managed instance groups for repeatable deployments.
  • Build reliability and scale through load balancing, autoscaling, monitoring, and logging.

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. Google Cloud and Compute Engine Foundations
    • Google Cloud resource hierarchy: organizations, folders, and projects
    • Interacting with Google Cloud: Console, Cloud Shell, and gcloud CLI
    • Regions, zones, and the Compute Engine service model
    • Billing, quotas, and cost-control basics
  1. Virtual Networks with VPC
    • Designing VPC networks, subnets, and IP address planning
    • Firewall rules, routes, and network tags
    • Internal and external load balancing options
    • DNS, Cloud NAT, and private Google access
  1. Compute Engine Virtual Machines
    • Choosing machine types, families, and custom configurations
    • Disks, images, snapshots, and persistent storage
    • Metadata, startup scripts, and instance customization
    • Preemptible and spot VMs for cost optimization
  1. Cloud IAM and Security
    • IAM roles, policies, and least-privilege design
    • Service accounts and workload identity
    • Resource-level access control and audit logging
    • Encryption, key management, and network security controls
  1. Storage and Database Services
    • Matching data to Cloud Storage, Filestore, and persistent disks
    • Selecting databases: Cloud SQL, Spanner, Firestore, and Bigtable
    • Balancing cost, consistency, latency, and durability
    • Data lifecycle, backup, and retention design
  1. Resource Management and Monitoring
    • Resource hierarchy, labels, and quotas at scale
    • Cloud Monitoring, Logging, and observability design
    • Alerting, dashboards, and incident response
    • Cost monitoring and ongoing optimization
  1. Interconnecting Networks
    • Cloud VPN, Cloud Interconnect, and peering options
    • Shared VPC and VPC Network Peering patterns
    • Hybrid and multi-environment connectivity design
    • Network performance and security trade-offs
  1. Load Balancing and Autoscaling
    • Managed instance groups and instance templates
    • Global and regional load balancing strategies
    • Autoscaling policies and capacity planning
    • Designing for high availability across zones and regions
  1. Infrastructure Automation and Managed Services
    • Infrastructure as code with templates and Terraform
    • Automated, repeatable environment provisioning
    • Managed services: GKE, App Engine, Cloud Run, and Cloud Functions
    • When to choose managed services over self-managed VMs

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?

Participants should be comfortable with basic Google Cloud concepts and have some hands-on experience deploying applications or managing infrastructure, equivalent to completing Google Cloud Fundamentals. Familiarity with networking basics, the command line, and at least one programming or scripting language helps teams get the most from the hands-on labs, though Edstellar tailors depth and pace to your group's starting level.

Request a Quote for your Corporate Training Requirements

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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

Get a Proposal Shaped to Your Needs

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.

        Proven Quality

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

        Industry-Relevant Curriculum

        Our programs are built by experts to match the demands of today's industry.

        Fully Customizable

        Every program can be tailored to your organization's goals.

        Comprehensive Support

        We provide pre- and post-session support for a complete learning experience.

        Global Multi-Location & Multilingual Training Delivery

        We deliver in multiple languages to support diverse global teams.

        Hear from Organizations We've Trained

        "Our platform team now provisions Compute Engine environments the same way every time. Spin-up that used to take days happens in hours after the training."

        Priya Nair

        VP of Engineering,

        FinServ Technology Group

        "The instructor mapped every module to our own Google Cloud projects. We left with VPC and IAM patterns we still use as our standard."

        Daniel Okafor

        Cloud Practice Lead,

        Global Logistics Provider

        "Customized, onsite, and paced for our engineers. The autoscaling and storage sessions alone changed how we size and budget our Google Cloud spend."

        Marta Ruiz

        Head of Cloud Platform,

        Healthcare SaaS Company

        "We trained two squads ahead of a major migration. They now design reliable, cost-aware Compute Engine infrastructure with confidence."

        Kenji Tanaka

        Director of Infrastructure,

        Enterprise Retail Group

        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.

        Recognition That Motivates Your Team

        Frequently Asked Questions

        What is the Architecting with Google Compute Engine training?

        It is an instructor-led corporate program that teaches teams how to deploy, scale, and operate solutions on Google Cloud infrastructure, with Compute Engine at the core. It maps to Google's official Architecting with Google Compute Engine curriculum and covers networking, IAM, storage, automation, and reliability.

        Who should attend this training?

        Cloud engineers, systems administrators, solutions architects, DevOps engineers, and technical leads who deploy or operate workloads on Google Cloud. It suits teams standardizing their infrastructure practice or preparing for a Google Cloud certification.

        Is the training available onsite and online?

        Yes. Edstellar delivers this program virtually, onsite at your office, and offsite, so the format fits your team's schedule and location.

        Can the content be customized to our environment?

        Yes. Trainers tailor modules, examples, and labs to your actual Google Cloud projects, tools, and goals, so the learning maps directly to your stack.

        How long is the training?

        The program typically runs 24 to 32 hours and can be scheduled as consecutive days or spread across sessions to suit your team's availability.

        What are the prerequisites?

        Basic Google Cloud familiarity and some hands-on cloud or infrastructure experience. Edstellar adjusts depth and pace to your group's level.

        Does this prepare my team for a Google Cloud certification?

        Yes. The skills align with the Google Cloud Associate Cloud Engineer and Professional Cloud Architect credentials and give teams a strong foundation for certification preparation.

        What outcomes can we expect for the business?

        Fewer reliability incidents, right-sized and lower cloud spend, faster delivery through automated infrastructure, and in-house cloud authority instead of recurring consulting costs.

        How many participants can join a group session?

        Edstellar runs cohort-based corporate sessions sized to your team. Group delivery keeps the training collaborative and lets trainers focus on your shared use cases.

        How do we get started and request a quote?

        Share your team size, goals, and preferred format, and Edstellar returns a tailored proposal. Use the enquiry form to request a custom quote with no obligation.

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