Architecting with Google Cloud Corporate Training
Build your team's edge in cloud design decisions with instructor-led Google Cloud architecture training.
Give your enterprise teams the architecture skills that turn cloud spend into business value. Edstellar, a corporate training company, delivers this Architecting with Google Cloud corporate training with proven patterns for secure, resilient, and cost-optimized systems. Delivered live by instructors, the hybrid program pairs guided labs with real-world design exercises tailored to your stack, roles, and goals.
Instructor-led group trainingVirtual / on-site / off-site10 languagesDelivered inEnglish, Spanish, Mandarin, German, Arabic, Portuguese, Hindi, French, Japanese, Italian100+ countriesWe have delivered inUnited States, United Kingdom, India, Canada, Germany, France, Netherlands, UAE, Saudi Arabia, Singapore, Australia, Japan, Brazil, South Africa and 90+ more countries
How we build a Google Cloud-ready team
The Edstellar CLOUD CAPABILITY MODEL
Baseline cloud skills
Skill checks and reviews map your team's Google Cloud design experience before the program begins.
Standardize architectures
Set shared design patterns for resilience, security, and cost control that every team follows.
Practice in guided labs
Build and troubleshoot Google Cloud architectures in instructor-led labs, from VPC design to failover drills.
Measure design maturity
Lab assessments and Skills Matrix reporting re-benchmark designs and show capability rising.
Scale across cohorts
Roll out proven Google Cloud patterns to new teams and regions with consistent instructor-led delivery.
Need more than one program?Get a group quote
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Program Overview: What is Architecting with Google Cloud?
Architecting with Google Cloud is a 32-hour instructor-led program for cloud engineers and solution architects designing workloads on Google Cloud. It covers VPC networking, compute and container patterns, data and analytics design, security and IAM, cost modeling, and multi-region resilience across eight modules. Participants learn to architect enterprise-grade solutions that are secure, cost-aware, and highly available.
Each module pairs short instructor teach-backs with guided lab time in live Google Cloud projects, so learners build as they learn. They design VPC networks, deploy containerized workloads, configure IAM and security controls, and stress-test failover across regions. Instructors coach architecture trade-offs and review each design, giving feedback at every checkpoint. The program closes with a capstone where each team architects a complete enterprise solution on Google Cloud and defends it in a design review.
Cloud teams often lift and shift workloads into Google Cloud, then discover spiraling costs, flat security, and single-region fragility only after launch. This program teaches the opposite habit: designing from network, security, and cost foundations up. Participants learn to weigh architecture trade-offs early, when a better design is still cheap to adopt.
Teams present an enterprise GCP solution with the costs and risks spelled out. Stakeholders get architects who answer the hard questions before being asked.
Well-architected cloud systems reduce downtime, control spend, and speed delivery. Participants practice the trade-offs behind every decision: availability versus cost, agility versus control, and speed versus security, so their designs hold up under production pressure. Teams leave with reusable Google Cloud architecture patterns, a cost-modeling approach, and a security baseline they can apply to the next workload they ship.
What's Included in this Workshop for Your Enterprise Teams
- 1
Instructor-led design sessions
Live concepts, demos, and architecture reviews.
- 2
Guided architecture labs
Hands-on builds for networking, scaling, and security.
- 3
Design and cost exercises
Model costs and compare design trade-offs.
- 4
Capstone build
Design, cost, and secure a full architecture with review.
- 5
Assessment and support
Skill checks, lab feedback, and post-training support.
- Instructor-led (virtual/onsite/hybrid)
- Training delivered at any of your offices globally
- 10+ languages
- Schedule around your calendar
- Group size set along with you
- Run as one cohort or split into batches
- Recurring and annual options
- Trainer sourcing, matching and logistics
Build your team's skills. Anywhere in the world.
Real-world use cases
from day one
Instructor-led training
for your teams
Delivered globally
in 100+ countries
Enterprise Training Solutions Customized for Your Company
One partner for instructor-led corporate training, delivered the way your teams work.
Request a Training Quote- Customized Training Delivery
- Scale Your Training: Small to Large Teams
- In-person Onsite, Live Virtual or Hybrid Training Modes
- Plan from 2000+ Industry-ready Training Programs
- Hands-On Labs on Live Infrastructure, Led by Industry Experts
Architecting with Google Cloud Course Topics and Program Outline
A 32-hour hybrid program across eight modules, blending instructor-led sessions with guided labs on real Google Cloud architecture workloads, closing with a full design-and-build capstone.
Built by Edstellar with cloud architecture practitioners
Built by engineers who design and run production Google Cloud workloads, shaped around your stack and use cases.
Skill checks baseline your team's Google Cloud design experience and architecture habits before training begins.
Instructor-led sessions build core Google Cloud foundations: resource design, networking, and service selection.
Guided labs put patterns to work: teams build VPCs, secure workloads, and optimize costs on real Google Cloud services.
Real-world scenarios and the capstone build apply every pattern to designs your team will ship in production.
From Google Cloud foundations to a full architecture capstone, every pattern is practiced in guided labs.
Delivered as
Delivered as a hybrid program of live instruction and guided labs, scheduled around your team's calendar in flexible batches.
Set up a clean project baseline: configure billing alerts, explore the console and command-line tools, and map a sample workload to regions.
learna)Resource hierarchy: organizations, folders, and projects
b)Core services overview: compute, storage, and networking
c)Console, command-line tools, and automation basics
d)Billing accounts and budget alert setup
Build a segmented VPC with firewall rules, add global load balancing, and connect an on-premises simulation over VPN.
practicea)VPC design: subnets, routes, and firewall rules
b)Global and regional load balancing patterns
c)Hybrid connectivity: VPN and interconnect options
d)Private services access and Cloud DNS design
e)Lab: build a segmented multi-subnet VPC
Design a GKE cluster with autoscaling node pools, then deploy and scale a containerized service behind a load balancer.
practicea)Choosing compute: VMs, Kubernetes, and serverless
b)GKE cluster design: node pools and autoscaling
c)Stateless services and event-driven messaging
d)Lab: deploy and scale a containerized workload
Model a BigQuery warehouse schema and build a streaming and batch pipeline from ingestion to a reporting view.
practicea)Storage tiers: object, block, and file selection
b)BigQuery data warehouse design
c)Streaming and batch data pipelines
d)Lab: build an ingestion-to-reporting flow
Apply least-privilege IAM roles and service accounts, enable encryption and audit logging, and verify the hardened design.
practicea)IAM design: roles, service accounts, least privilege
b)Encryption and network security controls
c)Organization policies, logging, and audit trails
d)Lab: harden a workload end to end
Run a cost review on a live architecture: apply labels, model commitments, and execute a rightsizing pass.
applya)Pricing models and commitment discounts
b)Cost visibility: labels, exports, budgets
c)Rightsizing, autoscaling, lifecycle policies
d)Lab: optimize a live architecture for cost
Design a multi-region failover plan and execute a runbook drill against a multi-tier application.
applya)High-availability patterns across zones and regions
b)Backup, restore, and failover for stateful data
c)SRE practices: SLIs, SLOs, error budgets
d)Lab: test a failover runbook
Design, cost, and secure a complete enterprise architecture, then defend it in the review board.
applya)End-to-end architecture for an enterprise scenario
b)Trade-off documentation: cost, security, resilience
c)Instructor-led architecture review board
Customize this program tailored to your team?
Tell us your training needs: what your team already works with, the level they’re at, and the topics you want them to focus on. We’ll adjust the modules, duration and hands-on labs, and send you a customized outline for your group.
Key Skills and Outcomes Your Team Will Gain
By the end of the program, your team will be able to design, secure, and optimize production-ready Google Cloud architectures.
Design multi-tier architectures
Structure presentation, application, and data tiers with clean boundaries on Google Cloud.
Architect VPC networks
Design segmented VPC layouts, choose load balancing patterns, and plan hybrid connectivity for enterprise workloads.
Apply IAM and security controls
Enforce least-privilege access, encryption, and network controls across every layer of the design.
Design for resilience and DR
Apply multi-zone and multi-region patterns with backup and failover strategies so applications survive outages.
Model and optimize cloud costs
Use pricing models, discounts, and rightsizing to keep architectures cost-efficient as they scale.
Select cloud services
Match VMs, Kubernetes, serverless, and storage tiers to workload requirements and growth plans.
Defend design decisions
Document trade-offs and present architectures in review-board style sessions with clear rationale.
Teams that Benefit from this Architecting with Google Cloud Group Training
Cloud architects, platform engineers, and data teams learn side by side in this group training, each practicing the design workflows they own. Content adapts to role and experience, so every cohort strengthens the architecture skills it uses daily.
Ship designs that hold up under production load and audit.
Architects standardize resilient patterns across services, align designs to cost and security guardrails, and review peer architectures with confidence.
Workflow friction
- Inconsistent architecture standards across teams
- Designs that fail under real traffic spikes
- Cost and security trade-offs made too late
How the program helps
- Proven multi-tier and multi-region design patterns
- Architecture review habits that catch risks early
- Cost and security guardrails baked into designs
Practice use cases
- Multi-tier design labs
- Failover drills
- Well-Architected reviews
Run platforms your product teams can build on safely.
Platform engineers build landing zones, shared networks, and guardrails that let product teams ship fast without breaking security or cost budgets.
Workflow friction
- Ad-hoc projects with no consistent baseline
- Network and IAM debt slowing every release
- No shared guardrails for cost and security
How the program helps
- Landing zone and VPC design patterns
- Reusable IAM and policy guardrails
- Cost and quota visibility for teams
Practice use cases
- Landing zone labs
- Shared VPC builds
- Policy guardrail drills
Automate delivery without losing control of the design.
DevOps engineers connect architecture to operations, automating deployments, observability, and failover so designs perform the way they were drawn.
Workflow friction
- Manual deploys that drift from the design
- Failover plans never tested until an outage
- Observability added after incidents, not before
How the program helps
- Deployment and scaling automation patterns
- Tested failover runbooks for critical apps
- SLO-based observability from day one
Practice use cases
- CI/CD design labs
- Failover test drills
- SLO setup sessions
Design data platforms that scale without cost surprises.
Data engineers architect storage, pipelines, and analytics that stay fast and affordable as data grows, with security and governance built in.
Workflow friction
- Storage costs growing faster than data value
- Pipelines that break under peak loads
- Analytics and security teams out of sync
How the program helps
- Tiered storage and lifecycle patterns
- Scalable streaming and batch pipelines
- Governed analytics with built-in controls
Practice use cases
- Lakehouse design labs
- Pipeline scaling drills
- Cost review exercises
Each cohort works through role-relevant labs and design exercises, then leaves with reusable architecture patterns for day-to-day work.
Prerequisites: This program benefits cloud architects, platform engineers, and DevOps teams who design or run Google Cloud workloads. Basic cloud concepts and networking familiarity help but are not required, and no prior Google Cloud certification is needed. Sessions adapt to each cohort's tools and context, so every team practices on its own stack.
Cloud Engineer to Cloud Architect
This path tracks each skill from first exposure to confident practice across the program. Foundation skills are introduced in early modules; intermediate skills are built in guided labs; advanced and very advanced capability is demonstrated through integration exercises and the capstone review board.
A program that grows with cloud careers, from first Google Cloud design to confident production architecture.
Mixed cohort, or several teams at once?
We can tailor the training to different teams, roles, and experience levels within the same program.
Certificate of Training Completion.
On successful completion, employees receive an Edstellar course completion certificate, recognizing their commitment to ongoing learning and professional development. It validates the skills they have built and motivates them to keep growing and contribute to organizational success.
Earned, not attended. Awarded on completion of all hands-on labs and the capstone project.
Training Delivery Modes: Virtual, Onsite and Hybrid
Delivered as a hybrid program of live instruction and guided labs, with onsite and live virtual options. Every format includes the same labs, assessments, and capstone review.
Hybrid Training
Instructor-led sessions pair live concept delivery with supervised hands-on labs. Your team designs VPC layouts, runs failover drills, and hardens workloads with an expert guiding every step.
- Live concept sessions with an expert instructor
- Supervised hands-on labs in every module
- Design exercises tailored to your workloads
- Measurable outcomes tracked to the capstone
Onsite Training
Delivered at your offices with the agenda adapted to your workloads. Labs and design reviews use your team's real Google Cloud architecture challenges.
- Delivered at any of your offices globally
- Agenda adapted to your architecture priorities
- Labs run on your team's real workloads
- Group size set along with you
Live Virtual Training
Instructor-led online sessions on your preferred platform with breakout labs and live troubleshooting. Teams collaborate on shared design exercises with real-time feedback from the trainer.
- Live virtual instructor-led sessions
- Breakout labs with real-time troubleshooting
- Collaborative design exercises online
- Same labs and capstone as other formats
Need a training format that works for your team?
Full days, half days across weeks, or split by module. Tell us the delivery window and we schedule the cohort around it.
Frequently Asked Questions
Share team size, preferred dates, and delivery mode in the lead form. We reply with a tailored proposal covering scope, schedule, and pricing.
Yes. Book a short discovery call and we will map your training needs, audience, and timelines before sharing a tailored plan.
Yes. Live virtual sessions run instructor-led on your preferred platform, with guided labs, breakout design exercises, and real-time feedback.
Yes. We deliver onsite at your offices, with labs and design exercises adapted to your team's Google Cloud workloads and priorities.
The program runs 32 hours across eight modules, delivered as flexible batches scheduled around your team's calendar.
Question not answered here?
Put it in the request. A training specialist answers it directly, within one business day.
Where this Training Fits in Your Team's learning path.
Architecture on Google Cloud follows the fundamentals. Your team designs scalable, reliable GCP workloads here using the core services it already knows. Network design comes next, since connectivity shapes every architecture, and hybrid with Anthos extends the same designs to on-premises and other clouds.
Why Choose Edstellar as Your Architecting with Google Cloud Corporate Training Provider
When comparing providers, Edstellar is the training partner teams choose for Google Cloud architecture expertise and 5+ years of corporate training experience. Our methodology blends concise instruction with guided labs, and we share each trainer profile before booking. The result is measurable quality in the architectures your team ships.
EXPERT TRAINERS
YEARS DELIVERING
ORGANIZATIONS TRAINED
CERTIFIED
Tailored
Content is shaped around your Google Cloud footprint, roles, and architecture challenges before the first session.
Proven Methodology
A 5+ years track record of training cloud teams with a diagnose, standardize, practice, measure, and scale model.
Practice-Based Learning
Your team practices in 6 labs across 8 modules, building and fixing real Google Cloud architectures.
Expert Trainers
5,000+ certified trainers matched to your stack, with a full trainer profile shared before booking.
Global Scale
One program delivered worldwide in the formats that fit your team, with consistent content and standards everywhere.
Measurable Outcomes
Baseline-to-capstone measurement with Skills Matrix reporting on your team's Google Cloud architecture capability.
Design Google Cloud Architectures with Tested Resilience and Clear Trade-Offs
Our Google Cloud architecture training links networking, compute, data, and security decisions to a coherent enterprise design. Participants build and inspect representative components, model costs, and rehearse recovery. The capstone asks teams to defend their architecture using workload requirements, practical observations, and explicit assumptions rather than a collection of service names.
- Step 01
Consult
We review your workload requirements and architectural responsibilities, identifying where networking, container platforms, data design, governance, or disaster recovery needs deeper practice.
- Step 02
Plan
We establish project foundations before VPC and compute patterns, data pipelines, IAM controls, cost modeling, and multi-region recovery in the enterprise design exercise.
- Step 03
Align
We align architecture, platform, and DevOps experience with the lab scope, checking cloud and networking foundations and the access needed for controlled exercises.
- Step 04
Customize
We tailor workload and recovery briefs to representative enterprise needs, including segmented networks, reporting data, scaling behavior, and clearly stated cost assumptions.
- Step 05
Execute
Participants configure a VPC, scale a containerized service, inspect data pipelines, and rehearse failover with feedback on security boundaries and design consistency.
- Step 06
Evaluate
We assess the architecture review for justified service choices, least-privilege design, cost reasoning, and a recovery plan supported by the runbook drill.
Also from Edstellar
Talent assessments
Psychometric, behavioral, leadership and 360-degree assessment.
→Training needs analysis
Needs analysis, gap identification, and a training roadmap.
→L&D consulting
Learning strategy, content, technology and ROI measurement.
→OD consulting
Org design, succession planning and cultural change.
→Managed training services
Training outsourcing, vendor management, logistics and administration.
→Coaching solutions
Executive and manager coaching that keeps skills in use.
Start an RFP shaped to your needs.
Answer three quick questions about team size, scope, and how often you need the program run, then send the request from the last step. Everything you choose travels with it, so you only fill this in once.
How many team members need training?
Architecting with Google Cloud Training Packages & Pricing
Where L&D holds an annual budget, license packages price the whole year at once instead of raising a purchase order per workshop. Hours and licenses are pooled across teams, programs and locations, so unused capacity is not stranded in one department.
Starter
120
trainee licenses64 hours of group training
Tailored for SMBs
Growth
320
trainee licenses160 hours of group training
Ideal for growing SMBs
Enterprise
800
trainee licenses400 hours of group training
Designed for large corporations
Custom
Unlimited
trainee licensesDuration set by the rollout
Multi-region and multi-year
Training Packages & Pricing
Choose the training format that works for your team. Pricing is customized based on your requirements, cohort size, and delivery needs.
Request Architecting with Google Cloud Training for Your Team
Share your team size, Google Cloud footprint, and timelines to receive a tailored training plan and quote. Book a discovery call to discuss your goals; we confirm availability and respond with a proposal.