Developing Applications with Google Cloud Platform Corporate Training
Turn application ideas into your team's cloud-ready releases with practical, instructor-led Google Cloud training.
Give your enterprise teams the skills to build and run applications on Google Cloud Platform. Edstellar's corporate training equips your developers with practical techniques to design, deploy, secure, and optimize cloud applications. Delivered live in a hybrid format, each program is tailored to your stack, roles, and goals, with hands-on labs and measurable outcomes.
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 cloud application team
THE EDSTELLAR GOOGLE CLOUD CAPABILITY MODEL
Diagnose Cloud Readiness
Assess your team's cloud development, deployment, and security skills against your application goals.
Standardize App Patterns
Align on one set of deployment, security, and cost patterns every team applies to cloud applications.
Practice in Guided Labs
Build, deploy, and secure applications in hands-on labs that mirror your production workloads.
Measure Skills Growth
Track build quality, deployment speed, and lab outcomes with assessments after every module.
Scale Across Teams
Roll out the same application patterns, reviews, and guardrails across batches and regions.
Need more than one program?Get a group quote
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Program Overview: What is Developing Applications with Google Cloud Platform?
Developing Applications with Google Cloud Platform is a developer program for engineers building cloud-native applications on GCP. Participants learn GCP developer setup, managed compute, serverless and event-driven patterns, cloud data services, GKE deployments, and security with observability. It suits application developers moving to Google Cloud.
Training is code-first: learners deploy real applications to Cloud Run, App Engine, and GKE, wiring in Pub/Sub events and Cloud SQL. Instructors with GCP delivery experience review each deployment and coach on idiomatic cloud patterns. Cost and observability labs keep solutions honest. The capstone is a full cloud application launch. Instructor code reviews keep every deployment idiomatic and production-ready.
Cloud migrations stall when developers lift and shift: monoliths on expensive VMs, no autoscaling, and bills that shock finance. Teams miss the managed services that make cloud worthwhile. This program teaches developers to build the cloud-native way, using the platform instead of fighting it.
In the capstone, participants launch a complete cloud application: containerized services on GKE or serverless, event-driven workflows, managed data, security configured, and costs estimated. They demo the running system to reviewers and return able to build production applications their team can operate on GCP.
Share your training needs and we will tailor the program around them. Tell us about your application portfolio, Google Cloud setup, and team roles, and we will focus lab scenarios, module emphasis, and the capstone brief on the applications your teams actually build.
Developers at any level can join. The program upskills backend engineers and reskills infrastructure teams alike, adapting pace and depth to each cohort's experience with Google Cloud.
What's Included in this Workshop for Your Enterprise Teams
- 1
Google Cloud developer setup
Set up projects, console access, and IAM roles.
- 2
Compute and serverless labs
Deploy apps on managed compute and functions in labs.
- 3
Data and messaging workshops
Connect storage, databases, and messaging to apps.
- 4
GKE deployment labs
Run containers on Kubernetes with services and scaling.
- 5
Capstone app launch
Build, secure, and deploy a full application for review.
- Instructor-led delivery across virtual, onsite, and hybrid
- Guided labs in every module with instructor coaching
- Capstone app build, reviewed with your team
- Flexible scheduling around your calendar
- Lab guides and reusable deployment templates included
- Group size and batches set along with you
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
Developing Applications with Google Cloud Platform Course Topics and Program Outline
Seven modules move your team from Google Cloud foundations to a production-style application launch. Learn core concepts with an instructor, practice in seven guided labs, then secure, optimize, and ship everything in a capstone build.
Built by Edstellar with Google Cloud engineers
Built by engineers who build and run applications on Google Cloud in production, shaped around your stack and use cases.
A pre-program skills check on cloud development, deployment, and security basics calibrates the 28-hour plan to your team.
Live instructor sessions cover Google Cloud services, app architecture, and deployment patterns across 7 modules.
Seven guided labs build and deploy apps on managed compute, serverless, data services, and Kubernetes on live environments.
Teams harden, monitor, and cost-optimize their apps, then design, secure, and ship a full application in the capstone.
From first project to production-style launch in 28 hours.
Delivered as
The program blends live instruction with guided labs and runs in flexible batches around your team's calendar, in hybrid, onsite, or live virtual mode.
Provision a project, assign IAM roles, and tour the console.
learna)Google Cloud console, projects, and billing setup
b)IAM roles and least-privilege access
c)Core application services overview
d)Provisioning a developer sandbox project
Deploy a web app, split traffic, and roll back a bad release.
practicea)Choosing the right compute option
b)Deploying a containerized web application
c)Versions, config, and environment variables
d)Rollouts, rollbacks, and traffic splitting
Build an event pipeline with functions, topics, and retries.
practicea)Event-driven architecture basics
b)Writing and deploying cloud functions
c)Pub/Sub topics and message delivery
d)Workflows, retries, and error handling
Connect an app to object storage, a database, and a cache.
practicea)Object storage for application assets
b)NoSQL and relational data modeling
c)Caching for read-heavy workloads
d)Backups, retention, and data access control
Deploy, scale, and troubleshoot a workload on Kubernetes.
practicea)Clusters, nodes, and workload basics
b)Deployments, services, and ingress
c)Autoscaling, health checks, and secrets
d)Rolling updates and pod troubleshooting
Harden an app, add alerts, and trim idle costs.
applya)IAM, secrets, and network controls
b)Logging, monitoring, and alerting
c)Budgets, quotas, and cost guardrails
d)Right-sizing and resource cleanup
Design, build, secure, and deploy a complete application for review.
applya)Capstone brief: application requirements
b)Building services, functions, and data wiring
c)Securing, monitoring, and costing the app
d)Launch review and instructor feedback
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
Your team leaves able to design, build, and run applications on Google Cloud. These are the practical competencies each engineer practices in the labs and demonstrates in the capstone launch.
Set Up Cloud Projects
Provision projects, assign least-privilege IAM roles, and navigate the Google Cloud console with confidence.
Deploy Managed Services
Ship containerized apps on managed compute with versions, config, traffic splitting, and safe rollbacks.
Build Serverless Workflows
Write event-driven functions, connect messaging topics and triggers, and handle retries and failures.
Wire Application Data
Connect apps to object storage, NoSQL and relational services, and caching with backups and access control.
Run Kubernetes Workloads
Deploy, scale, and troubleshoot containerized workloads on Kubernetes with services and health checks.
Secure and Monitor Apps
Apply secrets management, access controls, logging, and alerts so applications stay defended and observable.
Optimize Cloud Costs
Set budgets and guardrails, right-size resources, and cut idle spend without hurting reliability.
Teams that Benefit from this Developing Applications with Google Cloud Platform Group Training
Application teams succeed when every role practices the workflows it owns. This program adapts to each cohort's stack and experience, so development, platform, and operations teams each build the Google Cloud skills their day-to-day work demands.
Ship cloud applications faster with confidence
Backend and application developers learn to build, deploy, and debug apps on Google Cloud, so every release they ship meets the same quality bar.
Workflow friction
- Slow, error-prone manual deployments
- Inconsistent use of cloud services
- Debugging failures across services
How the program helps
- Standard deployment patterns for every app
- Faster debugging with live environments
- Consistent service use across the team
Practice use cases
- Compute deployment labs
- Serverless wiring
- Trace debugging
- Service templates
Run a platform developers trust to ship on
Platform engineers learn to standardize environments, guardrails, and deployment paths, so product teams ship without waiting on tickets.
Workflow friction
- Ad-hoc environments and shadow tooling
- No shared deployment standards
- Support tickets for routine deploys
How the program helps
- Shared, governed deployment paths
- Reusable templates for every team
- Fewer routine tickets with self-service
Practice use cases
- Template authoring
- IAM policy labs
- Guardrail design
- Self-service setup
Keep releases fast without breaking production
DevOps and SRE teams learn to harden release pipelines, monitor what matters, and scale workloads confidently on Google Cloud.
Workflow friction
- Fragile release pipelines
- Blind spots in monitoring
- Scaling surprises under load
How the program helps
- Resilient pipelines with safe rollouts
- Alerts that catch real problems
- Autoscaling tuned to demand
Practice use cases
- Rollout drills
- Alert tuning
- Autoscale labs
- Incident drills
Feed applications with reliable data services
Data engineers learn to wire storage, databases, and messaging into applications, so app teams get the data layer they need without rework.
Workflow friction
- Ad-hoc data plumbing per app
- Unclear data access controls
- Slow reads under production load
How the program helps
- Standard data patterns for apps
- Clear, audited data access
- Caching for fast reads at scale
Practice use cases
- Storage wiring
- Access control labs
- Caching drills
- Messaging setup
Each cohort works through role-relevant scenarios, then leaves with reusable patterns for day-to-day work.
Prerequisites: This program benefits developers, platform engineers, and DevOps teams most. Familiarity with a programming language and basic cloud concepts helps, but no prior Google Cloud experience is needed. Every batch adapts pace, lab scenarios, and the capstone brief to your team's tools and context.
Cloud Developer to Cloud Application Engineer
Tracks how engineers progress from basic project setup to advanced cloud application ownership across the program's learn, practice, and apply phases.
One program that grows with cloud development careers, from first project to confident production ownership.
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
Choose the mix that fits your teams: every mode is instructor-led, covers the same 28 hours and 7 guided labs, and ends with the capstone application launch.
Hybrid Training
Split the 28 hours between live virtual sessions and on-site lab days, so distributed teams learn together and practice side by side. The instructor, labs, and capstone stay identical in both settings.
- Live instruction across onsite and virtual sessions
- Guided labs with instructor coaching and reviews
- Real Google Cloud workflows from deploy to monitor
- Flexible scheduling without losing live interaction
Onsite Training
Run all 7 modules and 7 guided labs at your office with the instructor in the room. Teams whiteboard app designs, debug together, and ship the capstone on your own network.
- Instructor on site for all 28 hours
- Whiteboard design and live debugging together
- Labs run on your own network
- Capstone reviewed in the room
Live Virtual Training
Join live virtual sessions from anywhere with the same instructor, labs, and capstone. Small cohorts keep Q&A fast, and shared Google Cloud lab environments mirror your own setup.
- Live virtual sessions with the same instructor
- Shared Google Cloud lab environments in the cloud
- Small cohorts for fast Q&A
- Identical labs and capstone as onsite
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 your team size, locations, and timelines through the lead form. We reply with a tailored proposal covering scope, schedule, and group pricing.
Yes. Book a short discovery call and we will map your training needs, audience, and timelines before sharing a plan.
Yes. Live virtual sessions run instructor-led on your preferred platform, with guided labs, breakout work, and real-time feedback.
Yes. We deliver onsite at your offices, with the agenda and labs adapted to your team's stack and priorities.
The standard program runs 28 hours across flexible sessions. We can compress or extend the schedule to fit 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.
Developing applications on Google Cloud follows a grounding in core Google Cloud infrastructure. Your developers then build cloud apps with managed services, containerise and run them on Kubernetes, and finally add observability so production behaviour is visible.
Why Choose Edstellar as Your Corporate Developing Applications with Google Cloud Platform Training Provider
Edstellar delivers instructor-led Google Cloud training that is tailored to your stack, practiced in live labs, and measured against the skills your teams need. Every batch ends with a capstone application your engineers built themselves.
EXPERT TRAINERS
YEARS DELIVERING
ORGANIZATIONS TRAINED
CERTIFIED
Tailored
We map every module to your stack, applications, and team roles, so labs mirror the apps your engineers build.
Proven Methodology
5+ years of instructor-led delivery: concept briefings, guided labs, and instructor reviews for cloud development teams.
Practice-Based Learning
Seven guided labs and a capstone launch give your engineers real keyboard time on Google Cloud.
Expert Trainers
Practitioners who build and run apps on Google Cloud lead the sessions; profiles are shared before booking.
Global Scale
We deliver the same 28-hour program across regions and time zones, with consistent labs and instructor quality for every cohort.
Measurable Outcomes
Assessments before and after the program show which Google Cloud application skills each team gained, tied to the apps they built.
Develop Google Cloud Applications With Verified Delivery and Operational Controls
Edstellar connects cloud project setup with managed compute, event-driven services, data integration, and Kubernetes. Participants practice release changes and examine security, monitoring, and cost before presenting a complete application. The final review assesses working integrations and observable operational behavior, linking architectural choices with the application's stated requirements.
- Step 01
Consult
We assess programming and cloud familiarity to identify gaps in managed deployment, event retries, application data, Kubernetes operations, and monitoring cloud services.
- Step 02
Plan
We establish Google Cloud setup before managed compute and serverless events, then data services, Kubernetes, and operational controls within the complete application build.
- Step 03
Align
We match Google Cloud application expertise to developers' existing language skills, providing guided support across managed compute, event services, and Kubernetes deployment.
- Step 04
Customize
We tailor sample web services, events, and storage needs to representative applications while preserving explicit identity, retry, release, and cost assumptions.
- Step 05
Execute
Participants split traffic, test rollback, and integrate event and data services, receiving feedback on runtime behavior, access controls, alert signals, and idle resources.
- Step 06
Evaluate
We assess the application for working service integration, demonstrated release and recovery behavior, justified safeguards, and evidence supporting monitoring and cost choices.
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?
Developing Applications with Google Cloud Platform 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 Developing Applications with Google Cloud Platform Training for Your Team
Tell us about your team: size, roles, application stack, and preferred timelines. We will confirm trainer availability, then share a tailored training plan with scope, schedule, and a group quote.