Google Cloud Advanced Training
Design secure, highly available and cost-efficient Google Cloud architectures, govern a landing zone and plan migrations. Learn Google Cloud through a clear Foundation to Advanced path, with hands-on labs, live cohort options, certification support and full LMS access.
Last updated
Self-paced video subscription
Billed yearly at ₹9,996. This includes all four levels, complete LMS access for one year, plus 20+ additional courses and 50+ tools access.
- All four Google Cloud levels in one price.
- 20+ additional courses and 50+ tools included, even when subscribing to one course.
- Best fit for learners who want full-library access and flexible progress.
Live & Interactive session
Instructor-led cohort, max 8 to 10 hours, with demos, labs, Q&A, assignments and practical review.
- Live small-batch cohort from soon.
- Interactive discussion and lab troubleshooting.
- Recommended for teams that need guided implementation.
1:1 Live training
The same agenda, taught one-to-one by the trainer. Start immediately, without waiting for the next batch. Max 8 to 10 hours, one-to-one.
About Google Cloud Advanced Training.
Understand where Google Cloud fits in modern software delivery, what this level covers, and how the program builds practical confidence step by step.
Program overview
Google Cloud is taught as a practical technical skill for modern engineering, operations and platform teams. The course explains where the tool fits, how it is used in real delivery environments, and how learners can apply it through guided practice.
This DevOpsSchool Google Cloud program is built for working professionals who want usable skills instead of only conceptual exposure. The training emphasizes live examples, workflow clarity, operational controls and progressive skill depth from Foundation to Advanced.
Private Google Cloud training for delivery teams, platform groups and engineering organizations.
DevOpsSchool provides corporate Google Cloud training for teams that need faster adoption, workflow standardization, administrative control, integration guidance and governance-ready rollout. Private batches can be aligned to development practice, release workflow, access model, maturity level and internal tooling.
- Private online or classroom delivery for engineering teams
- Aligned to Google Cloud usage maturity, admin depth and collaboration patterns
- Useful for rollout, migration, governance and workflow consistency goals
- Can be tailored for developers, administrators, DevOps teams and leadership stakeholders
Why teams use DevOpsSchool
DevOpsSchool combines live demonstration, practical workflow discussion, implementation-oriented examples, and strong post-session learning support. That makes the training more usable for real teams than generic slide-led courses.
Choose any level. The page still shows the full progression.
Foundation, Essential, Intermediate and Advanced are presented as one linked training flow. Self-paced buyers get all levels by default, even if they start from only one course page.
Instructor-led, self-paced and corporate delivery options.
Compare delivery format, duration, level access and batch style. Fees are shown only in the top decision panel and once again after the agenda.
| Duration | Mode | Level access | Batch |
|---|---|---|---|
| 8 to 10 Hrs. max | Live & Interactive | Advanced | Public batch |
| 8 to 10 Hrs. max | 1:1 Live training | Advanced | Starts immediately |
| 1 year LMS access | Self-paced video | All 4 levels | Anytime access |
| 5 Days | Corporate | Google Cloud Advanced Training | Private team batch |
What learners should be able to do after Google Cloud training.
The outcomes are written for practical delivery teams: developers, DevOps engineers, release engineers, administrators and technical leads.
Build on Google Cloud
Deploy and run applications on Compute Engine, GKE, Cloud Run and managed databases.
Automate and operate workloads
Use Terraform, Cloud Build, Cloud Deploy and Cloud Monitoring and Logging to ship and observe services.
Design secure architectures
Apply IAM, network security, encryption, high availability and cost controls in a governed landing zone.
Why this skill, what you will achieve, and who should attend.
Use this section to decide whether the course matches your role, current experience and expected Google Cloud responsibilities before reviewing the detailed agenda.
Why Google Cloud matters
- Google Cloud helps teams standardize a critical part of their software delivery, infrastructure, automation or operations workflow.
- It gives learners a repeatable way to move from basic usage to confident execution in team and enterprise environments.
- For DevOps and platform teams, Google Cloud becomes more valuable when connected with automation, governance, monitoring and delivery practices.
- Teams using Google Cloud effectively reduce ad-hoc execution and move toward consistent engineering standards.
Objectives
- Understand Google Cloud concepts, architecture, terminology and operational usage patterns.
- Learn practical configuration, workflow design, access controls, team usage and quality practices.
- Apply Google Cloud in real delivery workflows using automation, integrations, traceability and governance patterns.
- Build practical confidence to use Google Cloud for individual, team and organizational use cases.
Pre-requisites
- Basic computer literacy and familiarity with software development workflows.
- Helpful but not mandatory: introductory DevOps, cloud, automation or software delivery awareness.
- No deep programming background is required for the Foundation and Essential levels.
Who this course is for
- Developers, administrators and engineers who need practical Google Cloud usage skills.
- DevOps engineers, release engineers, SREs and platform teams managing delivery standards.
- Engineering leads and technical managers responsible for workflow quality, access controls and governance.
- Corporate teams migrating to or standardizing on Google Cloud.
Small-batch live training starts every month.
Weekday batches start on the 1st and weekend batches on the first Saturday of every month. One-to-one (1:1) training can start immediately; corporate sessions are scheduled on demand.
Weekend live batch
Starts on the first Saturday of every month. Weekend sessions with demos, labs and Q&A; max 10 learners.
Weekday live batch
Starts on the 1st of every month. Weekday sessions for working professionals and distributed teams; max 10 learners.
Ask advisorAgenda depth up to the selected level.
This page shows the learning flow from Foundation through Advanced. Each level adds to the previous one, and the agenda stops at the current page level. Day counts are for corporate (day-wise) delivery; live online batches cover the same agenda in max 8 to 10 hours.
Foundation Level: cloud concepts, projects, IAM and first workloadsDay 1
- Introducing Google Cloud: global infrastructure, regions and zones, and IaaS, PaaS and serverless compared
- Resource hierarchy: organization, folders, projects, labels and billing accounts
- Interacting with Google Cloud: Cloud Console, Cloud Shell, the gcloud CLI, client libraries and APIs
- IAM basics: principals, basic versus predefined roles, policies and service accounts
- Billing and cost basics: budgets and alerts, the pricing calculator, free tier and usage discounts
- Compute Engine: machine families, images, persistent disks, SSH access and creating a first VM
- VPC networking basics: global VPCs, subnets, firewall rules and internal and external IP addresses
- Cloud Storage: buckets, storage classes, object lifecycle rules and gcloud storage commands
- Choosing a compute option: Compute Engine, GKE, Cloud Run, App Engine and Cloud Run functions
- App Engine: deploying an application to the standard and flexible environments
- Cloud Run first deploy: gcloud run deploy from source code or a container image
- Data and AI at a glance: BigQuery, Cloud SQL and Vertex AI and where each fits
Essential Level = Foundation + scaling compute, databases, GKE and serverlessDay 2 · 2 days cumulative
- Managed instance groups: autoscaling, autohealing, regional MIGs and rolling updates
- Cloud Load Balancing: global external Application Load Balancer, Network Load Balancer and health checks
- Storage options compared: Cloud Storage, Cloud SQL, AlloyDB, Spanner, Bigtable and Firestore
- Cloud SQL: MySQL and PostgreSQL instances, high availability, backups, private IP and the Auth Proxy
- Firestore and Datastore mode: document model, indexes and storing application data
- Google Kubernetes Engine: Autopilot versus Standard, node pools, kubectl and deploying a workload
- Artifact Registry and Cloud Build: building container images and pushing them to repositories
- Cloud Run in depth: revisions, traffic splitting, concurrency, minimum instances and service identity
- Cloud DNS and Cloud CDN: managed zones, record sets and caching static content at the edge
- IAM in practice: custom roles, IAM conditions and avoiding service account keys
- Secret Manager: storing secrets and reading them from Cloud Run, GKE and Compute Engine
- BigQuery basics: datasets and tables, loading data into BigQuery and querying it with SQL
Intermediate Level = Essential + automation, observability, networking and event-driven servicesDay 3 · 3 days cumulative
- Infrastructure as code: Terraform with the Google provider, remote state in Cloud Storage and Infrastructure Manager
- CI/CD: Cloud Build triggers, Cloud Deploy delivery pipelines, approvals and rollbacks
- Cloud Monitoring: metrics, dashboards, uptime checks and alerting policies
- Cloud Logging: Log Router, sinks, log-based metrics and Log Analytics
- Application troubleshooting: Cloud Trace, Cloud Profiler and Error Reporting
- Hybrid connectivity: HA VPN, Cloud Interconnect, Cloud Router and BGP
- Private networking: Shared VPC, VPC Network Peering, Private Service Connect and Private Google Access
- Edge and egress security: Cloud NAT, hierarchical firewall policies and Cloud Armor WAF rules
- Pub/Sub messaging: topics, push and pull subscriptions, ordering and dead-letter topics
- Event-driven services: Eventarc triggers, Cloud Scheduler and Workflows
- Data pipelines: Dataflow (Apache Beam), Dataproc and Cloud Composer overview
- Troubleshooting: VPC Flow Logs, Connectivity Tests, Policy Troubleshooter and quota errors
Advanced Level = Intermediate + architecture, security, reliability, cost and migrationDays 4-5 · 5 days cumulative
- Architecture Framework: designing for reliability, security, cost and performance on Google Cloud
- High availability and DR: regional services, multi-region storage, Cloud SQL replicas and RTO and RPO targets
- Security foundations: Organization Policy Service, VPC Service Controls and Security Command Center
- Encryption and keys: Cloud KMS, customer-managed encryption keys, Cloud HSM and Confidential VMs
- Workload Identity Federation: keyless access from GitHub Actions, AWS and on-premises workloads
- GKE at scale: GKE Enterprise fleets, multi-cluster Gateway, Binary Authorization and Config Sync
- BigQuery advanced: partitioning, clustering, editions and slots, and BigQuery ML
- Vertex AI: training, model endpoints and calling Gemini models through the Vertex AI API
- Cost optimisation and FinOps: committed use discounts, Spot VMs, Recommender and billing export to BigQuery
- Migration: Migrate to Virtual Machines, Database Migration Service and Storage Transfer Service
- Landing zone and governance: environment folders, IAM groups, audit logs and policy as code
- Capstone: a secure, highly available multi-tier application with IaC, CI/CD, monitoring and cost controls
Choose live training or a full year of self-paced access.
If someone buys Foundation, Essential, Intermediate or Advanced as self-paced video, the price stays the same and access is granted to all four levels by default.
Self-paced video subscription
Billed yearly at ₹9,996. This includes all four levels, complete LMS access for one year, plus 20+ additional courses and 50+ tools access.
- All four Google Cloud levels in one price.
- 20+ additional courses and 50+ tools included, even when subscribing to one course.
- Best fit for learners who want full-library access and flexible progress.
Live & Interactive session
Instructor-led cohort, max 8 to 10 hours, with demos, labs, Q&A, assignments and practical review.
- Live small-batch cohort from soon.
- Interactive discussion and lab troubleshooting.
- Recommended for teams that need guided implementation.
1:1 Live training
The same agenda, taught one-to-one by the trainer. Start immediately, without waiting for the next batch. Max 8 to 10 hours, one-to-one.
- Start immediately: no waiting for the monthly batch.
- One learner, one trainer: full attention on your questions.
- Sessions planned around your working hours.
- Your pace, with examples from your own projects and tools.
Method of training and assessment.
The course emphasizes practical demonstration, hands-on labs and assignment-based validation instead of passive lecture-only learning.
| SL | Method of training and assessment | Weightage |
|---|---|---|
| 1 | Understanding the problem space | 5% |
| 2 | Concept discussion | 10% |
| 3 | Live demo and walkthrough | 25% |
| 4 | Lab and hands-on exercises | 50% |
| 5 | Assignments and evaluation | 10% |
Labs, exercises and real workflow practice.
Every level moves from explanation to hands-on practice, review and troubleshooting.
Deploy first workloads on Google Cloud
Create a project with a budget alert, launch a Compute Engine VM, host files in Cloud Storage and deploy a container to Cloud Run.
Build a scalable three-tier application
Deploy a web tier on a managed instance group behind a load balancer, an API on Cloud Run or GKE and data in Cloud SQL with secrets in Secret Manager.
Automate and observe a cloud service
Provision a service with Terraform, deploy it through Cloud Build and Cloud Deploy, wire Pub/Sub events and add dashboards and alerts.
Design a production landing zone
Build a governed folder and project structure with organization policies and VPC Service Controls, then deploy a highly available app with a tested failover.
Google Cloud is taught as part of a working delivery ecosystem.
You learn where the tool sits in the wider engineering workflow, not in isolation.
Core foundations
Terminology, concepts, architecture and the operating model behind the tool.
Workflow traceability
Map practical work to tasks, approvals, documentation and delivery visibility.
Automation and integration
Use Google Cloud with validation checks, automation hooks and delivery workflows.
Governance controls
Operate with permissions, approvals, policy checks and production-safe workflows.
How your practical work is assessed.
Your certificate is backed by labs, assignments, capstone thinking and completion evidence.
Assignments
Level-specific assignments verify setup, configuration, workflow quality and operating discipline.
Hands-on validation
Learners are expected to complete practical usage, automation and troubleshooting exercises.
Completion record
Certificate issuance is tied to demonstrated participation, practical completion and course-level coverage.
Led by Rajesh Kumar and the DevOpsSchool practitioner network.
Training is grounded in practical DevOps, SRE, security, release and platform engineering experience with real enterprise delivery context.
Earn a DevOpsSchool Google Cloud certificate.
Completion includes a digital certificate with credential details, practical assignments and a learning record aligned to the selected Google Cloud level.
Certificate verificationCertificate of Completion
Google Cloud Advanced Training
Unique credential ID, verifiable online
What learners say about training with Rajesh Kumar.
“Rajesh is very good trainer. Rajesh was able to resolve our queries and question effectively. We really liked the hands-on examples covered during this training program.”
“Very well organized training, helped a lot to understand the AWS concept and detailed related to various tools. Very helpful”
“The training was very useful and interactive. Rajesh helped develop the confidence of all.”
Rated 4.6 on Google · All testimonials · Video reviews on YouTube
Quoted as published, from learners in Rajesh Kumar's live trainings across DevOpsSchool courses.
Used by developers, DevOps engineers, release leads and engineering managers.
Private batches are available for teams that want the same agenda aligned to their own tools and workflows.
Why this Google Cloud path is different.
The value is not only one course. The subscription unlocks the full learning ecosystem for one year.
| Feature | DevOpsSchool Google Cloud Training | Typical short course |
|---|---|---|
| Levels | Foundation, Essential, Intermediate, Advanced | Single generic syllabus |
| Self-paced access | All four levels plus 20+ courses and 50+ tools | Usually one course only |
| Live training | Demos, labs, Q&A and assignment review | Often lecture-heavy |
| Certificate | DevOpsSchool completion certificate | Varies by provider |
Questions learners ask before joining.
Does Foundation cost less than Advanced?
No. Self-paced pricing is intentionally the same because access includes all four levels by default.
What is included in the yearly subscription?
One year of complete LMS access, all four levels for the selected course, plus 20+ additional courses and 50+ tools access.
Can corporate teams request customization?
Yes. The live format can be aligned to team tools, governance requirements, workflows and internal delivery standards.
What is the recommended sequence?
Foundation → Essential → Intermediate → Advanced. The agenda is designed so each level builds on the previous one.
Talk to DevOpsSchool before choosing the batch.
Use this support section for batch questions, corporate planning, LMS access clarifications, or guidance on which Google Cloud level fits your team.
India / Worldwide: +91 99057 40781
USA: +1 (469) 756-6329
Email: contact@DevOpsSchool.com
Chat on WhatsAppExtend the course with articles, explainers and workflow guidance.
Continue learning with supporting articles that connect Google Cloud practices to DevOps, automation, governance and delivery workflows.
Training snapshots and certificate preview.
A look at the completion certificate and the course.
Certificate preview
See what course completion evidence looks like.
Tool-focused training
Course visuals reinforce the Google Cloud workflow and subject area.
Live batch experience
Training supports live online, private team and workshop-style delivery.
Start Google Cloud Advanced training.
Next weekday batch starts on the 1st; weekend batch on the first Saturday. Batches are capped at 10 learners. Send your details and DevOpsSchool will share the syllabus and batch options.