Course Overview
About Course
DevOps on Google Cloud Platform (GCP) blends developer agility with operational resilience, guided by SRE methodologies to foster speed and stability. GCP offers a powerful native toolchain—from Cloud Source Repositories to Cloud Build, Container Registry, GKE, Monitoring, Logging, and IaC tools—that empowers teams to build end-to-end automated pipelines.
Our 40‑hour hands-on training covers the full DevOps lifecycle on GCP. Beginning with DevOps fundamentals and GCP setup, participants learn to orchestrate Git workflows and manage source code with Cloud Source Repositories. They then master build automation using Cloud Build, integrating artifact storage via Container or Artifact Registry.
Containerization is taught next: learners build Docker images and deploy them to GKE, understanding cluster configuration and management. Multiple CI/CD pipelines are then orchestrated—spanning code commits to deployable artifacts—mirroring real-world deployment models. Infrastructure as Code is woven into the training, using Cloud Deployment Manager and Terraform to automate cloud provisioning and configuration.
Security is embedded seamlessly: binary authorization and image scanning enforce safe container deployment. Our observability module equips learners with Cloud Monitoring and Logging tools—covering uptime checks, alerts, tracing, error reporting, and log routing—ensuring robust incident detection and response.
The program culminates with a capstone project where participants construct a fully automated, secure, monitored CI/CD pipeline on GCP, reflect on lessons learned, and prepare for the Google Cloud Professional DevOps Engineer Certification. Throughout, there’s expert instruction, collaborative labs, and ongoing mentorship.
Graduates leave well-prepared for DevOps roles in GCP-centric environments, equipped with strong architecture foundations, pipeline-building prowess, security best practices, and troubleshooting capabilities—ready to deliver reliable, scalable applications.
Course Syllabus
Module 1: DevOps Principles & GCP Overview (4 hrs)
- Explore DevOps culture, SRE patterns (error budgets, blameless post-mortems).
- Intro to GCP projects, IAM, Compute Engine, Cloud Storage, and Cloud Console basics.
Module 2: Source Control & GCP Repositories (3 hrs)
- Git fundamentals, branching strategies.
- Use Cloud Source Repositories; tie into CI/CD workflows.
Module 3: Build Automation with Cloud Build (5 hrs)
- Set up build pipelines, triggers, and Cloud Build syntax.
- Artifact management using Container Registry or Artifact Registry.
Module 4: Containerization & GKE Deployment (6 hrs)
- Docker fundamentals: images, containers, manifests.
- Deploy to Google Kubernetes Engine; manage deployments and rollbacks.
Module 5: CI/CD Pipeline Design (6 hrs)
- Design multi-stage pipelines integrating Cloud Build, GKE, and Deployment Manager.
- Demo of five CI/CD pipelines (source repo → build → deploy).
Module 6: Infrastructure as Code (IaC) (4 hrs)
- Use Cloud Deployment Manager and Terraform for declarative provisioning.
- Manage versioned infra changes through pipelines.
Module 7: Configuration Management & Automation (4 hrs)
- Tools overview: Terraform, Jenkins, configuration automation with Ansible.
- Integration and pipeline automation.
Module 8: Container Security & Compliance (3 hrs)
- Binary Authorization, Image Scanning, vulnerability gating.
- Enforce policy-based security in CI/CD.
Module 9: Logging, Monitoring & Observability (4 hrs)
- Cloud Monitoring & Logging: uptime checks, alert policies, error reporting, tracing, log sinks.
Module 10: Capstone Project & Review (4 hrs)
- Build an end-to-end CI/CD deployment: code → container → GKE → monitoring + security.
- Final presentations, peer feedback, certification prep.
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Key Features
- Hands-on labs: Deep dive into Cloud Build, GKE, Cloud IAM, and monitoring.
- Expert-led sessions: Live Q&A, guidance from certified GCP DevOps instructors.
- Certification alignment: Tailored for Google Professional Cloud DevOps Engineer exam
- Capstone projects: Real-world pipelines under instructor mentorship.
- Access & community: 12 months of lab access, forums, Slack peer group.
- Career readiness: Resume help, mock interviews, role-based skill mapping.
Our Upcoming Batches
At Topskill.ai, we understand that today’s professionals navigate demanding schedules.
To support your continuous learning, we offer fully flexible session timings across all our trainings.
Below is the schedule for our Training. If these time slots don’t align with your availability, simply let us know—we’ll be happy to design a customized timetable that works for you.
Training Timetable
| Batches Online/Offline | Batch Start Date | Session Days | Time Slot (IST) | Fees |
|---|---|---|---|---|
| Week Days (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Mon-Fri | 7:00 AM (Class 1-1.30 Hrs) | View Fees |
| Week Days (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Mon-Fri | 11:00 AM (Class 1-1.30 Hrs) | View Fees |
| Week Days (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Mon-Fri | 5:00 PM (Class 1-1.30 Hrs) | View Fees |
| Week Days (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Mon-Fri | 7:00 PM (Class 1-1.30 Hrs) | View Fees |
| Weekends (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Sat-Sun | 7:00 AM (Class 3 Hrs) | View Fees |
| Weekends (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Sat-Sun | 10:00 AM (Class 3 Hrs) | View Fees |
| Weekends (Virtual Online) | Aug 28, 2025 Sept 4th, 2025 Sept 11th, 2025 | Sat-Sun | 11:00 AM (Class 3 Hrs) | View Fees |
For any adjustments or bespoke scheduling requests, reach out to our admissions team at
support@topskill.ai or call +91-8431222743.
We’re committed to ensuring your training fits seamlessly into your professional life.
Note: Clicking “View Fees” will direct you to detailed fee structures, instalment options, and available discounts.
Don’t see a batch that fits your schedule? Click here to Request a Batch to design a bespoke training timetable.
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