DevOps has moved past being a buzzword – it’s how modern engineering teams ship faster without breaking things. This course walks you through Google Cloud’s DevOps toolset, from Cloud Build and Cloud Deploy to GKE and the Cloud Operations Suite, while grounding every concept in real SRE practices. By the end of the training, you’re prepared for both the certification exam and the job itself.
Prerequisites
There’s no strict prerequisites to join this course, but you’ll get the most out of it if you already have some working exposure to cloud environments. Recommended background includes:
- Basic understanding of Google Cloud Platform (GCP) services and console
- Familiarity with Linux commands and shell scripting
- Exposure to at least one programming or scripting language (Python, Go, or Bash)
- Awareness of software development lifecycle (SDLC) concepts
- Google recommends 3+ years of industry experience, including 1+ year managing production systems on Google Cloud, before attempting the actual certification exam
Course Objectives
- Build a strong foundation in Google Cloud DevOps principles and the site reliability engineering (SRE) mindset
- Learn to design and implement CI/CD pipelines using Cloud Build, Cloud Deploy, and Artifact Registry
- Gain hands-on experience with containerization using Docker and orchestration using Google Kubernetes Engine (GKE)
- Understand how to define SLIs, SLOs, and error budgets for reliable service delivery
- Develop skills in monitoring, logging, and troubleshooting using Cloud Operations Suite
- Prepare thoroughly for the Google Cloud Professional DevOps Engineer certification exam with mock tests and case studies
- Learn cost optimization and performance tuning strategies for production workloads
What You Will Learn
- Bootstrapping and securing a Google Cloud organization for DevOps workflows
- Infrastructure as Code (IaC) using Terraform and Cloud Deployment Manager
- Building automated, multi-stage CI/CD pipelines for applications and infrastructure
- Managing container images and build artifacts with Artifact Registry
- Deploying and scaling workloads on GKE, Cloud Run, and Compute Engine
- Applying SRE principles – SLIs, SLOs, error budgets, and burn-rate alerting
- Implementing observability using Cloud Monitoring, Cloud Logging, and Cloud Trace
- Incident management, postmortems, and reducing operational toil through automation
- Securing pipelines with IAM, Secret Manager, and Workload Identity Federation
- Optimizing workload cost and performance using Spot VMs and committed-use discounts
Who is This Course For?
This training is built for professionals who want to strengthen their cloud automation and reliability skills on Google Cloud.
- DevOps Engineers and Site Reliability Engineers moving to Google Cloud
- Cloud Engineers and System Administrators aiming for a DevOps specialization
- Software Developers who want ownership of deployment and infrastructure
- IT professionals preparing specifically for the Google Cloud DevOps Engineer certification
- Platform Engineers responsible for CI/CD and observability tooling
- Technical leads and architects evaluating Google Cloud for their DevOps strategy
10+ Essential Tools Covered
- Cloud Build & Cloud Deploy
- Artifact Registry
- Google Kubernetes Engine (GKE) & GKE Autopilot
- Docker
- Terraform & Cloud Deployment Manager
- Cloud Monitoring, Cloud Logging & Cloud Trace
- Managed Service for Prometheus
- OpenTelemetry
- Cloud Source Repositories / GitHub / GitLab integrations
- Secret Manager & Identity and Access Management (IAM)
- Cloud Run & Compute Engine
Career Outcomes
Certified professionals move into reliability-focused and automation-heavy engineering roles across industries.
- Cloud DevOps Engineer
- Site Reliability Engineer (SRE)
- Google Cloud Platform Engineer
- Release and Automation Engineer
- Cloud Infrastructure Engineer
- DevOps Consultant / Architect
Why Choose kodestree for This Training?
kodestree pairs certification-aligned content with real mentorship, so you’re not left studying alone.
- Live, instructor-led sessions taught by practicing Google Cloud professionals
- Hands-on labs mapped directly to the official exam guide
- Flexible learning modes – live online, self-paced, or 1:1 sessions
- Mock tests and scenario-based practice for exam readiness
- Dedicated post-training support, including interview preparation
- Lifetime access to recorded sessions and updated course material
- Industry-recognized course completion certificate from kodestree
