Prepare for the exam as a Google Professional Cloud DevOps Engineer or for an interview!
β 4.39/5 rating
π₯ 14,084 students
π August 2025 update
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- Course Overview
- This course prepares you for the Google Professional Cloud DevOps Engineer certification exam and interviews, focusing on building and operating highly reliable infrastructure on Google Cloud Platform (GCP).
- Gain comprehensive understanding and practical application of core DevOps and Site Reliability Engineering (SRE) principles, tailored for the GCP ecosystem.
- The curriculum provides hands-on experience across the entire software development lifecycle on GCP, emphasizing automation, efficiency, and system resilience.
- Benefits from an up-to-date content refresh (August 2025), ensuring relevance with the latest GCP services and DevOps best practices.
- Designed for IT professionals, developers, and operations specialists aiming to validate expertise or transition into cloud DevOps roles, blending theory with implementation.
- Requirements / Prerequisites
- Basic familiarity with general cloud computing concepts and terminology.
- Comfort with the Linux command line and fundamental shell scripting (Bash).
- A basic understanding of a programming language, ideally Python, for automation and SDK interactions.
- Prior experience with software development processes or IT operations is beneficial but not strictly mandatory.
- Access to a Google Cloud Platform account is required for hands-on labs (GCP Free Tier usage recommended).
- Strong motivation and a problem-solving mindset to tackle complex technical challenges.
- Skills Covered / Tools Used
- Infrastructure as Code (IaC): Provision GCP resources with Terraform and Cloud Deployment Manager.
- Containerization & Orchestration: Package applications with Docker; deploy on Google Kubernetes Engine (GKE).
- Serverless Compute: Implement serverless solutions via Cloud Run and Cloud Functions.
- CI/CD Pipelines: Build automated continuous integration and continuous delivery workflows using Cloud Build, Cloud Source Repositories, and Artifact Registry.
- Monitoring & Logging: Utilize Cloud Monitoring for metrics/alerts; Cloud Logging for centralized log analysis.
- Observability Tools: Gain insights with Cloud Trace for distributed tracing and Cloud Debug for production debugging.
- Site Reliability Engineering (SRE): Apply SLIs, SLOs, error budgets, and incident response strategies.
- Networking Services: Configure VPC, Shared VPC, Cloud Load Balancing, and secure network connectivity.
- Identity & Access Management (IAM): Implement Cloud IAM, manage service accounts, secure secrets via Secret Manager and KMS.
- Compute Engine: Manage VMs, instance groups, and automation for scalable deployments.
- Cloud Storage: Work with object storage, databases (e.g., Cloud SQL) in DevOps workflows.
- Automation & Scripting: Leverage gcloud CLI and scripting (Bash, Python) for task automation.
- Security Best Practices: Incorporate security throughout the DevOps lifecycle.
- Troubleshooting & Diagnostics: Develop systematic approaches to resolve complex cloud issues.
- Benefits / Outcomes
- Achieve official Google Professional Cloud DevOps Engineer certification, enhancing professional credibility.
- Significantly boost job market competitiveness for high-demand Cloud DevOps and SRE roles.
- Gain extensive practical experience deploying, operating, and optimizing applications on GCP through hands-on labs.
- Master the implementation of efficient CI/CD pipelines, robust monitoring, and proactive incident management strategies.
- Learn to design and manage scalable, reliable, and cost-effective cloud infrastructures.
- Develop expert-level skills in cloud automation, reducing manual effort and accelerating release cycles.
- Build a deep, actionable understanding of a broad range of critical GCP services for modern operations.
- Position yourself as a key player in driving DevOps and SRE cultural transformation within organizations.
- PROS
- Exceptional student satisfaction (4.39/5 rating) from a large learner base (14,084 students).
- Ensured relevance with recent content updates (August 2025), reflecting current GCP technologies.
- Dual focus on preparing for both certification success and practical interview readiness.
- Comprehensive hands-on labs provide invaluable real-world experience.
- Covers a wide array of essential GCP services and critical DevOps/SRE methodologies.
- CONS
- Success in this extensive course requires a dedicated time commitment and self-discipline to master complex concepts and practical implementations.
Learning Tracks: English,IT & Software,IT Certifications
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