About Course
Google Cloud Professional Cloud DevOps Engineer
This course prepares professionals to build, deploy, and operate reliable systems on
Google Cloud Platform (GCP). It focuses on DevOps practices such as
continuous integration and delivery, site reliability engineering (SRE), service
monitoring, and incident management. Learners gain hands-on experience implementing
scalable, resilient, and efficient cloud-based DevOps workflows.
Prerequisites
- Basic understanding of cloud computing concepts
- Experience with application deployment and operations
- Familiarity with CI/CD pipelines and DevOps practices
- Working knowledge of Linux systems and networking
- Prior experience with Google Cloud is helpful but not mandatory
Who Should Attend
- DevOps Engineers and Site Reliability Engineers (SREs)
- Cloud Engineers and Platform Engineers
- System Administrators managing cloud workloads
- Software Engineers involved in deployment and operations
- Professionals preparing for the Google Cloud DevOps Engineer certification
Key Skills You Will Gain
This course equips learners with the skills required to operate reliable and scalable
cloud systems using DevOps and SRE best practices.
- Implementing CI/CD pipelines on Google Cloud
- Designing reliable and resilient cloud architectures
- Monitoring, logging, and alerting for production systems
- Managing incidents and performing root cause analysis
- Optimizing system performance, availability, and cost
Course Modules
Module 1: DevOps and SRE Foundations
- DevOps culture and principles
- Introduction to Site Reliability Engineering
- Designing for reliability and scalability
Module 2: CI/CD and Automation
- Continuous integration and delivery pipelines
- Infrastructure as Code and automation
- Deployment strategies and release management
Module 3: Monitoring, Logging, and Alerting
- Monitoring services and SLIs/SLOs
- Centralized logging and metrics analysis
- Alerting and incident detection
Module 4: Incident Management and Reliability
- Incident response and escalation processes
- Root cause analysis and postmortems
- Improving system reliability
Module 5: Optimization and Best Practices
- Performance and cost optimization
- Capacity planning and scaling strategies
- Applying DevOps best practices in production