ARCHITECTING WITH GOOGLE COMPUTE ENGINE
The Architecting with Google Compute Engine course is designed for IT professionals who want to design, deploy, and manage scalable, secure, and highly available solutions on Google Cloud Platform using Compute Engine and related services. This course focuses on architectural best practices, infrastructure design, networking, storage, security, automation, and cost optimization. Participants will learn how to build production-ready cloud solutions that align with business and technical requirements. Course Objectives By the end of this course, participants will be able to: Design and deploy scalable architectures using Google Compute Engine Configure and manage virtual machines and instance groups Implement secure and resilient networking architectures Integrate storage, databases, and load balancing solutions Apply Google Cloud security and identity best practices Optimize performance, availability, and cost Design architectures aligned with Google Cloud best practices
Course Curriculum
1
- Cloud architecture principles
- Google Cloud global infrastructure
- Regions, zones, and resource hierarchy
- Shared responsibility model
2
- Virtual machines and machine types
- Images, disks, and snapshots
- Startup scripts and metadata
- Instance lifecycle management
3
- Managed instance groups
- Autoscaling policies
- HTTP(S), TCP, and internal load balancing
- Designing for high availability
4
- Virtual Private Cloud (VPC) design
- Subnets, routes, and firewall rules
- Hybrid connectivity (VPN and Interconnect)
- Private access and service networking
5
- Persistent disks and local SSDs
- Cloud Storage integration
- Cloud SQL and database architecture
- Storage selection best practices
6
- Identity and Access Management (IAM)
- Service accounts
- Secure VM access and OS Login
- Network security best practices
7
- Cloud Monitoring and Logging
- Operational visibility
- Troubleshooting and performance monitoring
8
- Instance templates
- Infrastructure as Code concepts
- Deployment automation strategies
9
- Pricing models for Compute Engine
- Cost optimization strategies
- Resource rightsizing and budgeting
10
- Fault tolerance and resilience
- Multi-zone and multi-region designs
- Real-world architecture scenarios
11
- Cloud architects and solutions architects
- System administrators and infrastructure engineers
- DevOps and platform engineers
- IT professionals transitioning to Google Cloud
- Professionals preparing for Google Cloud certification
12
- Google Cloud Fundamentals: Core Infrastructure or equivalent knowledge
- Basic understanding of networking, compute, and storage concepts
- Prior cloud experience is beneficial but not mandatory
13
- 3-4 days (Instructor-led)
- 24-32 hours of training
14
- Instructor-led technical sessions
- Architecture diagrams and walkthroughs
- Hands-on labs and demonstrations
- Real-world design scenarios
15
- This course supports preparation for Google Cloud Associate Cloud Engineer and Professional Cloud Architect certifications
16
- Comprehensive training materials
- Hands-on lab guides
- Architecture design examples
- Certificate of course completion
This course includes
- 16+ Activity Modules
- 40 hours + lessons
- Lifetime access
- Certificate of completion
- Available on desktop and mobile
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