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Google Cloud Security Engineer
OBJECTIVEs:
- The Google Cloud Network Engineer course is designed for IT professionals with a foundational understanding of networking and cloud computing.
- The course aims to equip participants with the skills needed to design, implement, and manage GCP networking solutions effectively.
- Key objectives include gaining a comprehensive understanding of GCP's networking services and architecture, designing scalable and reliable network architectures, configuring and managing essential network services such as Cloud Load Balancing, CDN, and DNS, and implementing robust network security measures.
Course features:
- Practical hands on
- Lab sessions
- Training by experienced faculty
PRE-REQUISITES:
- Foundational understanding of networking concepts, such as IP addressing, subnetting, routing, and firewalls.
- Familiarity with cloud computing principles is essential, along with hands-on experience working with Google Cloud Platform (GCP) or similar cloud environments.
- Basic knowledge of scripting and automation tools, as well as experience with network security practices, will also be beneficial.
Learning Path
Hours: 2-3
- Overview of GCP’s networking services
- Understanding GCP architecture and global infrastructure
- Introduction to key networking concepts in GCP
Hours: 8-10
- Designing a scalable and reliable network architecture
- Planning and prototyping GCP networks
- Selecting appropriate GCP networking products and services
- Implementing Virtual Private Cloud (VPC) networks
Hours: 8-10
- Configuring Cloud Load Balancing
- Implementing Cloud CDN (Content Delivery Network)
- Managing and configuring Cloud DNS
- Implementing hybrid networking (e.g., VPNs, Interconnect)
Hours: 6-8
- Understanding and configuring Identity and Access Management (IAM) for network resources
- Implementing network security measures (firewalls, security policies)
- Managing and securing traffic with Cloud Armor and other security tools
- Understanding and managing encryption for data in transit and at rest
Hours: 6-8
- Using Stackdriver for network monitoring and logging
- Troubleshooting network connectivity and performance issues
- Implementing best practices for network reliability and performance
- Optimizing network performance and cost
Hours: 4-6
- Automating network configurations and operations using tools like Terraform and Deployment Manager
- Optimizing network performance through design best practices
- Scaling network infrastructure to meet application demands
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