GCP200N

Networking in Google Cloud v3.0

This training course builds on the networking concepts covered in the Networking Fundamentals in Google Cloud course. Through presentations, demonstrations, and labs, participants explore and deploy Google Cloud networking technologies. These technologies include: Virtual Private Cloud (VPC) networks, subnets, and firewalls; Interconnection among networks; Load balancing; Cloud DNS; Cloud CDN; Cloud NAT. The course will also cover common network design patterns.

✓ Formation officielle Google CloudNiveau Intermediate⏱️ 3 jours (21h)

Ce que vous allez apprendre

Configure VPC networks, subnets, and routers.
Control administrative access to VPC objects.
Control network access to endpoints in VPCs.
Interconnect networks among Google Cloud projects.
Implement network connectivity between Google Cloud projects.
Implement load balancing.
Configure traffic management among load balancer backend services.
Use Cloud CDN to reduce latency.
Optimize network spend using Network Service Tiers.
Configure private connection options to provide access to external resources and services from internal networks.

Prérequis

Having completed the Google Cloud Fundamentals: Core Infrastructure course or having equivalent experience.
Prior understanding of the 7 layer OSI model.
Prior understanding of IPv4 addressing.
Prior experience with managing IPv4 routes.

Public cible

Network engineers and administrators who use the Google Cloud console or are planning to do so., Individuals who want to be exposed to software-defined networking solutions in the cloud.

Programme de la Formation

14 modules pour maîtriser les fondamentaux

Objectifs

Create a Compute Engine VM with multiple network interfaces.
Use the standard tier to lower cloud networking costs.
Use the premium tier to provide lower latency and faster access to Google Cloud resources.

Sujets abordés

→VPC networks
→Multiple Network Interfaces
→Network Service Tiers

Activités

1 quiz

Quality Process

SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach

Teaching Methods Used

Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
Guided Labs — Guided practical exercises on software, hardware, or technical environments.
Quiz / MCQ — Quick knowledge check (paper-based or digital via tools like Kahoot/Klaxoon).

Evaluation and Monitoring System

The achievement of training objectives is evaluated at multiple levels to ensure quality:

Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.