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GCP Associate Cloud Engineer Training

Last Updated: 08-03-2025

The GCP Associate Cloud Engineer Training course is designed to provide you with the essential skills to become a Google Cloud Certified Associate Cloud Engineer. This hands-on training will help you gain proficiency in managing cloud infrastructure, deploying applications, and configuring Google Cloud services. Through practical exercises, you'll learn how to work with core Google Cloud Platform (GCP) services like Compute Engine, Cloud Storage, Cloud Networking, and IAM. You'll also gain an understanding of GCP’s tools for monitoring, logging, and troubleshooting. Whether you're new to cloud computing or preparing for the Associate Cloud Engineer certification exam, this course will give you the foundational knowledge needed to succeed in a cloud engineering role.

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Schedule Learners Course Fee Register Your Interest
April 28th - 02nd
09:00 - 17:00 (CST)
Live Virtual Classroom
USD 1,600
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April 21st - 25th
09:00 - 17:00 (CST)
Live Virtual Classroom
USD 1,600
May 12th - 23rd
09:00 - 13:00 (CST)
Live Virtual Classroom
USD 1,600
June 02nd - 06th
09:00 - 17:00 (CST)
Live Virtual Classroom
USD 1,600

Course Prerequisites

  • Basic knowledge of IT infrastructure, operating systems, and networking concepts.
  • Familiarity with command-line interfaces and Linux/Unix-based systems.
  • Experience with virtualization, databases, and web services is recommended.
  • No prior experience with Google Cloud is required, but familiarity with cloud computing concepts is beneficial.

Learning Objectives

By the end of this GCP Associate Cloud Engineer Training, you will be able to:

  1. Understand the core services of Google Cloud Platform (GCP) and how to use them to manage cloud infrastructure.
  2. Configure Google Cloud Compute Engine for deploying virtual machines and scaling resources.
  3. Manage Google Cloud Storage and Cloud Databases, and implement solutions for backup and archiving.
  4. Set up and manage Google Cloud Networking services like VPCs, subnets, and firewalls.
  5. Implement and manage Identity and Access Management (IAM) roles, policies, and security configurations on GCP.
  6. Use Google Cloud Console and gcloud CLI to perform common cloud management tasks.
  7. Monitor and manage Google Cloud resources using Cloud Monitoring, Cloud Logging, and Cloud Operations suite.
  8. Implement automation strategies for deployments using Cloud Deployment Manager and Cloud Functions.
  9. Understand best practices for cost optimization and resource management on Google Cloud.
  10. Prepare for the GCP Associate Cloud Engineer certification exam by reviewing key exam topics and strategies.

Target Audience

This course is ideal for:

  • Aspiring cloud engineers who want to gain hands-on experience and prepare for the GCP Associate Cloud Engineer certification exam.
  • IT professionals looking to expand their skillset by learning Google Cloud technologies and services.
  • System administrators or DevOps engineers who want to transition into cloud infrastructure management using Google Cloud Platform (GCP).
  • Cloud professionals looking to advance their career by earning the GCP Associate Cloud Engineer certification.

Course Modules

  • Google Cloud Fundamentals

    • Introduction to Google Cloud's core products and services
    • Creating and managing projects, billing accounts, and permissions in GCP
    • Understanding Google Cloud architecture and regions/zones
  • Compute Engine and Virtual Machines

    • Provisioning and managing Compute Engine virtual machines
    • Understanding VM configurations (e.g., machine types, custom images)
    • Managing VM instances and storage
  • Networking and Load Balancing

    • Setting up Virtual Private Cloud (VPC) networks and subnetting
    • Configuring Cloud DNS, Cloud Load Balancing, and Cloud CDN
    • Managing firewalls and route configurations
  • Identity and Access Management (IAM)

    • Managing roles, permissions, and policies with IAM
    • Using IAM for managing access to resources securely
    • Best practices for IAM in a Google Cloud environment
  • Cloud Storage and Databases

    • Managing data storage options: Google Cloud Storage, Cloud SQL, BigQuery
    • Cloud Spanner and Cloud Datastore for databases
    • Backup and disaster recovery strategies for cloud data
  • Monitoring and Logging

    • Configuring Google Cloud Monitoring and Logging
    • Understanding metrics, alerting, and logs
    • Cloud Trace, Cloud Debugger, and Cloud Profiler
  • Automation with Infrastructure as Code

    • Using Google Cloud Deployment Manager
    • Implementing Google Cloud resources with Terraform
    • Automating Google Cloud infrastructure

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