Google Certified Associate Cloud Engineer Training Course
The Google Certified Associate Cloud Engineer certification validates the skills needed to deploy applications, monitor operations, and manage enterprise solutions on Google Cloud Platform (GCP). This course provides a structured learning path to prepare for the exam by covering key GCP services, best practices, and hands-on implementation.
This instructor-led, live training (online or onsite) is aimed at intermediate-level IT professionals who wish to gain expertise in managing cloud infrastructure and services on Google Cloud.
By the end of this training, participants will be able to:
- Set up and configure cloud environments using Google Cloud services.
- Manage and configure virtual machines, storage, and networking.
- Deploy and monitor applications in GCP environments.
- Implement security best practices and identity management.
- Use Google Cloud tools for automation and troubleshooting.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
Introduction to Google Cloud Platform
- Overview of GCP and its global infrastructure
- Understanding cloud computing models
- Navigating the Google Cloud Console and Cloud Shell
Compute Services and Virtual Machines
- Creating and managing virtual machines (VMs) with Compute Engine
- Configuring persistent disks and snapshots
- Working with custom images and startup scripts
Storage and Databases
- Understanding Cloud Storage options (Standard, Nearline, Coldline, and Archive)
- Managing Cloud SQL and Cloud Spanner databases
- Using Firestore and Bigtable for NoSQL data storage
Networking and Load Balancing
- Setting up Virtual Private Cloud (VPC) networks
- Managing firewall rules and interconnects
- Implementing Cloud Load Balancing and Cloud CDN
Security and Identity Management
- Managing IAM roles and policies
- Configuring security best practices in GCP
- Implementing identity-aware proxy and cloud security tools
Deploying and Managing Applications
- Deploying applications with Google Kubernetes Engine (GKE)
- Using App Engine for serverless deployments
- Automating deployments with Cloud Build and Terraform
Monitoring and Logging
- Setting up Cloud Monitoring for performance tracking
- Using Cloud Logging for system analysis
- Configuring alerts and dashboards
Automation and Troubleshooting
- Using Cloud Deployment Manager for infrastructure automation
- Troubleshooting common issues in GCP
- Leveraging Cloud Support and documentation
Exam Preparation and Practice Tests
- Understanding the Google Certified Associate Cloud Engineer exam structure
- Reviewing key exam topics and objectives
- Practicing with sample questions and mock exams
Summary and Next Steps
Requirements
- Basic understanding of cloud computing concepts
- Experience with Linux command-line interface
- Familiarity with networking and system administration fundamentals
Audience
- IT professionals seeking Google Cloud certification
- Cloud engineers and administrators working with GCP
- Developers and system operators looking to enhance their cloud skills
Open Training Courses require 5+ participants.
Google Certified Associate Cloud Engineer Training Course - Booking
Google Certified Associate Cloud Engineer Training Course - Enquiry
Testimonials (5)
very friendly and helpful
Aktar Hossain - Unit4
Course - Building Microservices with Microsoft Azure Service Fabric (ASF)
Amount of Information, Exercises
Lukasz Kowalski - Sii Sp. z o.o.
Course - AWS IoT Core
Machine Translated
The manual serverless setup. Also, I had no Idea sls web console exits, which is nice.
Rafal Kucharski - The Software House sp. z o.o.
Course - Serverless Framework for Developers
IOT applications
Palaniswamy Suresh Kumar - Makers' Academy
Course - Industrial Training IoT (Internet of Things) with Raspberry PI and AWS IoT Core 「4 Hours Remote」
Later the balance between theory and practice was much better. But the beginnings were terrible. The way of expressing (language) is very calm, understandable, in a human way.
Lukasz Derkowski - NetworkedAssets Sp. z o.o.
Course - AWS CloudFormation
Machine Translated
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