Build foundational cloud infrastructure skills using Google Cloud technologies and services.
Learn core Google Cloud concepts including compute services, cloud networking, storage solutions, identity and access management, resource management and application deployment within Google Cloud Platform environments.
- Why get trained: Learn how to work with Google Cloud infrastructure services including Compute Engine, Virtual Private Cloud (VPC), Cloud Storage, IAM and cloud resource management.
- Why it matters: Foundational cloud infrastructure capabilities help organizations support cloud adoption, improve scalability and strengthen digital transformation initiatives using modern cloud platforms.
- Who should attend: IT professionals, cloud beginners, system administrators, developers and business professionals looking to build foundational Google Cloud knowledge and cloud infrastructure capabilities.
Build practical cloud infrastructure and Google Cloud platform capabilities with Trainocate. HRD Corp Claimable.

Overview
Learn about Google Cloud’s computing and storage services available, including Compute Engine, Google Kubernetes Engine, App Engine, Cloud Storage, Cloud SQL, and BigQuery.
This GCPCIN: Google Cloud Fundamentals: Core Infrastructure course uses lectures, demos, and hands-on labs to give you an overview of Google Cloud products and services so that you can learn the value of Google Cloud and how to incorporate cloud-based solutions into your business strategies
Skills Covered
This course teaches participants the following skills:
- Identify the purpose and value of Google Cloud products and services. Interact with Google Cloud services.
- Describe ways in which customers have used Google Cloud.
- Choose among and use application deployment environments on Google Cloud: App Engine, Google Kubernetes Engine, and Compute Engine.
- Choose among and use Google Cloud storage options: Cloud Storage, Cloud SQL, Cloud Bigtable, and Firestore.
- Make basic use of BigQuery, Google’s managed data warehouse for analytics.
Prerequisites
Familiarity with application development, systems operations, Linux operating systems, and data analytics/machine learning is helpful in understanding the technologies covered.
Target Audience
This class is intended for the following:
- Individuals planning to deploy applications and create application environments on Google Cloud.
- Developers, systems operations professionals, and solution architects getting started with Google Cloud.
- Executives and business decision makers evaluating the potential of Google Cloud to address their business needs.

Module 1: Introducing Google Cloud
- Explain the advantages of Google Cloud.
- Define the components of Google’s network infrastructure, including: Points of presence, data centers, regions, and zones.
- Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS).
Module 2: Getting Started with Google Cloud
- Identify the purpose of projects on Google Cloud.
- Understand the purpose of and use cases for Identity and Access Management.
- List the methods of interacting with Google Cloud.
- Lab: Getting Started with Cloud Marketplace.
Module 3: Virtual Machines in the Cloud
- Identify the purpose of and use cases for Google Compute Engine.
- Understand the basics of networking in Google Cloud.
- Lab: Getting Started with Google Compute Engine.
Module 4: Storage in the Cloud
- Understand the purpose of and use cases for: Cloud Storage, Cloud Bigtable, Cloud SQL, Cloud Spanner, and Firestore.
- Learn how to choose between the various storage options on Google Cloud.
- Lab: Getting Started with Cloud Storage and Cloud SQL.
Module 5: Containers in the Cloud
- Define the concept of a container and identify uses for containers.
- Identify the purpose of and use cases for Google Kubernetes Engine and Kubernetes.
- Introduction to Hybrid and Multi-Cloud computing (Anthos).
- Lab: Getting Started with Kubernetes Engine.
Module 6: Applications in the Cloud
- Understand the purpose of and use cases for App Engine.
- Contrast the App Engine standard environment with the App Engine flexible environment.
- Understand the purpose of and use cases for Cloud Endpoints.
- Lab: Getting Started with App Engine.
Module 7: Containers in the Cloud
- Understand how Cloud Source Repositories, Cloud Functions, and Deployment Manager support development in the cloud.
- Understand the purpose of integrated monitoring, alerting, and debugging.
- Lab: Getting Started with Deployment Manager and Cloud Monitoring.
Module 8: Big Data and Machine Learning in the Cloud
- Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms.
- Lab: Getting Started with BigQuery.
Module 9: Summary and Review
- Summary and Review.
- What’s Next?.
Dates & Locations
August 3, 2026 - August 3, 2026
August 3, 2026 - August 3, 2026
October 5, 2026 - October 5, 2026
October 5, 2026 - October 5, 2026
December 7, 2026 - December 7, 2026
December 7, 2026 - December 7, 2026

Exam & Certification
Google Associate Cloud Engineer Certification.
An Associate Cloud Engineer deploys applications, monitors operations of multiple projects, and maintains enterprise solutions to ensure that they meet target performance metrics. This individual has experience working with public clouds and on-premises solutions. They are able to use Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud.
Training & Certification Guide
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