Google Cloud FundamentalsÂ
Google Cloud is a powerful cloud computing platform that helps organizations process and manage data at scale. In the geospatial and geo-information sector, it plays a vital role. It gives professionals the tools to handle large datasets—without the need for complex technical infrastructure.
With GCP, you can securely store spatial data and access high-performance tools like BigQuery and Google Earth Engine. These services offer powerful analysis capabilities and advanced processing—making them essential for modern geospatial workflows.
Google Cloud also includes a broad range of services built for spatial data—from scalable storage and compute power to specialized geospatial tools like BigQuery GIS. With these tools, you can manage data-heavy projects more quickly and efficiently.
What will you learn in this blended learning course?
This course gives you a solid introduction to cloud computing and shows you how to use Google Cloud Platform (GCP) effectively in your own projects. It’s built for professionals who want to understand how GCP compares to other platforms—and how it supports spatial data storage, processing, and analysis.
You’ll start with the basics of cloud computing and learn how GCP handles core services like virtual machines, databases, and storage. Then, you’ll explore tools like Kubernetes Engine, Cloud Storage, and BigQuery to see how they work together in geospatial workflows.
As you move forward, you’ll also cover security and cost management. You’ll learn how Google Cloud keeps data safe with strong built-in protections, and how to manage resources efficiently. Plus, we’ll go over best practices for securing applications and using IAM (Identity and Access Management) to control access.
Finally, the course puts a strong focus on GIS. You’ll see how to apply GCP in real-world geospatial projects using tools like BigQuery GIS and Google Maps Platform.
Why choose this Google Cloud Fundamentals course?
Blended learning gives you the best of both worlds—live interaction and flexible, self-paced study—so you can build practical, job-ready skills using Google Cloud for geospatial analysis.
We kick things off with a live session where you’ll work with real geospatial datasets right away. Guided by experts, you’ll learn how to process, analyze, and visualize spatial data using BigQuery GIS and Google Maps Platform.
Next, our self-paced modules let you explore cloud concepts on your own schedule. You’ll cover topics like cloud storage, access management, and cost optimization. Along the way, you’ll apply these concepts using Compute Engine, BigQuery, and other core GCP services.
Then, in a second live session, you’ll apply your new skills to real GIS projects. You’ll create cloud-based workflows, solve challenges, and get personalized feedback to improve your results.
A highlight of the course is its case-based approach. You’ll build practical outputs—such as dashboards, scripts, or scalable data pipelines—that you can immediately use in your day-to-day work.
By combining expert-led training with flexible learning, this course helps you go beyond the basics. You’ll finish with the confidence and skills to apply Google Cloud in real GIS environments and make smarter, faster decisions with your data.