How can you get more out of geospatial data with Google Cloud? In this one-on-one blended learning course, you’ll discover how to use Google Cloud Platform (GCP) to efficiently manage, analyze, and visualize geospatial data. Through online lessons and hands-on sessions, you’ll learn the basics of cloud computing and apply them directly to geospatial workflows.
Google Cloud is a powerful solution for processing and storing large datasets. In the geospatial sector, it provides professionals with the tools to efficiently manage and analyze geodata, making complex processes faster and requiring less technical infrastructure.
With Google Cloud, you can securely store geospatial data while gaining access to advanced tools such as BigQuery and Google Earth Engine. This allows you to process and analyze massive datasets at unprecedented speeds, which is essential for geo-ICT.
In addition, Google Cloud offers various services for geospatial processes, ranging from storage and processing to advanced analytics. This allows you to carry out large-scale geodata projects not only faster but also more efficiently.
In this course, you’ll gain a solid foundation in Google Cloud Platform (GCP) and learn how to use it optimally for geodata processing. You’ll discover how GCP compares to other cloud platforms and how it contributes to the efficient management of geospatial data.
You’ll learn how virtual machines, databases, and storage services work within GCP and how powerful tools like Google Kubernetes Engine, BigQuery, and Cloud Storage form a robust cloud environment. You’ll also gain insight into security and cost optimization, enabling you to manage cloud resources securely and efficiently.
A key component is the application of GCP within GIS. You’ll learn how GCP processes and analyzes spatial data, and how to use BigQuery GIS and Google Maps Platform for geodata visualization.
Blended learning combines self-paced online learning with hands-on, interactive sessions, allowing you to gain both theoretical knowledge and practical experience with Google Cloud for geospatial data analysis. The online modules offer flexibility, while interactive classes teach you how to use Google Cloud Platform (GCP) for storing, processing, and analyzing geodata. Thanks to direct access to the course materials, you can review and practice the material at any time.
During hands-on online sessions, you’ll apply your knowledge immediately. You’ll work with real geospatial datasets and receive live guidance on using BigQuery GIS and Google Maps Platform. This allows you to put theory into practice right away and develop hands-on skills for cloud-based geospatial data analysis.
The combination of flexible online learning and practical experience ensures that you not only understand the fundamentals of Google Cloud but also apply them in realistic GIS workflows. Upon completion of the course, you will be able to manage, analyze, and visualize geospatial data using the powerful tools of Google Cloud.
You’ll receive 1-on-1 guidance. After signing up, our course coordinator will contact you to schedule your first session.
After completing this course, you will be able to:
Do you have questions about the course content? Or are you unsure whether the course aligns with your learning goals or preferences? Would you prefer an in-house or private course? We’d be happy to help.
