How do you use Microsoft Azure for geospatial data and GIS applications? In this one-on-one course, you’ll discover how to use Azure services and Azure Maps to analyze and visualize geospatial data in the cloud. Through hands-on exercises and online modules, you’ll build practical skills for efficient geospatial workflows.
Azure Fundamentals
Microsoft Azure is a powerful cloud platform specifically designed for managing and analyzing geospatial data. For GIS professionals, Azure offers tools to efficiently process, analyze, and visualize large amounts of geodata. With Azure, you can easily store, scale, and integrate geospatial data into various systems.
The Azure Fundamentals certification (AZ-900) provides foundational knowledge of cloud services such as virtual machines, storage, and networking. After completing this course, you will be well-prepared for the AZ-900 exam and can delve deeper into Azure.
Azure supports geospatial applications with Azure Maps, which makes it easy to integrate and visualize geodata. In addition, the platform offers scalable storage and computing power for analyzing large datasets and managing complex geo-ICT projects.
What will you learn in this Blended Learning course on Azure Fundamentals?
In this course, you’ll discover how cloud computing is transforming the processing of geospatial data and how to use Microsoft Azure to store, manage, and analyze geodata. You’ll learn fundamental cloud concepts and advanced applications so you can effectively use Azure in your work.
You’ll learn to work with Azure Maps for visualizing and analyzing geodata. You’ll also discover how virtual machines are used for complex calculations and analyses of large datasets. Additionally, we’ll cover security aspects, ensuring your data is always processed securely and reliably—crucial when working with sensitive geospatial information.
Whether you use GIS software or perform geospatial analyses, this course helps you integrate Azure into your work processes. You’ll discover how to use Azure to make workflows more efficient and manage geodata faster and more effectively.
Why choose this blended learning course?
Blended learning combines self-paced online learning with hands-on, interactive sessions, so you gain both theoretical knowledge and practical experience with Azure in geo-ICT. The online modules let you study at your own pace, while interactive classes teach you how to analyze geospatial data, use Azure Maps, and implement cloud-based GIS applications. With direct access to the course materials, you can review and practice the material at any time.
During practical online sessions, you’ll immediately apply the knowledge you’ve gained. You’ll work with real datasets and receive live guidance from experts on applying Azure services in geospatial analyses and GIS workflows. By working hands-on with realistic geo-ICT scenarios, you’ll learn to apply Azure effectively and develop the skills to manage geodata securely and efficiently.
The combination of flexible online learning and practical experience ensures that you not only understand the fundamentals of Azure but also apply them in real-world projects. Upon completion of the course, you will be ready to integrate Azure services into geospatial workflows and will have the knowledge to successfully pass the AZ-900 exam.
You’ll receive 1-on-1 guidance. After signing up, our course coordinator will contact you to schedule your first session.
Leerdoelen
After completing this course, you will be able to:
Understand the basics of cloud computing and use Microsoft Azure to manage and analyze geospatial data.
Work effectively with Azure services, such as Azure Maps, and virtual machines for geospatial data visualization and complex analyses.
Apply security measures to manage geo-ICT data securely and reliably.
Integrate Azure services into practical geo-ICT scenarios and work with real-world datasets to gain hands-on experience.
Want to know more?
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.