Deep Learning in ArcGIS
Deep Learning is transforming how we analyze geospatial data. Thanks to AI, GIS professionals can identify patterns in large datasets more quickly, enabling automated analysis. Examples include detecting objects in aerial photos, analyzing land use, and generating maps.
ArcGIS integrates Deep Learning to solve complex GIS challenges. From classifying landscapes and buildings to detecting roads on satellite imagery—neural networks accelerate analyses, reduce errors, and increase accuracy.
By using Deep Learning in ArcGIS, you automate processes, save time, and get more value out of your geodata. But how do you apply this technology in your GIS projects? In this course, you’ll learn step by step how to combine Deep Learning with ArcGIS to perform advanced analyses and optimize workflows.
What will you learn in this Blended Learning course?
Deep Learning makes it possible to analyze geospatial data more intelligently and efficiently. In this course, you’ll discover how to use AI to recognize patterns, detect objects, and automatically process geodata.
You’ll start with the fundamentals of Deep Learning and neural networks. You’ll learn how these models work and why they’re so effective for geospatial analysis. Next, you’ll delve into the application of AI within ArcGIS and discover how artificial intelligence improves the accuracy and efficiency of GIS analysis.
After that, you’ll get hands-on. You’ll learn to collect, prepare, and optimize training data for AI models in ArcGIS. Using tools such as ArcGIS Pro and ArcGIS Image Analyst, you’ll build and refine AI models for spatial challenges.
Finally, you’ll explore concrete applications. You’ll perform object detection on aerial photos and satellite imagery, create automatic classifications of landscapes and infrastructure, and analyze land-use changes. By mastering these techniques, you’ll be able to perform advanced analyses and solve complex GIS problems using AI.
Why choose this Deep Learning in ArcGIS course?
Blended learning combines self-paced online learning with hands-on, interactive sessions, so you gain both theoretical knowledge and practical experience with Deep Learning in ArcGIS. The online modules give you the flexibility to study at your own pace, while the interactive online classes teach you how to process geospatial data, train AI models, and perform advanced analyses. Thanks to direct access to the course materials, you can review and practice the material at any time.
During the online hands-on assignments, you’ll apply your knowledge immediately. You’ll work with real datasets and receive live guidance from experts on object detection, training neural networks, and implementing AI algorithms in ArcGIS. This allows you to put theory into practice right away and further develop your skills.
The combination of flexible online learning and hands-on experience ensures that you not only understand the fundamentals of Deep Learning but also learn how to apply them in real ArcGIS projects. Upon completion of the course, you will be able to effectively train AI models, detect objects in aerial imagery, and analyze geospatial data more intelligently and efficiently.