Deep learning in ArcGIS
Deep learning is transforming how we work with geospatial data. With AI, GIS professionals can now detect patterns in large datasets more quickly—making analysis faster, smarter, and more automated. Think of detecting buildings in aerial photos, mapping land use, or generating maps automatically.
ArcGIS integrates deep learning to tackle complex GIS challenges. Whether you’re classifying buildings, identifying roads, or analyzing landscapes, neural networks help speed up workflows, reduce errors, and increase accuracy.
By using deep learning in ArcGIS, you can automate repetitive tasks, save time, and unlock new insights from your geodata. But how do you actually apply these tools in your own projects? This course walks you through it—step by step. You’ll learn how to combine AI with ArcGIS to perform advanced analysis and optimize your GIS workflows.
What will you learn in this blended learning course?
This course offers a practical introduction to using deep learning for more effective geospatial data analysis. Through AI, you’ll explore how to detect patterns, identify objects, and automate complex processing tasks.
Beginning with the fundamentals of deep learning and neural networks, you’ll gain insight into how these models function and why they’re well-suited for GIS applications. After that, you’ll move on to applying them in ArcGIS to enhance both accuracy and efficiency.
Next, you’ll get hands-on. You’ll practice collecting, preparing, and optimizing training data for AI models. Using tools like ArcGIS Pro and ArcGIS Image Analyst, you’ll build and fine-tune models to solve real GIS challenges.
Finally, you’ll put your skills to the test. You’ll run object detection on aerial and satellite images, classify land cover, and track land use changes. By the end, you’ll be ready to handle complex GIS problems using AI.
Why choose this course on deep learning in ArcGIS?
Blended learning gives you the best of both worlds—live interaction and flexible self-paced study—so you can build real, job-ready skills using deep learning in ArcGIS. In this course, you’ll work directly with AI tools and learn how to apply them to real geospatial problems.
We start with a live session where you’ll work hands-on with real datasets. Guided by experienced trainers, you’ll prepare imagery, label training data, and set up your first deep learning models.
Next, our self-paced modules let you dig deeper. You’ll explore how deep learning fits into GIS, how to use ArcGIS Pro and Image Analyst, and how to fine-tune models to get better results. You’ll also learn to automate tasks and extract key insights from imagery.
Then, in a second live session, you’ll apply everything you’ve learned. You’ll train and evaluate a model, solve common issues, and get expert feedback to refine your workflow.
One highlight of the course is its practical focus. You’ll work through real-world case studies—like detecting objects or monitoring land use changes. The outputs you create won’t just be practice—they’ll be ready for your real projects.
By combining expert instruction with flexible learning, this course goes far beyond theory. By the end, you’ll be confident in training and applying AI models in ArcGIS—and ready to make smarter, faster decisions with geospatial data.