Unlock the full potential of geospatial data with Deep Learning in ArcGIS Pro—a practical, hands-on course by Geo-ICT, designed for professionals who want to apply the power of artificial intelligence to real-world spatial challenges. Whether you're working in urban development, environmental protection, or crisis management, this course gives you the tools to analyze complex geodata, automate image interpretation, and generate high-impact insights using cutting-edge Deep Learning techniques within ArcGIS Pro.
Deep Learning in ArcGIS
GeoAIGeoAI
Deep Learning
Deep Learning is changing the way we explore and understand geospatial data. As a specialized field within machine learning, it uses multilayered neural networks to process large and complex datasets—making it ideal for analyzing satellite images, aerial photography, and other forms of spatial data. With Deep Learning, patterns, trends, and anomalies can be uncovered that traditional methods might miss.
ArcGIS Pro integrates Deep Learning directly into its platform, enabling powerful workflows like image classification, object detection, and change monitoring. These tools have become essential in fields ranging from urban planning and infrastructure development to environmental monitoring and emergency response. By automating complex tasks and improving accuracy, Deep Learning helps professionals move from raw data to real insights faster and more efficiently.
As organizations increasingly rely on spatial data to make informed decisions, the ability to apply Deep Learning in GIS environments has become a highly valuable skill. That’s where Geo-ICT comes in. Our course, Deep Learning in ArcGIS Pro, bridges the gap between theory and practice—giving you the knowledge, tools, and confidence to use AI in your daily work and research.
No prior experience with ArcGIS? No problem — we recommend starting with our ArcGIS Desktop Basics course to build a strong foundation.
What will you learn
In this course, you’ll explore the core concepts behind Deep Learning and see how neural networks can be used for advanced spatial analysis. You’ll start by understanding how these models are structured and trained, then build your way toward real-world applications like object detection and image segmentation.
You’ll learn how to collect and prepare geospatial data, including how to label and annotate imagery for training purposes. Using ArcGIS Pro, you’ll apply and fine-tune Deep Learning algorithms to identify patterns, detect changes over time, and make predictions based on spatial data. You’ll also gain insight into optimizing your workflow for different use cases—whether you’re tackling environmental challenges, supporting urban development, or responding to natural disasters.
The course combines foundational theory with hands-on exercises so you can build real experience and apply what you learn immediately.
Why choose this course
Geo-ICT’s Deep Learning in ArcGIS Pro course is built for professionals who want practical, job-ready skills. Here’s what makes it a great choice:
- Expert instruction: Learn from instructors with deep experience applying Deep Learning in ArcGIS Pro across real-world projects.
- Hands-on approach: Work through guided labs and case studies designed to reflect the challenges you face in your field.
- Up-to-date tools: Use the latest Deep Learning capabilities built into ArcGIS Pro, and learn how to get the most out of them.
- Career impact: Strengthen your portfolio and skill set with high-demand expertise that applies across multiple sectors.
Course structure
Day 1
You’ll start with a clear introduction to the basics of Deep Learning and neural networks—how they work and why they matter in geospatial analysis. The morning focuses on ArcGIS Pro’s Deep Learning features, including its built-in tools for model training and data handling.
In the afternoon, you’ll get hands-on with data preparation, learning how to label and annotate geospatial imagery to create effective training datasets. You’ll finish the day by training your first Deep Learning model for image classification.
Day 2
The second day builds on your foundation, diving deeper into model training and optimization. You’ll explore advanced techniques like object detection, segmentation, and transfer learning to enhance your results. The morning includes evaluating model accuracy and adjusting parameters.
In the afternoon, you’ll apply your knowledge to real-world datasets through guided labs. The course wraps up with a look at current best practices, future trends, and practical tips for applying Deep Learning in your day-to-day work.
Learning Objectives
- Understand how neural networks function and how Deep Learning supports spatial data analysis
- Prepare and label geospatial datasets for training Deep Learning models in ArcGIS Pro
- Train, fine-tune, and apply Deep Learning models for image classification and object detection
- Recognize and interpret complex spatial patterns using advanced AI-driven methods
- Use ArcGIS Pro to automate and streamline geospatial workflows with Deep Learning tools
- Evaluate model accuracy and performance for different geospatial analysis tasks
- Apply Deep Learning to real-world problems in fields like urban development, environmental monitoring, and disaster response
More Information?
Do you have questions about the course content? Not sure if the course aligns with your learning objectives? Or would you prefer a private session or in-company training? We’re happy to assist—feel free to get in touch.
Frequently Asked Questions about Deep Learning in ArcGIS Pro
In this course you will learn how to apply deep learning techniques for geospatial analyzes with ArcGIS Pro, such as image classification and object detection.
This course is ideal for entry-level and experienced geospatial specialists, as well as professionals from other sectors who want to develop their skills in geospatial analytics and deep learning.
The course lasts two days and covers both theoretical and practical aspects of deep learning in ArcGIS Pro.
Basic knowledge of ArcGIS Pro is recommended, but not required. Some prior knowledge of geospatial concepts is helpful.
Yes, upon successful completion of the course you will receive a certificate, which is valuable for your professional development.
Yes, the course includes practical exercises where you will learn how to apply deep learning models to real geospatial data.
The course covers various techniques such as neural networks, image classification and object detection, specifically aimed at geospatial applications.
Yes, there are online participation options so you can learn from anywhere.
This course focuses specifically on the application of deep learning techniques within ArcGIS Pro, which is a unique combination in the field of geospatial analyses.
We provide additional resources and recommendations to continue developing your knowledge, including access to our online community and updates on future courses.