ArcGIS : Learn Deep Learning in ArcGIS to advance GIS skills

Need to take your spatial data (GIS, Remote Sensing) analysis, and visualization one step further?

Everyone around you is talking about deep learning and machine learning but you feel frustrated as you don’t know any programming and think that it is not for you?

This course will introduce you to the basics of deep learning and teach you the application of deep learning algorithms (such as convolution neural networks) for ArcGIS Pro and give you the skills necessary to improve your geospatial skills and get great job opportunities. By the end of this course, you will be able to take your own project and find data, manipulate it with deep learning algorithms, and create useful results for your peers, professors, clients, etc. This course is absolutely a must for all who want to learn deep learning but don’t know how to start with this challenging subject.

This course is designed to equip you with the basics of machine learning, and its cutting edge part of deep learning (theoretical and practical knowledge) as applied for geospatial analysis, namely Geographic Information Systems (GIS) and Remote Sensing. By the end of the course, you will feel confident and understand the fundamentals of applying Deep Learning algorithms (such as neural networks) in GIS. I will teach you how to use Deep Learning algorithms for such geospatial tasks as object–based image analysis. By the end of this course, you will have a full idea of the ArcGIS Pro workflow for deep learning, understand Deep Learning frameworks used in ArcGIS, learn the basics of parameter selection, and algorithm application for deep learning GIS tasks. On top of that, you will practice GIS by completing an entire geospatial project by exploring the power of Deep Learning for image analysis and GIS problems using ArcGIS Pro.