Machine Learning in GIS and Remote Sensing: 5 Courses in 1 | Udemy

Machine Learning and Deep Learning for Geospatial Analysis in QGIS and ArcGIS

This comprehensive course provides a complete introduction to machine learning and deep learning for Geographic Information Systems (GIS) and Remote Sensing. Designed as a 5-in-1 MEGA training, it gives you both the theoretical foundations and practical skills needed to apply advanced algorithms to environmental, land use, and object-based geospatial tasks.

Whether you want to perform land use and land cover (LULC) mapping, run object-based image analysis, or build powerful machine learning models for spatial prediction, this course will guide you step by step using QGIS, ArcGIS, and open-source geospatial tools.

Course Highlights

• In-depth coverage of machine learning and deep learning for GIS and Remote Sensing
• Confidence to apply algorithms such as Random Forest, Support Vector Machines, Decision Trees, and Convolutional Neural Networks
• Hands-on workflows for land use and land cover mapping, object detection, segmentation, and spatial modeling
• Practical experience with QGIS for advanced spatial analysis
• Introduction to Orfeo Toolbox, ArcMap, and ArcGIS Pro
• Completion of two independent GIS projects to showcase your geospatial skills
• Downloadable datasets, exercises, and instructions

Course Focus

This course is designed for learners who already understand basic GIS operations in QGIS or ArcGIS and want to progress to advanced geospatial techniques. You will learn how to integrate machine learning and deep learning with GIS workflows, perform object-based image analysis, and work efficiently with geospatial datasets for real-world applications.

Why Choose This Course

Every lecture is focused on practical application. You will learn how to implement machine learning and deep learning methods directly within GIS environments and how to use these tools to solve real geospatial problems. This course combines theory, hands-on coding, and software-based demonstrations to ensure you gain true applied competency.

What You Will Learn

• Machine learning and deep learning concepts for geospatial analysis
• LULC mapping using supervised learning algorithms
• Regression modeling in ArcGIS
• Object-based image analysis, segmentation, and object detection
• Applying algorithms such as Random Forest, SVM, Decision Trees, and CNNs
• Using Orfeo Toolbox, ArcMap, and ArcGIS Pro for machine learning workflows
• Running complete geospatial projects from data preparation to final maps
• Building two independent GIS projects to demonstrate your skills

Who This Course Is For

This course is ideal for geographers, GIS analysts, Remote Sensing professionals, environmental scientists, programmers, social scientists, geologists, researchers, and anyone who wants to apply machine learning and deep learning to geospatial datasets using QGIS and ArcGIS.

Included in the Course

You will receive access to all datasets, project files, and step-by-step instructions for running machine learning and deep learning algorithms in QGIS and ArcGIS. Future course resources are also included.

Enroll Today

Start mastering advanced geospatial techniques with machine learning and deep learning. Enroll now and begin applying powerful analytical methods to GIS and Remote Sensing tasks using QGIS and ArcGIS.