Course Description:
This course bridges the gap between traditional geospatial analysis and cutting-edge artificial intelligence technologies. You will learn how to apply machine learning algorithms, deep learning models, and AI techniques to solve complex spatial problems using satellite imagery, remote sensing data, and various geospatial datasets. The course emphasises hands-on experience with industry-standard tools, including Python geospatial libraries, Google Earth Engine, Python, and ArcGIS Pro, preparing students for careers in the rapidly growing GeoAI field.Prerequisites:
- Introduction to GIS
- Basic Python Programming
- Statistics
Course main points:
- Introduction to Geospatial AI
- Spatial Data Fundamentals for AI
- Machine Learning Foundations
- Advanced Spatial Statistics and ML
- Deep Learning for Remote Sensing
- Cloud Computing and Scalable GeoAI
- Advanced Applications and Emerging Trends
Course Duration:
40 Hrs
Instructor Bio
Dr Mohamed Wahba
- A System Engineering, Computing and Artificial Intelligence expert with a specialization in space system development. Brings over eight years of experience in geographic information systems (GIS) and artificial intelligence (AI), and has published research in multiple areas related to AI systems
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