What You'll Learn
- Preprocess satellite imagery for AI using Python and Google Earth Engine.
- Build and train CNNs for geospatial tasks like crop health classification.
- Apply deep learning to analyze satellite data for real-world applications.
- Evaluate and optimize AI models with metrics and hyperparameter tuning.
Requirements
- No prior experience needed! Basic Python knowledge is helpful but not required. You'll need a computer, internet access, and a free Google account for Google Colab. All tools and datasets are provided in the course!
Who This Course is For
- Beginner Data Scientists: New to AI and geospatial analysis, eager to learn deep learning for satellite imagery.
- GIS Professionals: Looking to integrate AI into geospatial workflows for tasks like land cover or crop analysis.
- Environmental Researchers: Interested in applying CNNs to satellite data for climate or agricultural studies.
- Students and Hobbyists: Curious about geospatial AI, with basic Python skills or a willingness to learn.
Your Instructor
Senior Assist Prof Azad Rasul
Top 2% Scientist 2025 | Python, R, & Remote Sensing Expert.
4.2 Instructor Rating
1,150 Reviews
94,932 Students
10 Courses
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