Build AI Models for Geospatial Data and Satellite Imagery
Sub Category
- Programming Languages
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Objectives
- 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.
Pre Requisites
- 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!
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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