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FLASH SALE Development Updated 24 min ago

Geospatial AI: Deep Learning for Satellite Imagery

Analyze Sentinel imagery with Python, Google Earth Engine, CNNs, and U-Net for classification and segmentation.

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Our Review

Geospatial AI: Deep Learning for Satellite Imagery is a Development course on Udemy. Analyze Sentinel imagery with Python, Google Earth Engine, CNNs, and U-Net for classification and segmentation. The material is organised so learners can progress from the fundamentals to applying what they have learned in realistic scenarios.

Key Skills You Will Learn

  • Preprocess Sentinel-2 imagery for deep learning using Python and Google Earth Engine.
  • Calculate geospatial indices and summarize raster data using zonal statistics.
  • Build CNN models for satellite image classification and crop health analysis.
  • Evaluate models using accuracy, precision, recall, and cross-validation, and tune their hyperparameters.
  • Build and train a U-Net model for semantic segmentation.
  • Visualize segmentation predictions and export results as GeoTIFF files.

Who This Course Is For

This course suits learners who want a guided, self-paced path into Development, from complete beginners to practitioners looking to refresh or formalise their knowledge. Check the curriculum and requirements section on Udemy to confirm it matches your current level.

Our Take

If the topic aligns with your goals, this is a convenient way to build skills on your own schedule. Udemy courses include lifetime access to the enrolled content, so you can revisit lessons whenever you need them.

Before you enroll

  • Free Udemy coupons are limited to 1,000 enrollments and a maximum of 5 days — the earlier you enroll, the better.
  • Make sure Udemy shows Free (or $0) at checkout before you complete enrollment.
  • Once you enroll with a valid coupon, the course stays in your library with lifetime access.
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