10 Best Google Earth Engine Certification Courses, Training, Classes & Tutorials Online

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If you’re looking to build new skills or advance your career, these online courses can help you get started. Our editorial team reviewed dozens of highly rated programs, student reviews, course content, instructor quality, and enrollment numbers to create this list of the 10 Best Google Earth Engine Certification Online Courses, Training Programs, Classes, Tutorials, and Certifications available today.

Whether you’re a beginner or an experienced professional, these courses offer flexible learning options designed to help you gain practical knowledge and real-world skills at your own pace.

10 Best Google Earth Engine Certification Courses, Training, Classes & Tutorials Online

Online learning has become one of the most convenient and affordable ways to develop professional skills, prepare for certification exams, and stay competitive in today’s job market. The courses below were selected based on course quality, student feedback, instructor reputation, and overall value.

1. Start with Google Earth Engine & Spatial Analysis #Beginners by Kate Alison, Georg Müller Udemy Course Our Best Pick

Get introduced to Remote Sensing and big geodata and spatial analysis in Google Earth Engine, learn basics of JavaScript

At the time of writing, more than 9684+ students have enrolled in this course and shared over 118+ reviews.

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2. Complete Google Earth Engine for Remote Sensing & GIS by Minerva Singh Udemy Course

Harness the Power of Google Earth Engine for GIS Spatial Data Analysis & Remote Sensing

At the time of writing, more than 4612+ students have enrolled in this course and shared over 1039+ reviews.

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3. Google Earth Engine for Machine Learning & Change Detection by Kate Alison, Georg Müller Udemy Course

Become Expert in Spatial analysis & Remote Sensing for machine learning in land use / land cover in Google Earth Engine

At the time of writing, more than 2981+ students have enrolled in this course and shared over 256+ reviews.

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4. The Google Earth Engine Mega Course: Remote Sensing & GIS by Spatial eLearning, Dr. Alemayehu M. Udemy Course

Become a Google Earth Engine expert just in one course. Remote Sensing, GIS, JavaScript, Machine Learning

At the time of writing, more than 1726+ students have enrolled in this course and shared over 286+ reviews.

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5. Introduction to Google Earth Engine (GEE) by AulaGEO Academy, Mirza Waleed Udemy Course

Get started with geospatial data by applying the JavaScript programming language

At the time of writing, more than 1282+ students have enrolled in this course and shared over 29+ reviews.

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6. Big Geospatial Data Analysis with Google Earth Engine by Dr. Alemayehu M. Udemy Course

Learn to analyze, visualize big Earth observation data, Remote Sensing, GIS, Google Earth Engine Cloud Computing

At the time of writing, more than 865+ students have enrolled in this course and shared over 137+ reviews.

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7. QGIS & Google Earth Engine for Environmental Applications by Kate Alison Udemy Course

Conduct applied spatial analysis (Remote Sensing & GIS) for Environmental Applications in QGIS & Google Earth Engine

At the time of writing, more than 825+ students have enrolled in this course and shared over 123+ reviews.

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8. Google Earth Engine for Remote Sensing: from Zero to Hero by Kate Alison, Georg Müller Udemy Course

Get introduced and Become Expert in Geospatial analysis & Remote Sensing for spatial analysis in Google Earth Engine

At the time of writing, more than 694+ students have enrolled in this course and shared over 126+ reviews.

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9. Advanced Google Earth Engine(GEE) For Spatial Data Analysis by Minerva Singh Udemy Course

Google Earth Engine For Geospatial Data Analysis and Machine Learning For Remote Sensing Data in the Cloud

At the time of writing, more than 551+ students have enrolled in this course and shared over 103+ reviews.

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10. Predict just about anything with Google Earth Engine. Part I by Andrea Markos Udemy Course

Sampling strategies and tools: what you need to work through before applying machine learning or AI

At the time of writing, more than 76+ students have enrolled in this course and shared over 8+ reviews.

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