Learn Google earth engine Online: Free Course with AI Tutor & Certificate
You will learn to filter, visualize, and analyze satellite imagery using the Google Earth Engine Code Editor. This free 4-hour course spans 28 video lessons, teaching you how to perform land cover mapping and time series analysis. By the end, you'll be able to build real-world environmental monitoring projects.
What you'll learn in this Google earth engine course
Five concrete outcomes you'll walk away with, each mapped to modules in the curriculum below.
Understand the key features and benefits of using Google Earth Engine in analyzing satellite imagery.
Set up a Google Earth Engine account and navigate the Earth Engine Code Editor.
Filter, select, and visualize image collections in Google Earth Engine.
Perform image manipulation and analysis techniques such as visualization enhancement, land cover mapping, time series analysis, and compositing.
Apply advanced techniques including working with vector data, spatial and temporal analysis, creating custom functions and algorithms, and exporting and sharing results.
Google earth engine course syllabus
01 Introduction to Google Earth Engine
- What is Google Earth Engine?
- Purpose and Benefits of Using Google Earth Engine in Analyzing Satellite Imagery
- Key Features of Google Earth Engine
- Accessing and Visualizing Satellite Imagery in Google Earth Engine
02 Getting Started with Google Earth Engine
- Setting Up Google Earth Engine Account
- Exploring the Earth Engine Code Editor
- Understanding the Earth Engine User Interface
- Introduction to JavaScript in Google Earth Engine
03 Working with Image Collections in Google Earth Engine
- Introduction to Image Collections
- Filtering and Selecting Images in an Image Collection
- Visualizing Image Collections
- Calculating Statistics on Image Collections
04 Image Manipulation and Analysis in Google Earth Engine
- Image Visualization and Enhancement Techniques
- Image Classification and Land Cover Mapping
- Image Time Series Analysis
- Image Compositing and Mosaicking
05 Advanced Techniques in Google Earth Engine
- Working with Vector Data in Google Earth Engine
- Performing Spatial and Temporal Analysis
- Creating Custom Functions and Algorithms
- Exporting and Sharing Results from Google Earth Engine
06 Case Studies and Applications of Google Earth Engine
- Monitoring Deforestation and Land Use Change
- Assessing Crop Health and Yield Estimation
- Mapping Urbanization and Infrastructure Development
- Tracking Environmental Changes and Natural Disasters
07 Additional Resources and Further Learning
- Google Earth Engine Documentation and Help Center
- Earth Engine Code Editor Tips and Tricks
- Community Forums and User Groups
- Recommended Books and Online Courses
Real-world projects you'll work on
Practice the exact kind of work Google earth engine professionals do on the job.
Mapping Urbanization and Infrastructure Development for Sustainable Growth
Monitoring Deforestation and Land Use Change for Environmental Conservation
Assessing Crop Health and Yield Estimation for Precision Agriculture
Tracking Environmental Changes and Natural Disasters for Disaster Management and Resilience Planning
Skills you'll gain
Add these to your LinkedIn profile and resume the day you finish.
Who should take this Google earth engine course?
And exactly what you need before starting (spoiler: almost nothing).
This course is for
- GIS students and researchers looking to transition from traditional desktop software to cloud-based spatial analysis.
- Environmental scientists who need to monitor deforestation, crop health, or urbanization patterns across large regions in India.
- Data analysts wanting to add satellite imagery manipulation and remote sensing to their technical toolkits.
- Working professionals in urban planning or disaster management seeking an accessible learn google earth engine program.
Prerequisites
- No prior experience with Google Earth Engine is required to begin this course.
- A basic understanding of GIS concepts or remote sensing will help you grasp the material faster.
- Familiarity with simple programming concepts like variables and functions is recommended for using the Code Editor.
How learning works on LearnTube
The structure of a bootcamp, the price of free.
AI curates your path
Our AI picks the top 1% of video content for each topic and arranges it into a structured, goal-based curriculum. No more tutorial roulette.
Learn, then get quizzed
After every lesson, your AI tutor asks you a question and gives personalised feedback on your answer, so gaps get fixed immediately.
Finish with proof
Complete the course, build the capstone project, and claim a certificate recognised by 900+ hiring partners.
A complete Google earth engine course: free, structured and job-focused
You'll start by setting up your account and writing scripts in the Earth Engine Code Editor to visualize satellite data. This google earth engine tutorial teaches you how to process large-scale geospatial datasets without needing massive local computing power. Over 4 hours of content, you will explore the fundamentals of remote sensing and spatial analysis. The curriculum begins with Introduction to Google Earth Engine and Getting Started with Google Earth Engine, where you learn to navigate the platform. From there, you move into Working with Image Collections in Google Earth Engine and Image Manipulation and Analysis in Google Earth Engine, mastering techniques like time series analysis and compositing.
Once you understand the basics, the training covers Advanced Techniques in Google Earth Engine, including vector data manipulation and custom algorithms. You will apply these skills across four hands-on projects. You'll build tools for Mapping Urbanization and Infrastructure Development for Sustainable Growth, and tackle Monitoring Deforestation and Land Use Change for Environmental Conservation. The course also includes Assessing Crop Health and Yield Estimation for Precision Agriculture, plus Tracking Environmental Changes and Natural Disasters for Disaster Management and Resilience Planning. Finally, Case Studies and Applications of Google Earth Engine and Additional Resources and Further Learning will prepare you for independent research.
LearnTube makes taking this google earth engine course free and highly interactive. The platform organizes curated YouTube videos into 7 structured modules, pairing every single lesson with an AI-tutor quiz to test your knowledge instantly. If you make a mistake, the AI explains the correct answer so you don't fall behind. You can study at your own pace from anywhere. Once you finish all 28 video lessons, you have the option to purchase a verified certificate to add to your resume.
Jobs you can target after learning Google earth engine
Google earth engine is a gateway skill for some of the fastest-growing roles in tech.
Analyzes spatial data and creates maps to support urban planning and environmental monitoring.
Processes satellite imagery to track land use changes, agricultural health, and natural disasters.
Develops custom algorithms to extract meaningful patterns from large-scale geographic datasets.
Typical entry-level salary ranges in India as of September 2026. Actual compensation varies by city, company and experience.
Earn a Google earth engine certificate employers recognise
Finish the course and claim a certificate you can share anywhere.
- Learn 100% free: every lesson, quiz and the AI tutor cost nothing
- Claim your certificate when you complete the course (an optional paid add-on)
- Recognised by 900+ hiring partners across India
- One click to share on LinkedIn and add to your resume
Why learners choose LearnTube
Real reviews from Google. You learn free, you get assessed free, and you pay only if you want the certificate.
Though I have 11 years of experience as an HRBP, the course helped me refresh my knowledge and gave me insights into new trends in the market. The modules were clear and easy to understand, and the quizzes were well designed. I have added the certificate to my LinkedIn profile.
I had a lot of doubts while learning, but the AI chatbot answered them in detail with simple summaries. The videos on the platform saved me a lot of time as I didn't have to search YouTube and watch random content.
Just earned my certificate in HR Management from LearnTube.ai! The platform is user-friendly and the assessment was a great way to validate my knowledge. Feeling proud of this accomplishment!
I enrolled in a LearnTube personalized course to get into a Data Analytics role. It helped me learn SQL in depth and gave me hands-on experience with Power BI. I attached the LearnTube certificate to my CV, it added credibility to my profile, and I'm currently in the interview process.
The interface is user-friendly and intuitive, making it easy to navigate the course. I encountered no errors during my time using the platform, which was a refreshing change from other online learning platforms.
Just cleared the Business Analyst assessment and got certified! Loved how the course simplifies big concepts like data-driven decision making into short, practical lessons. The automated quizzes kept me on track the whole time. Perfect boost for my resume!
The certificate gave me a real edge during my B.Tech. By the time I graduated, I had skills that set me apart from my peers, and the certification opened up more job opportunities. It gave me the confidence to stand out during interviews.
I manage many software projects as a General Manager and was looking for a good certification program to stay competitive. After researching many programs, I chose LearnTube and it was much better than I expected. The material is well-organized and practical, and what I liked most is the lifetime access.
Frequently asked questions
Everything learners ask before starting this Google earth engine course.
How long does it take to finish this GEE course?
It takes about 4 hours to complete all 28 video lessons and their accompanying quizzes. Because the modules are entirely self-paced, you can spread the videos over a weekend or finish them in a single afternoon.
What will I be able to build after this training?
You'll be able to build functional environmental monitoring tools. The projects teach you to map urbanization, track deforestation, estimate crop yields, and assess natural disaster impacts using real satellite imagery and custom algorithms.
Is Google Earth Engine still in demand for geospatial work?
Yes, it is highly sought after. Organizations increasingly rely on cloud-based platforms to process massive satellite datasets quickly. Knowing how to use this tool makes you a strong candidate for modern GIS and environmental science roles.
Are there any hidden fees for this earth engine tutorial?
No, learning the material is completely free. You can watch every video and take all the AI quizzes without paying. The only cost is if you choose to buy the optional certificate after finishing the modules.
Do I need to install heavy software to run the projects?
You don't need to install anything. All the image manipulation and spatial analysis happens directly in your web browser using the cloud-based Code Editor, saving you from needing a high-performance local computer.
Will I learn how to use vector data in this curriculum?
Yes, the advanced techniques module specifically covers working with vector data. You'll learn how to combine vector shapes with raster image collections to perform complex spatial and temporal analysis on specific geographic regions.
Is this course suitable for complete beginners?
It is designed to be accessible. The first lesson covers exactly what the platform is and helps you set up an account. However, having a basic grasp of programming logic will make writing scripts much easier.
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