Stream Real-Time Geo is a beginner-level course that introduces how real-time geographic data pipelines work in applications such as fleet tracking, logistics dashboards, and IoT monitoring systems. The course is designed for learners with basic JavaScript skills and familiarity with web maps and geographic coordinates who want to understand how live GPS data moves from devices to interactive dashboards.
Stream Real-Time Geo
Stream Real-Time Geo
This course is part of Geospatial Visualization, Cloud & Real-Time Pipelines Specialization
Instructor: ansrsource instructors
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Beginner level
Recommended experience
3 hours to complete
Flexible schedule
Learn at your own pace
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Recently updated!
March 2026
Taught in English
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This course is part of the Geospatial Visualization, Cloud & Real-Time Pipelines Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 3 modules in this course
In this introductory module, you will set up your first real-time GPS data stream using MQTT—a lightweight messaging protocol designed for high-frequency IoT scenarios. Through guided videos, live pipeline configuration, and simulated GPS feeds, you’ll learn how to publish and subscribe to live location data using a broker. You will work in a safe sandbox environment and focus on core streaming concepts: topics, payloads, latency, and reliability. By the end of this lesson, you’ll have a functioning GPS stream feeding into your local or cloud-based listener—forming the backbone of your fleet-tracking system.
What's included
2 videos1 reading1 assignment
In this module, you will bring your streaming GPS data to life through dynamic, interactive visualizations using Leaflet.js. Starting from basic map rendering, you’ll layer in real-time GPS updates, explore how to represent markers and polylines, and enable interactivity like panning and zooming. Whether tracking delivery fleets, wildlife, or emergency vehicles, you will walk away with a reusable dashboard foundation that updates live as new GPS points stream in. You’ll learn by doing—not just building maps, but turning raw location data into actionable, visual insights.
What's included
2 videos1 reading2 assignments
In this module, you will gain hands-on experience measuring end-to-end latency in a streaming GPS data pipeline and learn how to interpret latency metrics to identify bottlenecks. You’ll experiment with optimization techniques to improve performance—balancing throughput, accuracy, and responsiveness for real-time tracking applications.
What's included
2 videos2 readings2 assignments
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