Build a Real-Time Logistics Tracker with Python & AWS

Master AWS IoT & Location Service: Build a Real-Time Logistics Tracking System with Python
What you'll learn
Build a real-time fleet management system using AWS IoT Core and Amazon Location Service without physical hardware.
Implement Geofencing logic to automatically detect and notify when a vehicle enters or exits a specific area (e.g., a warehouse).
Develop a serverless notification pipeline using Amazon EventBridge and Amazon SNS for immediate alerts.
Create a frontend map application using MapLibre GL JS to visualize tracking data and real-time device movement.
Requirements
An active AWS Account (Free Tier is sufficient for most of the course).
Basic understanding of cloud computing concepts.
No physical IoT hardware (like Raspberry Pi) is required; we simulate devices using Python and Smartphones.
No complex local environment setup is needed; we use AWS CloudShell directly in the browser.
Description
Let's solve "Logistics Problems" with IT!Are you ready to build a professional-grade IoT Fleet Management System without buying any expensive hardware?This hands-on course is designed to teach you how to build a "Real-time Delivery Tracking" and "Geofence Arrival Notification" system using AWS and Python.In the logistics industry, "calling drivers to check their location" and "idle waiting times" are major inefficiencies. The solution is a dynamic management system powered by IoT technology. This course guides you through the Digital Transformation (DX) of logistics.Why take this course?No Physical Devices Required: We use Python scripts to simulate trucks and use your smartphone as a real GPS tracker. You don't need to buy a Raspberry Pi or sensors.Zero Local Setup: We use AWS CloudShell. You can complete the entire development within your browser's terminal, avoiding frustrating environment configuration issues.Full-Stack Experience: You will implement the entire data lifecycle: Sending (Python/MQTT), Receiving (IoT Core), Judging (Location Service), Visualizing (MapLibre/JS), and Notifying (SNS).What you will buildelivery Simulator: A virtual truck running through Washington D.C. (or your city) using Python.Real-Time Map App: A web-based map application that visualizes the truck's current location live.Automated Notification System: A logic that automatically emails the manager when a truck enters a specific radius (Geofence) of a destination.AWS IoT services often seem complex with many settings. However, this course explains "why this setting is necessary" based on real-world logistics scenarios, ensuring you never get lost.About the Instructor: Maruchin Tech Starting his career in SCM (Supply Chain Management) at a major Japanese automotive manufacturer, the instructor moved into IT consulting, specializing in systems for the manufacturing and logistics industries. He holds all AWS Certifications (as of 2025) and combines deep industry knowledge with technical expertise.Start building the future of logistics today!
Who this course is for
Software engineers and developers interested in IoT, Serverless architecture, and AWS map services.
Logistics and Supply Chain professionals looking to implement Digital Transformation (DX) and fleet tracking solutions.
AWS learners who want hands-on experience connecting multiple services (IoT Core, Location Service, Lambda, S3, Cognito).
Students and hobbyists who want to build location-based applications but don't want to buy expensive hardware.
Homepage