
This course includes our updated coding exercises so you can practice your skills as you learn.
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The lecture gives you the detailed overview of the entire course. You will get the clear idea, what is covered in the course and how this course will take your coding skill to the next level.
In this lecture, you will learn about the latest Raspberry Pi Zero Wireless. You will get to know the detailed specification of the board and how it differs from Raspberry Pi Zero.
In this lecture you will get to know the detailed comparison of Raspberry Pi 3 and Raspberry Pi Zero Wireless. You will also learn about the additional connections on board.
The lecture covers the hardware requirements to assemble the Pi Zero Wireless and get up and running with Raspberry Pi by installing the latest Raspbian OS without using external monitor, keyboard or mouse.
In this lecture you will get to know how to set WIFI & SSH on the latest Raspbian OS without the help of any external monitor, keyboard & mouse.
In this lecture you will get to know about IP scanning tool and how it helps us to solve our day to day problems.
The lecture describes how the Advanced IP scanner helps us to find the dynamic IP address of the Raspberry Pi and how we can access the terminal using Putty.
The lecture covers the latest method to set static IP address in the Raspberry Pi and access the same using Putty.
The lecture covers the process to access the graphical user interface of the Raspberry Pi remotely without using any external monitor.
The lecture covers the purpose of building this project and how this is helpful to solve our day to day problems.
The lecture covers the list of all hardware requirements needed for the project, it also explains the purpose of each component.
The entire set of hardware components are gathered and documented in this file for easy access.
The lecture covers the working principle of the Global Positioning System and real time example to understand how it works.
The lecture covers the process to assemble the circuit and the two different method to test the GPS module in the Windows environment.
The circuit diagram shows the ways to connect the RX & TX of the Raspberry Pi to the TX & RX of the USB to UART module and make it ready for the test.
This lecture is dedicated to testing the GPS module using the Raspberry Pi. This test can work on any version of the Raspberry Pi.
The circuit diagram shows, how we can attach the USB OTG cable to the Raspberry Pi and then connect the USB to UART module including GPS module.
The lecture explains about GPSD and its communication model.
The lecture covers how we can install and configure the GPSD to manually start using the Linux command.
The lecture describes about the addition GPS tracking tool which comes with GPSD to view the tracked satellites in the graphical user interface.
The lecture covers the process to automate the GPSD to start on boot. After this we don't need to manually configure the GPSD instance after the system boots.
The lecture covers how we can code in Python and fetch the incoming raw data of the GPS module and display the same on our console.
The lecture shows the real time demonstration of fetching the GPS raw data using Python on the console.
The lecture contain the error free source code for fetching the GPS raw data on the console using Python.
Using this particular program you will get to know, how we can extract the required data from entire set of raw data and display the same on console.
This is the real time video of the project demonstrating the required GPS data displayed on the console via Python programming.
The lecture contains the error free source code written in Python to fetch the required data from the GPS module.
The lecture describes how IoT is the game changer and how it solves our day to day problems. The lecture also covers the important IoT dashboard required to build the project and how we can visualize the incoming data.
This lecture covers in detail about the new Ubidots Platform.
The lecture covers designing the front-end of the IoT dashboard and the basic example of sending the data to IoT dashboard and visualize in real time.
The lecture covers the error free source code for basic data visualization. The data visualization is also shown in graphical format for better understanding.
This is the final circuit diagram of the project which can be used to build a complete GPS tracking system.
The lecture covers how we can extract the required data from the entire set of raw data and send it to the IoT dashboard for further processing and visualization.
Please follow this lecture as the Ubidots platform has changed recently. It shows the step-wise process to send the received GPS coordinates to the IoT Server, and configure the new dashboard to visualize the data on the map.
This lecture contains the stepwise process to configure the updated Ubidots dashboard and widget.
The lecture covers the ways to get rid of manually starting the program and automating the program to start on boot.
The video demonstrates the real time footage of the project in action. The device is a standalone system capable of relaying the GPS data to the IoT dashboard automatically.
The lecture contains the error free source code to visualize the GPS data in google map of the IoT dashboard.
The lecture demonstrates another advanced IoT tool to visualize the data in the more enhanced way.
This lecture contains important update regarding the advanced IoT dashboard.
The lecture covers the process to create and setup account in the advanced IoT dashboard step by step.
The lecture contains the first part of the advanced IoT dashboard programming which is responsible for establishing the connection with the server using the bucket key and the access key.
The lecture covers the second part of the program which is responsible for sending the latitude and longitude, altitude, speed and the address where the vehicle is located to the IoT dashboard for visualization.
The lecture covers the installation of the required library to execute the program and relay the data to the advanced IoT dashboard.
The lecture demonstrates the IoT dashboard in action. You can view the real time location of the vehicle on the map along with the address where the vehicle is located.
The lecture contains the error free source code to visualize the real time data on the IoT dashboard along with the address of the location.
The lecture contains the complete summary of the course and the future implementation plan.
Most of the time learners can log in to the Putty application and can control the Raspberry Pi from the Windows PC. But recently we came to know that for some users the Putty application gets stuck after entering the Password, if you are also facing the same issues, then this lecture can help to fix such problems.
In this lecture, you will understand how to increase the font size of the putty application for better visibility.
The lecture contains 40 essential GPS questions with their answers.
A Practical, Project-Based Course for Python, IoT, and Real-Time GPS Applications
Are you ready to take your Python and IoT development skills to the next level? This hands-on course teaches you how to design, build, and deploy a fully functional GPS tracking system from scratch using Raspberry Pi and Python — just like real industry IoT solutions. You won’t just learn theory. You will write actual code, configure real hardware, build a backend, and create a powerful GPS dashboard that tracks live movement, routes, and real-time coordinates. By the time you complete the course, you’ll have a fully working GPS tracker that you built yourself. Whether your goal is to track vehicles, monitor assets, build smart IoT applications, or simply upgrade your technical skill set, this course gives you everything you need.
Why This Course Stands Out?
Learn by Doing
You will build each component step-by-step — from the Raspberry Pi setup to Python programming and dashboard deployment. Every lesson focuses on practical implementation instead of dull theory.
Beginner-Friendly, No Prior Experience Needed
Even if you have never used a Raspberry Pi before, you can follow along easily. The course starts from absolute basics and gradually progresses to advanced IoT features.
Clear Step-by-Step Explanations
Every lecture includes on-screen demonstrations, diagrams, and clear walkthroughs to help you understand exactly what you are doing at each stage.
Build Something Real
By the end of this course, you won’t just “learn” IoT — you’ll have built your own GPS tracking system that updates live data, detects movement, and visualizes routes instantly.
What You Will Build and Learn?
The course is divided into 7 in-depth sections that guide you from setup to full deployment:
1. Raspberry Pi Zero Wireless Setup
Understand your Raspberry Pi model, its specifications, and why it’s ideal for compact IoT tracking devices. Learn how it differs from older models and how to configure it for maximum efficiency.
2. Headless OS Installation and Remote Access
Install the Raspberry Pi OS without a monitor, configure SSH access, and set a static IP address for stable remote connections. This section ensures you can work on your Raspberry Pi from anywhere.
3. Understanding GPS Technology
Learn how GPS satellites work, how location coordinates are calculated, and how your GPS module communicates with the Raspberry Pi. Test your module and verify successful data reception.
4. Linux Commands and GPS Automation
Run essential Linux commands to access raw GPS data. You will also learn how to automate services so your GPS tracking system automatically starts whenever the Raspberry Pi powers on.
5. Python Programming for Real-Time GPS Data
Write Python scripts to read, parse, and update GPS coordinates in real time. Track continuous movement and understand how to process NMEA sentences from GPS receivers.
6. Designing the IoT Dashboard
Build your own live tracking dashboard using web technologies. Visualize your Raspberry Pi’s coordinates, track routes, and access the dashboard from your phone, tablet, or computer.
7. Advanced GPS Analytics and Smart Insights
Create an enhanced dashboard that not only shows live data but also fetches real-time location addresses. Learn how to analyze travel routes, distances, and movements with smart insights.
Technical Support
We offer dedicated technical support throughout your learning journey. If you face any issue — from hardware connection errors to Python bugs — simply post your question in the Q&A section. Our support team responds within 24 hours (Monday to Saturday) with clear, actionable solutions. You are never learning alone.
Refund Policy
Your enrollment is completely risk-free. This course comes with a 30-day, no-questions-asked money-back guarantee. If you feel the course is not the right fit for you for any reason, you can request a full refund and the amount will be returned to your bank account. No explanations needed. You have nothing to lose and everything to gain.
This course teaches you skills that can be used in:
Vehicle tracking
Asset monitoring
Outdoor activity tracking
IoT product development
Robotics and drone projects
Research and academic projects
Join now and begin your journey toward mastering Python, IoT, GPS systems, and real-time data visualization. If you’re serious about learning by building, this course is designed for you.