Raspberry Pi, Python, and Internet of Things (IoT) Project

Building 'Autonomous vehicles' and 'Home Monitoring', Internet of Things(IoT) projects using Raspberry Pi and Python

3.55 (18 reviews)
Udemy
platform
English
language
Hardware
category
instructor
Raspberry Pi, Python,  and Internet of Things (IoT) Project
182
students
2.5 hours
content
May 2019
last update
$29.99
regular price

What you will learn

The basic principles of installing and manipulating Raspberry Pi

Understand Python programs and run Raspberry Pi

Complete our autonomous driving car and home monitoring projects.

Why take this course?

Building 'Autonomous vehicles' and 'Home Monitoring', Internet of Things(IoT) projects using Raspberry Pi and Python


'Autonomous vehicle' and 'home monitoring' Internet of Things (IoT) project production using Raspberry Pi and Python

'Autonomous vehicles that avoid obstacles by itself',

'A home monitoring system that moves around in the house'.

The popularity of the Internet of Things (IoT) has increased the number of these products and services.

Raspberry Pie is a device that makes it easy and simple to make an IoT project.

Here you can use a good programming language called Python to complete the project we want.


In this Course, you will learn the basics of raspberry pie and Python

We will practice creating a simple but essential autonomous vehicle and a remote home monitoring project.


'Autonomous vehicle' and 'home monitoring' Internet of Things (IoT) project production using Raspberry Pi and Python


A self-driving car that recognizes obstacles and avoids them, and a home monitoring system that looks around the house from outside. Now, it has become a story that is not lowly around us. In particular, with the recent craze of the Internet of Things (IoT), various services that were previously unimaginable with small equipment and cost are becoming possible. The Raspberry Pi is a device that allows you to create IoT projects easily and simply. Here, we can complete the project we want by using a wonderful programming language called Python. In this lecture, you will learn the basics of Raspberry Pi and Python, and practice creating a simple but essential autonomous vehicle and remote home monitoring project. Materials and program sources used in the lectures can be obtained from the Cree Apple site, a knowledge learning center operated by instructors.


Screenshots

Raspberry Pi, Python,  and Internet of Things (IoT) Project - Screenshot_01Raspberry Pi, Python,  and Internet of Things (IoT) Project - Screenshot_02Raspberry Pi, Python,  and Internet of Things (IoT) Project - Screenshot_03Raspberry Pi, Python,  and Internet of Things (IoT) Project - Screenshot_04

Reviews

Sergey
January 11, 2020
The course is poorly structured and organized. It promotes itself as a course for the complete beginners in Raspberry Pi and Python, but gives no actual knowledge about the system and the programming language. There is no resources available for this course. If you need to assemble something, you need to check the schemes within a video. When someone requests additional resources in Q&A, author of the course refers to his personal educational website, but there are no available resources (and it's not on English). The speaker is heavily accented, but the course has subtitles (manually edited). Also the course has almost no practical value, because it is based on numerous manuals of "hot to assemble a robotic car with raspberry pi" that are found in the web. In fact, if you buy all the necessary components in a kit, most probably you will receive an instruction with the package, that covers most of the course.
Jin
July 1, 2019
Very easy to follow at a rapid pace, get some paper and fasten your seat-belts. I'm enjoying every second of this. Literally, I bought this course for specific lectures of the Python + Raspberry aspects, and after half an hour I already know way more than after 10 hours of the Zero-to-loT project. Highly recommended with thumbs up !

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2374198
udemy ID
5/19/2019
course created date
11/23/2019
course indexed date
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