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Machine Learning in Python With Raspberry Pi & Sensors (Level 2)

In this 10 lesson program, students will learn the concept of Internet of Things (IoT) and how to control and communicate with various sensors using Python coding and Raspberry Pi
AI Code Academy
1341 total reviews for this teacher
7 reviews for this class
Completed by 42 learners
year olds
learners per class


Charged upfront
$29 per class
Meets 1x per week
Over 10 weeks
75 minutes per class

Available Times


Available Times

There are no open spots for this class, but you can request another time or scroll down to find more classes like this.


Class Experience

Prerequisites: Python experience (15 hours at least) and Raspberry Pi experience (10 hours at least) required Materials needed: we presume you already had the following hardware. If any parts are spoiled please repurchase from Amazon: 1, CanaKit Raspberry Pi 3 Kit with 2.5A Power Supply ($60) 2, 32GB microSDHC Class 10 microSD Memory Card ($9) 3, Freenove Ultimate Starter Kit for Raspberry Pi 4 B 3 B+ ($50) 4, If your computer doesn't have a SDHC card port, you also need to purchase a Vanja Micro USB OTG Adapter
1 hour 15 minutes per week in class, and an estimated 2 - 4 hours per week outside of class.
To join this course, students must have learned how to build physical models using Raspberry Pi and Python, or participated in our Machine Learning in Python with Raspberry Pi and Sensors. We presume you already had Raspberry Pi and Sensors and your Pi has been connected to your computer
Technical Requirements:

PC (Windows 10) or Mac (macOS 10.13)  with at least a 2GHz processor and 2GB of RAM (4GB of RAM is recommended).

No Chromebook!!!

Broadband internet with at least 1.8Mbps download and 900Kbps upload speeds. Please make sure to remove your firewall if any

Webcam - Either external or built-in (many laptops have an integrated camera).

Microphone and Speakers - We recommend headphones with an integrated microphone 

Offered by

AI Code Academy
Lives in the United States
STEM Coding and Artificial Intelligence (AI) Programs
1341 total reviews
1358 completed classes

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