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)    https://www.amazon.com/CanaKit-Raspberry-Premium-Supply-Listed/dp/B01C6EQNNK/ref=sr_1_3?keywords=raspberry+pi+3&qid=1575431887&sr=8-3

2, 32GB microSDHC Class 10 microSD Memory Card ($9)    https://www.amazon.com/Kingston-32GB-microSDHC-microSD-SDCS/dp/B079GTYCW4/ref=sr_1_3?dchild=1&keywords=32GB+microSDHC+Class+10+microSD+Memory+Card&qid=1589205799&s=electronics&sr=1-3

3, Freenove Ultimate Starter Kit for Raspberry Pi 4 B 3 B+ ($50)     https://www.amazon.com/Freenove-Raspberry-Processing-Tutorials-Components/dp/B06W54L7B5/ref=sr_1_1?dchild=1&keywords=freenove+ultimate+starter+kit+for+raspberry+pi+4b+3+b%2B&qid=1589205731&s=electronics&sr=1-1

4, If your computer doesn't have a SDHC card port, you also need to purchase a Vanja Micro USB OTG Adapter   https://www.amazon.com/Vanja-Adapter-Portable-Memory-Reader/dp/B00W02VHM6/ref=sr_1_6?crid=27W57S4IKFGO9&dchild=1&keywords=sd+card+to+pc+adapter&qid=1591152969&sprefix=sd+card+to+pc%2Caps%2C149&sr=8-6

このクラスでは、Outschool内のクラスルームに加えて、以下を使用します。
Pi 3
32GB microSDHC 
Freenove Ultimate Starter Kit for Raspberry Pi 
Vanja Micro USB OTG Adapter  

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