등록 시 1개의 파일을 볼 수 있어요.
Prerequisites: Python experience (10 hours at least) required

Materials: students need to purchase the following items:
1, Raspberry Pi Kit from:  https://a.co/d/fHRuqCH

or https://www.canakit.com/raspberry-pi-4-extreme-aluminum-case-kit.html

2, AICode101 Starter Toolbox for Raspberry Pi 4 B 3 B+ ($59)     https://www.illum.ai/products/aicode101-starter-toolbox-for-raspberry-pi.html

3, If your computer doesn't have a SDHC card port, you also need to purchase an adapter   https://www.amazon.com/Vanja-Adapter-Portable-Memory-Reader/dp/B00W02VHM6

이 수업에서는 아웃스쿨 교실 외에도 다음의 툴을 사용합니다:
CanaKit Raspberry Pi 3 Kit with 2.5A Power Supply 
32GB microSDHC Class 10 microSD Memory Card 
Vanja Micro USB OTG Adapter

Dear Parents,

Thank you for your interest in our Machine Learning in Python With Raspberry Pi & Sensors program. In this online live course, students will program in Python to control various electronic modules that connect to Raspberry Pi including LEDs,  buzzers, servos, ultrasonic sensors, IR sensors, and more using machine learning models. This program is for intermediate to advanced students who had at least 10 hours of Python experience and are new to programming on the Raspberry Pi. This class requires a lot of hands-on experience, and can be quite challenge to some young students. It may also require some involvement from parents, particularly when setting up the Raspberry Pi operating system. Some students are able to complete the setup independently, while others may need assistance with these steps. Please communicate with your learner before enrolling in this class. To prepare, please purchase the hardware listed in the Materials section and Learner Supply List one week before the first class to allow time for shipping. 

For our lessons, students will need to install our prepared Raspberry Pi OS image which has been specifically configured for our courses. It contains the necessary files and settings, and has been tested thoroughly with every lesson to ensure everyone can be successful with the projects. Our environment also features a new simplified headless setup method which allows you to enter WiFi settings directly on your Raspberry Pi from any device. We require students to use VNC Viewer to access the Raspberry Pi desktop so that instructors are able to assist with programming. If students prefer to use a separate monitor and keyboard, they may do so in addition to connecting through VNC. To get started, please watch the setup video. 
https://www.youtube.com/watch?v=PbAK4gUvZkk

All required software is available on Windows or Mac - No Chromebooks. Please see technical requirements in Sources for more details.

Important notes:
As per Outschool Policy: For the safety of all students, all cameras must be on during the entire class duration, or at least for the first few minutes of the class session in certain circumstances. Please mute your audio (keep video enabled) during the class session.

For those that have never used Outschool before, please follow this link for some awesome preparation before our first class:
https://support.outschool.com/en/articles/802757-how-to-prepare-for-your-first-class
To join the class, please login to your Outschool account and click the scheduled session to get into the classroom, where you click “Join live meeting” to join the zoom classroom. There is no zoom link needed.

If you have any questions/concerns please feel free to reach out through us on Outschool. We are beyond excited to have this opportunity to go on this amazing coding adventure with you all. Please come prepared and ready to learn for our first class, see you soon!

Best regards,
AI Code Academy