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Coding & Tech

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

In this 10 lesson program, students will learn how to control and communicate with various sensors like AD DA & Potentiometer, thermistor, and joystick using Python coding and Raspberry Pi
AI Code Academy
1275 total reviews for this teacher
5 reviews for this class
Completed by 19 learners
  There are no upcoming classes.
90 minutes
per class
5x per week
over 2 weeks
year olds
learners per class
per learner - per class

How does a "Multi-Day" course work?

Meets multiple times at scheduled times
Live video chats, recorded and monitored for safety and quality
Discussions via classroom forum and private messages with the teacher
Great for engaging projects and interacting with diverse classmates from other states and countries

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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
7 hours 30 minutes per week in class, and maybe some time 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. You should already have had had Raspberry Pi and Sensors and your Pi has been connected to your computer or a separated monitor/keyboard/mouse
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
1275 total reviews
1233 completed classes

About Us

Project-based, STEM Coding + AI Programs + Mathematics

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