Summer Camp: 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
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4.7
Number of reviews:(1,743)
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What's included
10 live meetings
12 hrs 30 mins in-class hoursProjects
2-4 hours per week. Projects are not mandatory but we strongly encourage students to complete them.Assessment
includedClass Experience
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. Through hands-on projects, students will explore how to connect and program sensors, read data, and make the Raspberry Pi interact with the physical world. For a week to week program, check out the syllabus.
Learning Goals
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
Syllabus
10 Lessons
over 2 WeeksLesson 1:
LCD Screen
Designed to provide students with an introduction to I2C communication, as well as experience in displaying information on an LCD Screen.
Task: LCD Screen Implementation
Assist students with I2C setup, circuit creation, and development of code which will allow the screen to display the current time and CPU temperature. 75 mins online live lesson
Lesson 2:
AD/DA
Designed to provide students with a more in-depth view of various circuit components and I2C communication in conjunction with the concepts of potentiometers, Analog-to-Digital conversion, and Digital-to-Analog conversion.
Task: Demonstrate AD/DA
Assist students in the creation of the project circuit and development of code which will
represent the AD/DA conversion process 75 mins online live lesson
Lesson 3:
RGB LED
Instruct students on the concepts of the RGB lighting system as well as the circuit components used to generate various combinations of RGB lighting.
Task: RGB LED Implementation
Walk students through the programming and circuit configuration necessary in order to set up an RGB LED 75 mins online live lesson
Lesson 4:
Thermistor
Walk students through the concept of heat-associated resistance and how it can be implemented on the Pi/Circuit.
Task: Thermistor Setup
Walk students through the programming and circuit configuration necessary in order to set up a thermistor within a circuit. 75 mins online live lesson
Other Details
Parental Guidance
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
Supply List
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
External Resources
In addition to the Outschool classroom, this class uses:
Joined April, 2020
4.7
1743reviews
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Teacher expertise and credentials
**USE PROMO CODE: CODEAIPROMO10 FOR $10 OFF ANY COURSE - Valid until Nov, 25 **
~We offer early registration, sibling discounts, and multi-course bundles. ~
~Check out our complete Outschool offering here: https://shorturl.at/bcBGP ~
At AI Code Academy, we specialize in project-based STEM coding, AI, and mathematics programs for young learners. We are one of the few organizations that offer AI and machine learning courses tailored for kids. Our comprehensive curriculum spans from basic computer skills and Scratch coding to more advanced Python, Java, web design, game development, and AI machine learning projects.
Our unique focus is on introducing students to AI early, helping them grasp complex concepts like machine learning, data analysis, and smart devices, while also reinforcing mathematics skills, essential for their success in STEM fields.
With a team of passionate instructors—college students and recent graduates with degrees in Engineering and Computer Science—we provide hands-on, real-world projects that prepare students for future careers in AI, coding, robotics, and mathematics.Reviews
Live Group Course
$289
for 10 classes5x per week, 2 weeks
75 min
Live video meetings
Ages: 11-15
3-8 learners per class
