Aprendizaje automático en Python con Raspberry Pi y un coche robótico inteligente (nivel 3)
En este curso avanzado, los estudiantes explorarán el aprendizaje automático y la robótica utilizando Python y Raspberry Pi, trabajando en proyectos prácticos como matrices LED y autos robóticos inteligentes para profundizar sus habilidades de codificación y electrónica.
AI Code Academy
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Qué está incluido
10 reuniones en vivo
10 horas presencialesProyectos
2-4 horas por semana. Projects are not mandatory but we strongly encourage students to complete them.Evaluación
incluidoCertificado de finalización
1 después de finalizar la claseExperiencia de clase
In this advanced 10-lesson course students will explore the fascinating world of machine learning and robotics. Starting with integrated circuits and advanced circuit designs, they will work on exciting projects like controlling LED matrices to display images and numbers, building a 4-digit counter using a 7-segment display, and integrating attitude sensors with DC motors. Throughout the course, students will learn how to implement matrix keypads for stepper motors and combine various sensors and components to control robotic systems. By the end, they will have the skills to build and program their own smart robotic car, capable of performing complex tasks. For a week to week program, check out the syllabus.
Metas de aprendizaje
Students will learn how to control and communicate with various sensors using Python coding and Raspberry Pi and smart car
Programa de estudios
10 Lecciones
más de 10 semanasLección 1:
LED Matrix
Provide students with an advanced example of integrated circuit usage, as well as exposure to more complex circuit designs.
Task: LED Matrix Implementation
Aid students in creating the project circuit and code to cycle through an image, numbers, and letters on an LED matrix. 60 minutos de lección en vivo en línea
Lección 2:
4 x 7-Segment Display
Designed to provide students with more exposure to integrated circuits, along with a brief introduction to transistors.
Task: 4-Digit Counter
Assist students in the creation of the project circuit and development of code to make an upward-counting display. 60 minutos de lección en vivo en línea
Lección 3:
DC Motor
Provide students with an understanding of the attitude sensor component and its association with the Pi. Also, discuss new circuit component architectures.
Task: Attitude Sensor Setup
Instruct students to create the circuit and generate code in order to create a functional attitude sensor 60 minutos de lección en vivo en línea
Lección 4:
Stepper Motor
Discuss the concept of inputs from circuit components, through the use of a keypad, into a Pi. Also discuss the anatomy of the keypad component.
Task: Matrix Keypad Setup
Perform the tasks necessary to create a functional keypad that works in coordination with the Pi 60 minutos de lección en vivo en línea
Otros detalles
Orientación para padres
Dear Parents,
Thank you for your interest in our Machine Learning in Python With Raspberry Pi & Sensors & Robot Car (level 3). This class has a lot of fun hardware and coding projects, from which students have opportunities to learn some fundamental knowledge of both modern machine learning and Internet of Things (IoT). In this course students will learn additional sensors and have an opportunity to assemble and control a robot car using both rule-based and AI based models.
This class requires a lot of hands-on experience, and can be quite challenge to some young students. It also requires a lot of involvement from parents, in particular, to assemble the robot car before class.
Besides the hardware you got in the level 1 course, you would need to purchase Freenove 4WD Smart Car for Raspberry Pi ($69) from this link: https://a.co/d/h6sOKWn.
and two 18650 batteries (or 4) and a battery Charger:
https://www.18650batterystore.com/collections/samsung-18650-batteries/products/samsung-20s
https://www.18650batterystore.com/products/nitecore-i2-charger?_pos=1&_sid=63a69d299&_ss=r
Once you get the smart car kit, please follow the instruction in YouTube to assemble your smart car before your classes. https://youtu.be/vKE2TnTQcG0
Look forward to working with you
All the best
AI Code Academy
Requisitos previos
20 hours Python experience and 10 hours Raspberry Pi experience or having taken our Raspberry Pi level 1 and two course.
Lista de útiles escolares
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 iPads and no Chromebooks!!! 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
Se unió el April, 2020
4.7
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Experiencia y certificaciones del docente
**USE PROMO CODE: CODEAIPROMO10 FOR $10 OFF ANY COURSE - Valid until Nov, 25 **
~We offer early registration, sibling discounts, and multi-course bundles. ~
~Check out our complete Outschool offering here: https://shorturl.at/bcBGP ~
At AI Code Academy, we specialize in project-based STEM coding, AI, and mathematics programs for young learners. We are one of the few organizations that offer AI and machine learning courses tailored for kids. Our comprehensive curriculum spans from basic computer skills and Scratch coding to more advanced Python, Java, web design, game development, and AI machine learning projects.
Our unique focus is on introducing students to AI early, helping them grasp complex concepts like machine learning, data analysis, and smart devices, while also reinforcing mathematics skills, essential for their success in STEM fields.
With a team of passionate instructors—college students and recent graduates with degrees in Engineering and Computer Science—we provide hands-on, real-world projects that prepare students for future careers in AI, coding, robotics, and mathematics.Reseñas
Curso grupal en vivo
30 US$
semanalmente o 299 US$ por 10 clases1 x por semana, 10 semanas
60 min
Completado por 17 alumnos
Videoconferencias en vivo
Edades: 11-15
3-8 alumnos por clase
Asistencia financiera
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