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or 219 US$ for 10 classes
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Proyectos de inteligencia artificial con codificación Scratch (nivel 1)

Completado por 293 alumnos
Edades 11-16
Clase grupal
En este curso de Machine Learning con Scratch (nivel 4), los estudiantes crearán proyectos como asistentes inteligentes y chatbots entrenando modelos para reconocer sonido, imágenes y texto. El curso incluye 9 proyectos guiados y un proyecto final.
Puntuación media:
4.7
Número de reseñas:
(1,767 opiniones)
Popular

Videoconferencias en vivo
1 x por semana, 10 semanas
4-8 alumnos por clase
60 min

Qué está incluido

10 reuniones en vivo
10 horas presenciales
Tarea
1 hora por semana. Students will create an individual final project of their own design. They can spend as much time as they'd like outside of class, but most do not take more than 1 - 4 hours.
Evaluación
incluido
Certificado de finalización
1 después de finalizar la clase

Experiencia de clase

**USE PROMO CODE: CODEAICODEOFF30 FOR $30 OFF ANY 10 WEEK COURSE - Valid until Dec, 27 , 2024**

In this online live course, students will have hands-on experience training machine learning models to recognize sound, images, and text. They will apply the trained models using Scratch to create projects such as smart assistants, virtual pets, chatbots, emotion recognition systems, and intelligent maze games. Students will be exposed to two different approaches to intelligent problem solving and gain a solid understanding of the difference between rule-based models and data-based machine learning models. Our projects explain how and why we use machine learning, introduce big data, and demonstrate how these concepts can be applied together to create classification and regression models. We teach children computational programming skills and machine learning concepts through project based lessons. This course consists of 9 guided projects and one final project of the students' own design. Students will be asked to demonstrate their machine learning final project in the last class. 

Prerequisite: At least 15 hours Scratch coding experience is required
Recommended experience: Project-Based Scratch for Kids (Level 2)

Check the syllabus for a week to week program.

Metas de aprendizaje

Demonstrated skills upon completion:
Understanding of supervised machine learning
Proficiency in searching and sorting algorithms in Scratch
Ability to interpret machine learning results
Enhanced coding with loops, variables, and conditionals
Improved re

Programa de estudios

10 Lecciones
más de 10 semanas
Lección 1:
Introduction to AI and Machine Learning
 Students will be introduced to the concept of artificial intelligence.
Topics covered:
○	What is AI?
○	History of AI
○	Examples of AI
○	How do machines learn?
○	Creating image recognition machine learning models
Project: Build a machine learning model to detect whether you play rock, paper, or scissors using image recognition. 
60 minutos de lección en vivo en línea
Lección 2:
Pet Commands with voice recognition
 Students will learn to create data-based machine learning models using voice recognition to command animated pets in Scratch.
Topics covered:
○	Creating sound recognition machine learning models
○	Recording voice clips for training data
○	Using Scratch to listen for voice commands
Project: Make an animated pet follow verbal commands and do tricks using a sound recognition machine learning model. 
60 minutos de lección en vivo en línea
Lección 3:
Smart Light
 Students will learn to create and apply text recognition machine learning models, and compare machine learning solutions with rule-based solutions.
Topics covered:
○	Creating rule-based text matching models
○	Creating data-based machine learning models
○	Comparison of rule-based and data-based solutions
○	Discussion of applications of machine learning for smart home devices
Project: Create a smart light in Scratch that turns on when a command is given using a text recognition model. 
60 minutos de lección en vivo en línea
Lección 4:
Emotion Recognition
 Students create models that can recognize emotions of faces using image recognition. 
Topics covered:
○	Creating image recognition models
○	Represent confidence of prediction visually in Scratch
○	Understand the importance of quality training data 
Project: Train an image recognition machine learning model to recognize emotions in drawings of faces and use Scratch to display the confidence of results. 
60 minutos de lección en vivo en línea

Otros detalles

Orientación para padres
Dear Parents Welcome to our Machine Learning With Scratch Coding for Kids. In this online live course, students will have hands-on experiences for training AI machine learning systems and building things with them, by creating projects and games with Scratch using text, image, or sound recognition. All lessons are project based and each lesson contains one fun project. All students will be asked to finish a final project with their own ideas which will be presented on the last day. There will be some quizzes for students to finish at home. To get started, please create an account at https://aicode101.com, which we will be using both in and out of class for this course. 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 see this article on how to prepare for your 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, Delaware STEAM Academy
Lista de útiles escolares
Technical Requirements:
PC (Windows 10) or Mac (macOS 10.13) or ChromeOS with at least a 2GHz processor and 2GB of RAM (4GB of RAM is recommended).
Broadband internet with at least 1.8Mbps download and 900Kbps upload speeds
Webcam - Either external or built-in (many laptops have an integrated camera).
Microphone and Speakers - We recommend headphones with an integrated microphone
Recursos externos
Además del aula de Outschool, esta clase utiliza:

Ofrecido por

Se unió el April, 2020
4.7
1767reseñas
Popular
Perfil
Experiencia y certificaciones del docente
**USE PROMO CODE: CODEAINEWYEAR2025 FOR $25 OFF ANY 10 WEEK COURSE - Valid until Feb 15**
~We offer early registration, sibling discounts, and multi-course bundles. ~
~Check out our complete Outschool offering here: https://shorturl.at/bcBGP ~
~Get to know our coaches here: https://tinyurl.com/5j5crx59 ~

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.

Get to know our coaches here: https://tinyurl.com/5j5crx59

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