Inteligencia artificial y aprendizaje automático: codificación de IA y aprendizaje automático, informática
Este curso integral de 16 semanas presenta a los estudiantes la inteligencia artificial y el aprendizaje automático a través del plan de estudios práctico de Code.org. Los estudiantes aprenderán a crear modelos de aprendizaje automático, crear aplicaciones interactivas y explorar el mundo real de la IA.
Qué está incluido
16 reuniones en vivo
16 horas presencialesProyectos
1 hora por semana. incluidoCertificado de finalización
incluidoExperiencia de clase
In this engaging 16-week course, students dive deep into the fascinating world of artificial intelligence and machine learning using Code.org's proven curriculum. The class meets weekly for 55-minute live sessions that combine structured learning with hands-on coding practice. Class Experience: This course is thoughtfully structured to build understanding from the ground up: What Will Be Taught: Fundamentals of artificial intelligence and machine learning How computers learn from data to make decisions Building and training ML models using AI Lab Creating interactive apps with App Lab Understanding AI ethics and real-world applications Weekly Structure: First 15 minutes: Concept introduction and demonstration Middle 30 minutes: Guided hands-on practice with real-time support Final 10 minutes: Share work, troubleshoot, and preview next week's content Teaching Style & Interaction: Interactive instruction with frequent opportunities for questions and discussion Live coding demonstrations where students can follow along Small group activities to explore concepts like data classification and pattern recognition Regular opportunities to share projects and get feedback from peers Individual support during hands-on practice sessions Topics Covered Week by Week: Weeks 1-4: Introduction to App Lab and machine learning foundations Weeks 5-8: Working with data patterns and classification models Weeks 9-12: Building and improving machine learning models Weeks 13-16: Advanced concepts and final project development Student Engagement: Students actively participate through live coding exercises Regular group discussions about AI applications and ethics Interactive problem-solving activities Project sharing and peer feedback sessions Hands-on practice with real-world datasets By the end of this course, students will have created multiple working applications using machine learning, developed a strong understanding of AI concepts, and gained practical experience with industry-standard tools. Note: This course uses Code.org's curriculum and platforms (App Lab and AI Lab) which are free and accessible to all students. No additional software purchases are required.
Metas de aprendizaje
Create interactive applications using App Lab's JavaScript environment, incorporating features like buttons, text input, and multiple screensTrain machine learning models using AI Lab to recognize patterns and make data-driven predictions
Programa de estudios
16 Lecciones
más de 16 semanasLección 1:
Intro to App Lab
Learn to use App Lab to build apps with buttons, text, images, and sounds.
- Control buttons, text, and images in JavaScript.
- Design interactive screens in App Lab.
- Share your app with friends and family. 60 minutos de lección en vivo en línea
Lección 2:
Introduction to Machine Learning
Discover how machines learn from data using patterns to make decisions.
- Train a robot to detect fish patterns.
- Understand how data helps machines learn.
- Solve problems using machine learning. 60 minutos de lección en vivo en línea
Lección 3:
Types of Machine Learning
Explore different ways machines learn, like supervised and unsupervised learning.
- Simulate machine learning with activities.
- Understand supervised and unsupervised learning.
- Identify types of learning from examples. 60 minutos de lección en vivo en línea
Lección 4:
Innovations in AI
Learn how AI helps solve real-world problems like supporting visually impaired people.
- Explore AI applications like Seeing AI.
- Research real-world AI innovations.
- Share findings on AI's societal impact. 60 minutos de lección en vivo en línea
Otros detalles
Orientación para padres
This course uses Code.org's curriculum and platform which is designed specifically for students aged 11 and up. While we discuss artificial intelligence and its societal impacts, all content is age-appropriate and focuses on positive applications of technology. In Lesson 15, we will discuss ethical considerations in AI development, including examples of AI bias and fairness issues, which may lead to thoughtful discussions about technology's impact on society.
Recursos externos
Además del aula de Outschool, esta clase utiliza:
Fuentes
Primary Curriculum: Code.org's AI & Machine Learning Course (2024-2025 version)
AI Lab and App Lab - Code.org's educational platforms
Supplemental materials from:
MIT App Inventor's AI curriculum
AI4K12.org guidelines
Common Sense Media's Digital Citizenship resources for AI topics
Se unió el December, 2024
Experiencia y certificaciones del docente
4 Grado
Maestría en Ciencia desde 🏅 Sullivan University
Maestría en Administración y Direccion de Empresas desde 🏛️ Sullivan University
Licenciatura en Tecnologías de la información desde 🏫 Kaplan University
Grado asociado en Artes y ciencias liberales desde 🏅 Des Moines Area Community College
I have a double masters in Business and Technology. and a bachelor'sdegree in Information Technology. Reseñas
Curso grupal en vivo
15 US$
semanalmente o 237 US$ por 16 clases1 x por semana, 16 semanas
60 min
Videoconferencias en vivo
Edades: 11-16
2-8 alumnos por clase
Asistencia financiera
Obtener la aplicación
Tutoría
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