En este curso, se presentan los conceptos de la IA responsable y los principios de la IA. Se abordan técnicas para identificar de forma práctica la equidad y los sesgos, y mitigar los sesgos en las prácticas de IA/AA. Se exploran métodos y herramientas funcionales para implementar prácticas recomendadas de la IA responsable con productos de Google Cloud y herramientas de código abierto.
Responsible AI for Developers: Fairness & Bias - Español
Responsible AI for Developers: Fairness & Bias - Español
Instructor: Google Cloud Training
Sponsored by Pontificia Universidad Católica del Perú
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
What you'll learn
Definir qué es la IA responsable
Identificar los principios de la IA de Google
Explicar qué significan la equidad y el sesgo en la IA
Explicar cómo identificar y mitigar sesgos a través de datos y modelado
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
2 assignments
Taught in English
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There are 5 modules in this course
En este módulo, se presenta la estructura del curso y sus objetivos.
What's included
1 video
En este módulo, se ofrece una descripción general de la IA responsable y se abordan los principios de la IA de Google y temas secundarios de la IA responsable. Además, se brindan casos de éxito reales de la IA responsable en productos de Google.
What's included
4 videos1 assignment
Este módulo se enfoca en la equidad y los sesgos de la IA. Proporciona varias técnicas y herramientas para identificar y mitigar sesgos a través de datos y modelado.
What's included
9 videos1 assignment1 app item
En este módulo, se proporciona un resumen de todo el curso que cubre los conceptos, las herramientas y las tecnologías más importantes.
What's included
1 video1 reading
Vínculos a archivos PDF de todos los módulos para estudiantes
What's included
4 readings
Instructor
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