Prácticas de IA responsable (Español LATAM) | Responsible Artificial Intelligence Practices (LATAM Spanish)

via AWS Skill Builder

Resumen

In this course, you will learn about responsible AI practices. First, you will have access to an introduction that explains what responsible AI is. You will learn to define responsible AI, understand the challenges that responsible AI aims to overcome, and explore the fundamental dimensions of responsible AI.

Next, you will delve into some topics on developing responsible AI systems. You will receive an introduction to the services and tools AWS offers to help you develop responsible AI. You will also learn about the responsible AI considerations to take into account when selecting a model and preparing data for your AI systems.

Finally, you will learn about transparent and explainable models. You will gain a solid understanding of what it means for a model to be transparent and explainable. You will also explore the advantages and disadvantages of transparent models and the principles of human-centered design for explainable AI.

Course level: Basic
Duration: 1 hour

In this course, you will have access to interactive elements, textual instructions, illustrative graphics, and knowledge assessments.

In this course, you will learn to:

Describe responsible AI.
Explain biases in AI models.
Identify the risks of generative AI.
Identify the fundamental dimensions of responsible AI.
Describe the services and tools AWS offers for responsible AI.
Explain responsible practices when selecting a model.
Describe the characteristics of responsible data sets.
Describe transparent and explainable models.
Identify the advantages and disadvantages of responsible AI models.
Explain the principles of human-centered design.

This course is designed for the following individuals:

Individuals interested in machine learning and artificial intelligence regardless of a specific job role.
Individuals who wish to take the AWS Certified AI Practitioner certification exam.

The Responsible AI Practices course is part of a series that provides a knowledge base on artificial intelligence, machine learning, and generative AI. If you haven't already, it is recommended that you complete the two courses mentioned below: