Preparación para el Examen de Certificación de Practicante de IA de AWS

Resumen

This course prepares learners for the AWS Certified AI Practitioner certification while building a strong foundation in artificial intelligence, machine learning, and generative AI on AWS. Designed for professionals working with AI-enabled applications and cloud technologies, the course explains key AI concepts, common use cases, and best practices for implementing AI solutions responsibly.

Learners will explore how AI and ML systems work, how generative AI models are applied in real-world scenarios, and how AWS services support the development and deployment of AI-powered applications. The course also focuses on selecting the right AWS tools for different workloads and understanding responsible AI principles such as fairness, transparency, and governance.

By the end of the course, learners will have the knowledge required to prepare for the AWS Certified AI Practitioner exam, along with a clear understanding of how AI services are used in modern cloud environments.

Programa

• Introducción a la Inteligencia Artificial
• El Ciclo de Vida del Desarrollo de ML
• Aprendizaje Automático
• Evaluación y Despliegue de Modelos de ML
• Introducción a la Inteligencia Artificial Generativa (GenAI)
• Modelos Fundamentales y Aplicaciones
• Ingeniería de Prompts
• Servicios e Infraestructura GenAI de AWS
• Servicios de IA Gestionados por AWS
• Servicios de Amazon SageMaker
• IA Responsable
• Gobernanza para Soluciones de IA

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Impartido por

Neal Davis and Karim ElKobrossy

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Materias

Programming