Ojos en la IA - Ingeniería de Visión por Computadora

Resumen

Computer vision powers applications such as autonomous vehicles, smart retail, medical imaging, and industrial automation. In this Professional Certificate, you'll learn how to build, optimize, evaluate, and deploy computer vision systems used in real-world AI products.

You’ll begin by preparing and analyzing vision datasets, applying augmentation techniques, and evaluating model performance using task-specific metrics and error analysis. You’ll also learn how to diagnose deep learning training issues and reproduce AI experiments using structured workflows.

Next, you’ll optimize machine learning pipelines using PyTorch and modern MLOps practices. You’ll analyze GPU performance bottlenecks, design efficient data pipelines, visualize experiment results, and prepare models for deployment on edge devices.

In the final stage, you’ll work with core computer vision tasks, including image classification, object detection, and image segmentation. You’ll fine-tune pre-trained models, evaluate prediction calibration, analyze annotation quality, configure anchor boxes, and refine segmentation outputs.

Through hands-on projects that mirror real engineering tasks, you’ll gain practical skills for developing and maintaining production-ready vision AI systems.

Programa

• Curso 1: Optimización y Despliegue de Modelos de Visión por Computadora
• Curso 2: Optimización de Flujos de Trabajo de IA y Despliegue de Modelos en el Borde
• Curso 3: Ajuste Fino y Evaluación de Modelos de IA de Visión
• Curso 4: Avanzar en tu Carrera en Ingeniería de Visión por Computadora

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Impartido por

Professionals from the Industry

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Materias

Artificial Intelligence