Les yeux sur l'IA - Ingénierie de la vision par ordinateur

Aperçu

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.

Programme

• Cours 1 : Optimisation et Déploiement de Modèles de Vision par Ordinateur
• Cours 2 : Optimisation des Flux de Travail IA et Déploiement de Modèles en Périphérie
• Cours 3 : Ajustement et Évaluation de Modèles IA de Vision
• Cours 4 : Avancer dans Votre Carrière en Ingénierie de Vision par Ordinateur

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Enseigné par

Professionals from the Industry

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Matières

Artificial Intelligence