Computer Vision Courses and Certifications

Vision artificielle et exploitation intelligente des ressources naturelles

La vision artificielle est facile à mettre en oeuvre. Identifiez une niche commerciale en survolant une foule d'applications pratiques. Récoltez des données avec un drone. Entraînez des réseaux de neurones. Déployez une application sur un téléphone ou le…

• edX
• 5 weeks, 5-6 hours/week
• Self-Paced
• Free Online Course (Audit)

Career Certificate

Text Analytics with Python

Explore text analytics and NLP using Python, covering core techniques, machine learning pipelines, and ethical considerations while working with real-world case studies and popular libraries.

• edX
• 12 weeks, 3-6 hours/week
• Self-Paced
• $618.00
• 2 courses

Coursera Career Certificate

Applied Object Detection & Segmentation

Master production-ready object detection and segmentation systems with YOLOv8, dataset optimization, model evaluation, and scalable deployment using Docker and AWS Lambda.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course

Coursera

Annotate and Analyze Objects for Vision

Master quality-controlled annotation processes, bounding box reviews, and dataset consistency checks using IoU-based audits to build reliable vision datasets and configure detection models.

• Coursera
• 2 hours 8 minutes
• Self-Paced
• Paid Course

Coursera Career Certificate

Vision & Audio AI Systems

Master production-ready AI systems that unify visual and audio data through advanced multimodal techniques, ETL pipelines, fusion algorithms, and transformer fine-tuning.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 2 courses

Coursera

Optimize Vision Datasets: Augment and Analyze

Master vision dataset optimization through augmentation techniques and performance analysis using industry-standard validation methods and metrics interpretation.

• Coursera
• 2 hours 8 minutes
• Self-Paced
• Paid Course

Learning Deep Learning: Unit 3

Explore advanced deep learning with BERT, GPT, multimodal networks, and computer vision tasks like object detection using TensorFlow and PyTorch for real-world applications.

• Coursera
• 6 hours 29 minutes
• Self-Paced
• Paid Course

Coursera

Process Images & Extract Motion Features

Master image preprocessing and motion analysis techniques used by Tesla and Facebook AI Research to build robust computer vision systems with optical flow and normalization methods.

• Coursera
• 1 hour 50 minutes
• Self-Paced
• Paid Course

Coursera

Fine-Tuning and Evaluating Vision AI Models

Master fine-tuning, calibration, and evaluation of vision AI models across classification, detection, and segmentation tasks using transfer learning, AWS pipelines, and post-processing techniques.

• Coursera
• 11 hours 30 minutes
• Self-Paced
• Paid Course

Coursera

Vision Models: Train and Evaluate

Master computer vision model training with CNNs and Vision Transformers, plus evaluation metrics like mAP and IoU through hands-on TensorFlow labs and real-world projects.

• Coursera
• 2 hours 43 minutes
• Self-Paced
• Paid Course

Coursera

Deploy & Evaluate Vision Models Effectively

Master deploying computer vision models from notebooks to production—build inference pipelines, package reproducible APIs, and evaluate performance using precision, recall, and mAP like an MLOps engineer.

• Coursera
• 1 hour 49 minutes
• Self-Paced
• Paid Course

Coursera

Process Images, Create Captioning AI Models

Master image preprocessing techniques and motion analysis for computer vision, covering normalization, color-space conversions, optical flow, and frame differencing in hands-on implementations.

• Coursera
• 1 hour 40 minutes
• Self-Paced
• Paid Course

Coursera

Evaluate Vision Errors: Identify Failure Patterns

Master systematic error analysis to diagnose computer vision model failures, identify patterns, and improve performance beyond basic accuracy metrics through hands-on workflows.

• Coursera
• 1 hour 49 minutes
• Self-Paced
• Paid Course

Praktische Einführung in neuronale Netze und Deep Learning für Bildverarbeitung. Vermittelt Grundlagen, Tools und Optimierungstechniken für eigene KI-Projekte.

• openHPI
• 4 weeks
• Self-Paced
• Free Certificate

5 Minutes Engineering

Computer Vision - Complete Course with NumPy, PIL, and OpenCV in Hindi

Dive into computer vision fundamentals using Python, NumPy, PIL, and OpenCV with hands-on image processing, color spaces, thresholding, and noise handling techniques.

• YouTube
• 2 hours 38 minutes
• Self-Paced
• Free Video