Data Exploration & Preparation
Master data science workflows, from raw data acquisition to clean, ML-ready datasets
Computer Vision
Apply computer vision to real business problems from basics to production
Computer Vision for Business
Apply computer vision to real business problems: from foundations to production deployment with cloud APIs and custom models. Skills: PyTorch, FastAPI, CNNs, Cloud APIs, Transfer Learning, MLOps
Course 3Advanced Computer Vision
Deep dive into CNN architectures, feature engineering, transfer learning optimization, and production deployment with MLOps. Skills: VGG/ResNet, YOLO, Albumentations, Docker
AI Development
Leverage AI assistants to accelerate development and understand AI capabilities
À propos du cours
Ce que vous allez apprendre
Concepts Clés
Data Science - Data workflows, ETL, APIs • Machine Learning - Python, Orange, ML-ready datasets • Computer Vision - CNNs, Transfer Learning, MLOps • AI Development - LLM assistants, Copilot, Claude
Programme
4 complete courses covering: Data workflows and preparation, Computer Vision fundamentals and advanced techniques, and AI-powered development practices. 21+ sessions with hands-on practical exercises.
Résultats d'Apprentissage
Master data science workflows, build production-ready computer vision applications, and effectively leverage AI assistants in your development workflow.