Computer-Vision-Kurse können Ihnen helfen zu lernen, wie visuelle Daten verarbeitet, erkannt und interpretiert werden. Sie können Fähigkeiten in Bildanalyse, Objekterkennung, Modelltraining und Evaluationsmethoden aufbauen. Viele Kurse stellen Python-Bibliotheken, Frameworks und Tools vor, die das Entwickeln und Testen visueller Modelle unterstützen.

Kompetenzen, die Sie erwerben: Fine-tuning, Vision Transformer (ViT), Prompt Engineering, PyTorch (Machine Learning Library), Model Deployment, Transfer Learning, Hugging Face, Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Cloud Deployment, Computer Vision, Generative AI, Image Analysis, Generative Model Architectures, LLM Application, Application Deployment, Model Training, Embeddings, Data Preprocessing
Mittel · Spezialisierung · 1–4 Wochen

Institut Mines-Télécom
Kompetenzen, die Sie erwerben: Image Quality, Image Analysis, Computer Vision, Digital Signal Processing, Python Programming, Computer Programming, Medical Imaging, Mathematics and Mathematical Modeling, Algorithms, Computer Science
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Autoencoders, Model Optimization, Vision Transformer (ViT), Artificial Neural Networks, Model Deployment, Model Training, Deep Learning, Recurrent Neural Networks (RNNs), Embeddings, PyTorch (Machine Learning Library), Large Language Modeling, AI Enablement, Artificial Intelligence
Fortgeschritten · Spezialisierung · 1–3 Monate

Università di Napoli Federico II
Kompetenzen, die Sie erwerben: PyTorch (Machine Learning Library), Convolutional Neural Networks, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Transfer Learning, Keras (Neural Network Library), Jupyter, Data Manipulation, Machine Learning Methods, Applied Machine Learning, Scikit Learn (Machine Learning Library)
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Tensorflow, Computer Vision, Model Evaluation, Convolutional Neural Networks, Deep Learning, Predictive Modeling, Amazon Elastic Compute Cloud, Transfer Learning, Cloud Deployment, Model Training, Amazon Web Services, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Fine-tuning, Model Deployment, Application Deployment, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Optimization
Anfänger · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Control Systems, Computer Vision, Image Analysis, Robotics, Machine Controls, Automation, Embedded Software, Simulations, Simulation and Simulation Software, Systems Architecture, Virtual Environment, Predictive Modeling, Estimation
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Convolutional Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Artificial Neural Networks, Image Analysis, Fine-tuning, Model Optimization, Model Training, Computer Vision, Classification Algorithms, Data Preprocessing, Network Architecture, Data Processing
Gemischt · Kurs · 1–4 Wochen

Pearson
Kompetenzen, die Sie erwerben: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Model Optimization, Tensorflow, LLM Application, Transfer Learning, Computer Vision, Responsible AI, Generative Model Architectures, Model Training, Natural Language Processing, Embeddings, Generative AI, Artificial Neural Networks
Mittel · Spezialisierung · 1–4 Wochen

Alberta Machine Intelligence Institute
Kompetenzen, die Sie erwerben: Generative adversarische Netze (GANs), Digitale Signalverarbeitung, Autokodierer, KI-gestützte Kreativität, Datenverarbeitung, Verantwortungsvolle AI, Generative KI, Vision Transformer (ViT), Computer Vision, Modell Ausbildung, Musik, Faltungsneuronale Netze, Generative Modellarchitekturen
Gemischt · Kurs · 1–4 Wochen

DeepLearning.AI
Kompetenzen, die Sie erwerben: Convolutional Neural Networks, Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Transfer Learning, Network Architecture, Model Training, Classification Algorithms
Mittel · Kurs · 1–4 Wochen

DeepLearning.AI
Kompetenzen, die Sie erwerben: Convolutional Neural Networks, Computer Vision, Image Analysis, Keras (Neural Network Library), Artificial Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Applied Machine Learning, Fine-tuning, Classification Algorithms, Network Architecture, Embeddings, Model Training
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Deployment, Tensorflow, Model Evaluation, Data Preprocessing, Image Analysis, Model Training, Artificial Neural Networks, Convolutional Neural Networks, Model Optimization, Data Processing, Network Model, Applied Machine Learning, Machine Learning Methods, Computer Vision, Deep Learning
Anfänger · angeleitetes Projekt · Weniger als 2 Stunden