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: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Natural Language Processing, Data Preprocessing, Artificial Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, Computer Vision, Jupyter, Predictive Modeling, Machine Learning, Model Evaluation, Data Transformation
Gemischt · Kurs · 1–3 Monate

Northeastern University
Kompetenzen, die Sie erwerben: Generative AI, Transfer Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Applied Machine Learning, Small Data, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning Methods, Computer Graphics, Machine Learning, Artificial Neural Networks, Image Analysis, Machine Learning Algorithms, Data Synthesis, Simulation and Simulation Software, Computer Vision, Simulations, 3D Modeling
Gemischt · Kurs · 1–3 Monate

Google Cloud
Kompetenzen, die Sie erwerben: Image Analysis, Convolutional Neural Networks, Deep Learning, Computer Vision, Model Evaluation, Recurrent Neural Networks (RNNs)
Fortgeschritten · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Matplotlib, Computervision, Modellevaluation, Transfer Learning, Deep Learning, Visualisierung (Computergrafik), Faltungsneuronale Netzwerke, Datenvorverarbeitung, Jupyter, Tensorflow, Bildanalyse, Angewandtes maschinelles Lernen, Keras (Bibliothek für Neuronale Netze)
Gemischt · Kurs · 1–4 Wochen
University of Colorado Boulder
Kompetenzen, die Sie erwerben: Computer Vision, Power Electronics, Convolutional Neural Networks, Display Devices, Control Systems, Image Analysis, Computer Displays, Tensorflow, Electronic Systems, Deep Learning, Systems Design, Debugging, Artificial Neural Networks, Electrical Engineering, USB, Semiconductors, Technical Design, electromagnetics, Electrical Systems, Computer Programming Tools
Credits angeboten
Abschlusszertifikat · 6–12 Monate

Universidad de los Andes
Kompetenzen, die Sie erwerben: Real-Time Operating Systems, Semantic Web, Supervised Learning, LangChain, Unsupervised Learning, Reinforcement Learning, Cloud-Native Computing, Computer Vision, Natural Language Processing, Classification Algorithms, Site Reliability Engineering, Biomedical Engineering, Artificial Intelligence, Project Risk Management, Generative AI, Model Deployment, Probability & Statistics, Control Systems, Data Ethics, Generative Adversarial Networks (GANs)
Erwerben Sie ein Zertifikat
Abschluss · 1–4 Jahre

Universidad de los Andes
Kompetenzen, die Sie erwerben: Supervised Learning, Unsupervised Learning, Dimensionality Reduction, Classification Algorithms, Anomaly Detection, Artificial Intelligence, Machine Learning, Data Ethics, Regression Analysis, Probability & Statistics, Responsible AI, Embedded Systems, Natural Language Processing, Linear Algebra, Computer Vision, Autoencoders, Image Analysis, Model Evaluation, Applied Machine Learning, Probability
Credits angeboten
MasterTrack · 6–12 Monate
Universidad de los Andes
Kompetenzen, die Sie erwerben: Social Network Analysis, Systems Thinking, Reinforcement Learning, Data Storytelling, Unsupervised Learning, Deep Learning, Computer Vision, Predictive Modeling, MLOps (Machine Learning Operations), Time Series Analysis and Forecasting, Marketing Analytics, Data-Driven Decision-Making, Logistic Regression, Cash Flows, Business Analysis, Dashboard, Pandas (Python Package), Simulations, Natural Language Processing, Operations Research
Erwerben Sie ein Zertifikat
Abschluss · 1–4 Jahre