
University of Colorado Boulder
Kompetenzen, die Sie erwerben: Image Analysis, Computer Vision, Autoencoders, Convolutional Neural Networks, Vision Transformer (ViT), Generative Adversarial Networks (GANs), Recurrent Neural Networks (RNNs), Deep Learning, Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Visualization (Computer Graphics), Machine Learning Methods, Model Deployment, Embeddings, Artificial Intelligence, Data Ethics, Data Processing, Applied Machine Learning, Linear Algebra
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Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Model Evaluation, Model Optimization, Transfer Learning, PyTorch (Machine Learning Library), Fine-tuning, Model Deployment, Data Preprocessing, Technical Communication, MLOps (Machine Learning Operations), Model Training, Image Analysis, Computer Vision, AI Workflows, Verification And Validation, Tensorflow, Dataflow, Image Quality, Application Deployment, Deep Learning, Process Optimization
Mittel · Berufsbezogenes Zertifikat · 3–6 Monate

Kompetenzen, die Sie erwerben: Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Model Optimization, Artificial Neural Networks, Model Training, Machine Learning Methods, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, NumPy, Python Programming, Matplotlib, Data Visualization, Data Science
Anfänger · Kurs · 1–4 Wochen

MathWorks
Kompetenzen, die Sie erwerben: Computer Vision, Model Evaluation, Image Analysis, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Transfer Learning, Model Training, Fine-tuning, Deep Learning, Machine Learning Methods, Image Quality, Generative AI, Data Preprocessing, Artificial Neural Networks, Matlab, Applied Machine Learning, Machine Learning, Classification Algorithms, Software Visualization
Anfänger · Berufsbezogenes Zertifikat · 3–6 Monate

Columbia University
Kompetenzen, die Sie erwerben: Schätzung, Dimensionalitätsreduktion, Bildqualität, Graphentheorie, Algorithmen für maschinelles Lernen, Bildanalyse, Visualisierung (Computergrafik), Computer Vision, Künstliche neuronale Netze, 3D-Modellierung, Medizinische Bildgebung, Algorithmen, Mathematische Modellierung, Fotografie, Computergrafik, Unüberwachtes Lernen, Virtuelle Realität, Elektronische Komponenten, Automatisierungstechnik, Farbenlehre
Anfänger · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Modell Ausbildung, Datenvorverarbeitung, Maschinelles Lernen, Transfer Learning, Überwachtes Lernen, Algorithmen für maschinelles Lernen, Algorithmen, Computer Vision, Bildanalyse, Bewertung des Modells, Vorverarbeitung von Daten, Matlab, Klassifizierungsalgorithmen, Lernen übertragen, Tiefes Lernen, Erkennung von Anomalien, Geografische Informationen und Technologie, Methoden des maschinellen Lernens, Modellevaluation, Optimierung des Verkehrsflusses
Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Model Optimization, Image Analysis, Transfer Learning, Fine-tuning, Multimodal Prompts, Model Evaluation, Technical Documentation, Data Preprocessing, Debugging, Computer Vision, PyTorch (Machine Learning Library), Feature Engineering, Tensorflow, Model Training, Embeddings, Systems Design, Ethical Standards And Conduct, Large Language Modeling, Root Cause Analysis, Deep Learning
Mittel · Spezialisierung · 3–6 Monate

Coursera
Kompetenzen, die Sie erwerben: Model Training, Photo Editing, Post-Production
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Computer Vision, Image Analysis, Program Development, Data Science, Visualization (Computer Graphics), Code Reusability, Real Time Data, Python Programming, Development Environment, Model Training, Classification Algorithms, File I/O, System Design and Implementation, Data Preprocessing, Data Validation, Software Installation
Anfänger · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Model Evaluation, Model Training, Image Analysis, Model Optimization, Computer Vision, Model Deployment, Image Quality, MLOps (Machine Learning Operations), Data Analysis, Deep Learning, Exploratory Data Analysis, Failure Analysis, Data Preprocessing, Workflow Management, AI Workflows, Data Transformation, Experimentation, Performance Analysis, Data Manipulation, Performance Metric
Mittel · Kurs · 1–3 Monate

MathWorks
Kompetenzen, die Sie erwerben: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Model Training, Fine-tuning, Deep Learning, Generative AI, Artificial Neural Networks, Applied Machine Learning, Data Preprocessing, Matlab, Software Visualization, Classification Algorithms, Data Cleansing, Model Optimization, Predictive Modeling
Anfänger · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Model Optimization, Fine-tuning, Model Deployment, Data Preprocessing, Model Training, Model Evaluation, Technical Communication, Computer Vision, Image Analysis, Application Deployment, Technical Documentation, Technical Writing, Professional Development, Professional Networking, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Storytelling
Mittel · Kurs · 1–4 Wochen