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: Recurrent Neural Networks (RNNs), Fine-tuning, Transfer Learning, Large Language Modeling, Natural Language Processing, Generative AI, Deep Learning, Artificial Neural Networks, Generative Model Architectures, Model Training, Computer Vision
Mittel · Kurs · 1–4 Wochen

Pearson
Kompetenzen, die Sie erwerben: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Generative Model Architectures, Multimodal Prompts, Fine-tuning, Image Analysis, Model Evaluation, Autoencoders, Hugging Face, Embeddings, Computer Vision, Convolutional Neural Networks, Artificial Neural Networks, LLM Application, Natural Language Processing, Deep Learning, Prompt Engineering, Model Training, Image Quality
Mittel · Spezialisierung · 1–4 Wochen

DeepLearning.AI
Kompetenzen, die Sie erwerben: Deep Learning, Artificial Neural Networks, Artificial Intelligence, NumPy, Computer Vision, Model Optimization, Model Training, Supervised Learning
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Training, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Artificial Intelligence, Image Analysis, Machine Learning Methods, Machine Learning Algorithms, AI powered creativity, AWS SageMaker, Responsible AI, Applied Machine Learning, Model Optimization, Natural Language Processing, Generative AI, Machine Learning, Prompt Engineering, AI literacy, Cloud Deployment, Customer experience improvement, AI Integrations
Anfänger · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: NumPy, Pandas (Python Package), File I/O, Image Analysis, Data Manipulation, Mobile Development Tools, Matplotlib, Computer Vision, Full-Stack Web Development, Data Analysis, Object Oriented Design, Python Programming, Android (Operating System), Application Design, Programming Principles, Code Reusability, Scripting, File Management, Data Structures, User Interface (UI) Design
Anfänger · Spezialisierung · 3–6 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

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

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

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

Pearson
Kompetenzen, die Sie erwerben: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Transfer Learning, Natural Language Processing, Embeddings, Image Analysis, Deep Learning, Computer Vision, Artificial Neural Networks, Model Training, Time Series Analysis and Forecasting, Generative Model Architectures, Network Architecture
Mittel · Kurs · 1–4 Wochen

Johns Hopkins University
Kompetenzen, die Sie erwerben: Algorithmen, Computer Vision, Bildanalyse, Medizinische Bildgebung, Statistische Methoden, Klinische Studien, Bayessche Statistik, Präzisionsmedizin, Wahrscheinlichkeitsverteilung, Programm-Entwicklung, Datengestützte Entscheidungsfindung, Bioinformatik, Biostatistik, Daten-Strukturen, Datenwissenschaft, A/B-Tests, Magnetresonanztomographie, Statistische Hypothesenprüfung, Statistische Inferenz, Reinforcement Learning
Mittel · Kurs · 1–3 Monate

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, Fine-tuning
Anfänger · angeleitetes Projekt · Weniger als 2 Stunden