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), Transfer Learning, Model Optimization, Tensorflow, Artificial Neural Networks, Embeddings, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Classification Algorithms, Convolutional Neural Networks, Natural Language Processing, Computer Vision, Model Training, Forecasting, Machine Learning, Predictive Modeling, NumPy, Regression Analysis, Data Preprocessing
★ 4.7 (6) · Mittel · Spezialisierung · 1–3 Monate

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, Generative Model Architectures, Model Training, Embeddings
★ 4.2 (6) · Mittel · Spezialisierung · 1–4 Wochen

Kompetenzen, die Sie erwerben: Convolutional Neural Networks, Model Optimization, Model Evaluation, Keras (Neural Network Library), Deep Learning, Computer Vision, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Serverless Computing, API Gateway, Image Analysis, Cloud-Based Integration, Amazon CloudWatch, Extensible Markup Language (XML), JSON, Computer Vision, Cloud Deployment, Restful API, API Design, Amazon Web Services, Event-Driven Programming, Amazon S3, Microservices, Cloud Development, AWS CloudFormation, Extensible Languages and XML, Cloud-Native Computing, Artificial Intelligence and Machine Learning (AI/ML)
★ 4.7 (15) · Anfänger · Spezialisierung · 1–3 Monate

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

Board Infinity
Kompetenzen, die Sie erwerben: Model Deployment, Generative AI, Large Language Modeling, Generative Model Architectures, PyTorch (Machine Learning Library), Fine-tuning, Model Optimization, Deep Learning, MLOps (Machine Learning Operations), Cloud Deployment, Vision Transformer (ViT), LLM Application, Hugging Face, Convolutional Neural Networks, Containerization, Model Training, Docker (Software), Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision
Mittel · Spezialisierung · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Evaluation, Model Training, Model Optimization, Configuration Management, Image Analysis, Debugging, Data Presentation, Benchmarking, Experimentation, Computer Vision, Algorithms, Data Visualization, Deep Learning, Performance Tuning, Tensorflow, Failure Mode And Effects Analysis, Root Cause Analysis, Cost Management, Machine Learning
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: KI-Orchestrierung, Künstliche Intelligenz, AI-Integrationen, Computer Vision, Schnelles Engineering, AI-Arbeitsabläufe, Microsoft Azure, Bildanalyse, Multimodale Aufforderungen, Anwendungsdesign, Generative KI, Software-Architektur
Mittel · Kurs · 1–4 Wochen

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, Machine Learning Methods, PyTorch (Machine Learning Library), AI Enablement, Artificial Intelligence
Fortgeschritten · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, Generative AI, Microsoft Azure, Artificial Intelligence, OpenAI, Natural Language Processing, Computer Vision, AI Integrations, Agentic systems, Application Deployment
Mittel · Kurs · 1–3 Monate
MathWorks
Kompetenzen, die Sie erwerben: Responsible AI, Anomaly Detection, Image Analysis, Computer Vision, Artificial Intelligence, AI Integrations, AI literacy, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Simulation and Simulation Software, Machine Learning Methods, Predictive Modeling, Reinforcement Learning
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Robotics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Convolutional Neural Networks, AI Integrations, Natural Language Processing, Artificial Neural Networks, Reinforcement Learning, Machine Learning, Python Programming, Automation
Mittel · Kurs · 1–3 Monate