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: PyTorch (Machine Learning Library), Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Model Optimization, Deep Learning, Generative Model Architectures, Computer Vision, Artificial Neural Networks, Generative Adversarial Networks (GANs), Model Training, Autoencoders, Network Architecture, Debugging
Mittel · Kurs · 1–3 Monate

Whizlabs
Kompetenzen, die Sie erwerben: AI Personalization, Amazon Web Services, Image Analysis, Artificial Intelligence, Computer Vision, Natural Language Processing
Anfänger · Kurs · 1–4 Wochen

Real Madrid Graduate School Universidad Europea
Kompetenzen, die Sie erwerben: Real Time Data, LLM Application, Analytics, Computer Vision, Applied Machine Learning, Reinforcement Learning, Machine Learning Methods, Data Analysis, Dataflow, Data-Driven Decision-Making, Data Integration, Artificial Intelligence, Analysis, Automation, Data Presentation, Natural Language Processing, Supervised Learning, Innovation
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Training, Model Optimization, Applied Machine Learning, Model Evaluation, Convolutional Neural Networks, Machine Learning Methods, Scikit Learn (Machine Learning Library), AI Workflows, Computer Vision, Machine Learning, Continuous Monitoring, Python Programming, Big Data, Data Quality
Mittel · Kurs · 1–3 Monate

Institut Mines-Télécom
Kompetenzen, die Sie erwerben: Image Analysis, Computer Vision, Algorithms
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: LLM Application, OpenAI API, ChatGPT, Responsible AI, Retrieval-Augmented Generation, Large Language Modeling, Generative AI, Generative Model Architectures, Fine-tuning, Generative AI Agents, Natural Language Processing, AI Security, Embeddings, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Computer Vision, Data Preprocessing
Mittel · Kurs · 1–3 Monate

John Wiley & Sons
Kompetenzen, die Sie erwerben: Model Evaluation, Keras (Neural Network Library), Data Ethics, AI Personalization, Model Training, Convolutional Neural Networks, Model Optimization, Machine Learning, Applied Machine Learning, Feature Engineering, Natural Language Processing, Machine Learning Methods, Computer Vision, Supervised Learning, Data Preprocessing, Program Evaluation, Unsupervised Learning, Python Programming, Data Science, Algorithms
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Responsible AI, Data Ethics, Generative AI, Information Privacy, Artificial Intelligence, Amazon Web Services, AI Workflows, AI Personalization, Solution Design, Model Deployment, Natural Language Processing, AI Integrations, Managed Services, Image Analysis, Law, Regulation, and Compliance, Computer Vision, Governance
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Apple iOS, Apple Xcode, iOS Development, Swift Programming, Image Analysis, OpenAI API, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Natural Language Processing, Machine Learning Methods, Application Development, Applied Machine Learning, OpenAI, AI Integrations, Artificial Neural Networks, Embeddings, Tool Calling, Machine Learning, Model Training
Mittel · Kurs · 1–3 Monate

Dartmouth College
Kompetenzen, die Sie erwerben: Natural Language Processing, Digital Signal Processing, Field-Programmable Gate Array (FPGA), Technical Communication, Embedded Software, Embedded Systems, Machine Learning Methods, Distributed Computing, Deep Learning, Computer Vision, Microarchitecture, Generative Adversarial Networks (GANs), Recurrent Neural Networks (RNNs), Hardware Design, Machine Learning, Vision Transformer (ViT), Systems Architecture, Embeddings, Systems Analysis, Professional Development
Abschluss · 1–4 Jahre
University of Colorado Boulder
Kompetenzen, die Sie erwerben: Computer Vision, Power Electronics, Convolutional Neural Networks, Display Devices, Control Systems, Computer Displays, Tensorflow, Technical Communication, Deep Learning, Systems Design, Engineering Documentation, Artificial Neural Networks, Electrical Engineering, Semiconductors, Technical Documentation, USB, Machine Learning Methods, Model Training, Electronic Hardware, electromagnetics
Abschlusszertifikat · 6–12 Monate

Universidad de los Andes
Kompetenzen, die Sie erwerben: Supervised Learning, Unsupervised Learning, Classification Algorithms, Artificial Intelligence, Embedded Systems, Machine Learning, Regression Analysis, Probability & Statistics, Data Ethics, Applied Machine Learning, Image Analysis, Computer Vision, Responsible AI, Machine Learning Methods, Decision Tree Learning, Linear Algebra, Dimensionality Reduction, Machine Learning Algorithms, Natural Language Processing, Bayesian Statistics
MasterTrack · 6–12 Monate