NLP-Kurse können Ihnen helfen zu verstehen, wie Texte verarbeitet, analysiert und modelliert werden. Sie können Fähigkeiten in Tokenisierung, Klassifikation, Sprachmodellen und Evaluationsmethoden aufbauen. Viele Kurse stellen Bibliotheken, Tools und strukturierte Beispiele vor.
Die im gesamten Kurs, sowohl für Anweisungen als auch Bewertungen, verwendete Sprache.

Kompetenzen, die Sie erwerben: Responsible AI, AI Personalization, Data Ethics, AI Integrations, Computer Vision, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Methods, Natural Language Processing, Web Development, Web Design, Web Applications, AI literacy, Model Training, User Interface and User Experience (UI/UX) Design, Model Evaluation
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: PyTorch (Machine Learning Library), Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Generative AI, Model Optimization, Deep Learning, Generative Model Architectures, Computer Vision, Artificial Neural Networks, Generative Adversarial Networks (GANs), Model Training, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Autoencoders, Network Architecture, Model Evaluation, Debugging
Mittel · Kurs · 1–3 Monate
Stanford University
Kompetenzen, die Sie erwerben: Bayesian Network, Applied Machine Learning, Decision Intelligence, Bayesian Statistics, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Machine Learning Methods, Markov Model, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization, Sampling (Statistics)
Fortgeschritten · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Supervised Learning, Model Optimization, PyTorch (Machine Learning Library), Fine-tuning, Generative Model Architectures, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Generative AI, Deep Learning, Model Training, Applied Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Autoencoders, Machine Learning Methods, Machine Learning Software, Machine Learning, MLOps (Machine Learning Operations), Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML)
Mittel · Spezialisierung · 3–6 Monate

University of California, Davis
Kompetenzen, die Sie erwerben: Network Analysis, Social Network Analysis, Data Wrangling, Natural Language Processing, Web Scraping, Data Cleansing, Social Sciences, Data Ethics, Databases, Artificial Intelligence, Research, Social Media Analytics, Data Store, Simulations, Text Mining, Big Data, Applied Machine Learning, Systems Thinking, Data Science, Agentic systems
Anfänger · Spezialisierung · 3–6 Monate

Lund University
Kompetenzen, die Sie erwerben: Large Language Modeling, Precision Medicine, Artificial Intelligence, Mental Health Therapies, Patient Evaluation, Mental Health Diseases and Disorders, Risking, Ethical Standards And Conduct, Law, Regulation, and Compliance, Generative AI, Health Technology, Machine Learning, Diagnostic Tests, AI Personalization, Regulation and Legal Compliance, Patient-centered Care, Human Centered Design, Mental and Behavioral Health, Mental Health, Data Security
Mittel · Spezialisierung · 1–3 Monate
DeepLearning.AI
Kompetenzen, die Sie erwerben: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Fine-tuning, Deep Learning, Keras (Neural Network Library), Model Training, Model Optimization, Applied Machine Learning, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics)
Mittel · Spezialisierung · 3–6 Monate
Stanford University
Kompetenzen, die Sie erwerben: Bayesian Network, Decision Intelligence, Bayesian Statistics, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Probability & Statistics, Network Analysis, Dependency Analysis
Fortgeschritten · Kurs · 1–3 Monate

The University of Edinburgh
Kompetenzen, die Sie erwerben: Precision Medicine, Bioinformatics, Biostatistics, Image Analysis, Medical Imaging, Process Modeling, Data Science, Applied Machine Learning, Data Ethics, Health Informatics, Machine Learning Methods, Statistical Modeling, Network Model, Statistical Methods, Data Analysis, Machine Learning, Natural Language Processing, Probability & Statistics, Clinical Documentation, Python Programming
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Natural Language Processing, Microsoft Azure, Computer Vision, No-Code Development, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Predictive Modeling, Artificial Intelligence, AI literacy, Responsible AI
Anfänger · Kurs · 1–4 Wochen
DeepLearning.AI
Kompetenzen, die Sie erwerben: Disaster Recovery, Image Analysis, Data Ethics, Responsible AI, Emergency Response, Mitigation, Text Mining, Natural Language Processing, Artificial Intelligence, Applied Machine Learning, Computer Vision, Spatial Data Analysis, Model Evaluation
Anfänger · Kurs · 1–4 Wochen

DeepLearning.AI
Kompetenzen, die Sie erwerben: PyTorch (Machine Learning Library), Model Deployment, Hugging Face, Model Optimization, Fine-tuning, Convolutional Neural Networks, Transfer Learning, Data Quality, Generative AI, Data Manipulation, Deep Learning, Generative Model Architectures, Model Training, Image Analysis, MLOps (Machine Learning Operations), Large Language Modeling, Data Pipelines, Artificial Neural Networks, Computer Vision, Natural Language Processing
Mittel · Berufsbezogenes Zertifikat · 1–3 Monate