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.
DeepLearning.AI
Kompetenzen, die Sie erwerben: Tensorflow, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Computer Vision, Model Evaluation, Transfer Learning, Image Analysis, Keras (Neural Network Library), Natural Language Processing, Model Training, Time Series Analysis and Forecasting, Deep Learning, Embeddings, Fine-tuning, Artificial Neural Networks, Applied Machine Learning, Classification Algorithms, Predictive Modeling, Forecasting, Machine Learning
Mittel · Berufsbezogenes Zertifikat · 3–6 Monate

DeepLearning.AI
Kompetenzen, die Sie erwerben: Model Optimization, Tensorflow, Model Training, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Machine Learning Methods, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Verification And Validation, Debugging
Mittel · Kurs · 1–4 Wochen

DeepLearning.AI
Kompetenzen, die Sie erwerben: Tensorflow, Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Model Training, Applied Machine Learning, Artificial Intelligence, Data Preprocessing, Machine Learning
Mittel · Kurs · 1–4 Wochen

DeepLearning.AI
Kompetenzen, die Sie erwerben: Model Training, Machine Learning Algorithms, Transfer Learning, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Responsible AI, Supervised Learning, Deep Learning, Classification Algorithms, Random Forest Algorithm, Model Optimization, Artificial Neural Networks, Logistic Regression, Regression Analysis
Anfänger · Kurs · 1–4 Wochen

DeepLearning.AI
Kompetenzen, die Sie erwerben: Convolutional Neural Networks, Computer Vision, Image Analysis, Transfer Learning, Deep Learning, Fine-tuning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Data Preprocessing, Embeddings, Feature Engineering, Model Training, Network Architecture
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Responsible AI, Anomaly Detection, Image Analysis, Text Mining, Unsupervised Learning, Microsoft Azure, Data Ethics, Natural Language Processing, AI Workflows, Computer Vision, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Model Training, Regression Analysis, Artificial Intelligence, No-Code Development, AI literacy, Predictive Modeling, Machine Learning
Anfänger · Spezialisierung · 3–6 Monate

DeepLearning.AI
Kompetenzen, die Sie erwerben: Unsupervised Learning, Applied Machine Learning, Responsible AI, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction
Anfänger · Kurs · 1–4 Wochen

Imperial College London
Kompetenzen, die Sie erwerben: Dimensionality Reduction, Linear Algebra, Regression Analysis, NumPy, Calculus, Unsupervised Learning, Applied Mathematics, Statistical Methods, Descriptive Statistics, Model Optimization, Mathematical Software, Machine Learning Methods, Jupyter, Statistics, Numerical Analysis, Applied Machine Learning, Geometry, Artificial Neural Networks, Data Science, Data Manipulation
Anfänger · Spezialisierung · 3–6 Monate

University of Michigan
Kompetenzen, die Sie erwerben: Stored Procedure, NoSQL, Database Design, Database Architecture and Administration, SQL, Database Systems, Relational Databases, Cloud Applications, Database Theory, PostgreSQL, Database Management Systems, Data Store, Databases, Database Development, Data Modeling, JSON, Database Management, Text Mining, Query Languages, Natural Language Processing
Mittel · Spezialisierung · 3–6 Monate
University of Michigan
Kompetenzen, die Sie erwerben: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning Methods, Machine Learning, Model Training, Model Optimization, Machine Learning Algorithms, Unsupervised Learning, Python Programming, Classification Algorithms, Artificial Neural Networks
Mittel · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: Model Deployment, Model Optimization, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Large Language Modeling, Reinforcement Learning, Model Training, Transfer Learning, Computer Vision, Keras (Neural Network Library), Systems Design, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Machine Learning
Fortgeschritten · Spezialisierung · 3–6 Monate

Lund University
Kompetenzen, die Sie erwerben: Responsible AI, Data Ethics, Risking, Healthcare Ethics, Ethical Standards And Conduct, Law, Regulation, and Compliance, Health Technology, Artificial Intelligence, Regulation and Legal Compliance, Patient-centered Care, Human Centered Design, Mental and Behavioral Health, Health Care Procedure and Regulation, Mental Health, Machine Learning, General Data Protection Regulation (GDPR), Data Security, Psychological Evaluations, Natural Language Processing, Large Language Modeling
Mittel · Kurs · 1–4 Wochen