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: Data Preprocessing, Embeddings, Text Mining, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Development Environment, Software Installation
Mittel · Kurs · 1–3 Monate

Universidad Austral
Kompetenzen, die Sie erwerben: Natural Language Processing, Machine Learning Algorithms, Artificial Neural Networks, Machine Learning Methods, Tensorflow, Applied Machine Learning, Deep Learning, Model Training, Scikit Learn (Machine Learning Library), Python Programming, Jupyter, Machine Learning, Algorithms, Network Architecture
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Hugging Face, Deep Learning, Large Language Modeling, Transfer Learning, Convolutional Neural Networks, Artificial Neural Networks, Encryption, Python Programming, Cryptography, Fine-tuning, Machine Learning Methods, Text Mining, Classification Algorithms, Applied Machine Learning, Probability Distribution, Machine Learning Algorithms, Model Training
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Model Evaluation, Dimensionality Reduction, Classification Algorithms, Text Mining, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Supervised Learning, Unsupervised Learning, Python Programming, Data Mining, Bayesian Statistics
Mittel · Kurs · 1–3 Monate

University of Colorado Boulder
Kompetenzen, die Sie erwerben: Natural Language Processing, Model Evaluation, Model Optimization, Embeddings, Text Mining, Logistic Regression, Model Training, Statistical Modeling, Machine Learning Methods, Markov Model, Classification Algorithms, Data Preprocessing, Supervised Learning
Auf einen Abschluss hinarbeiten
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Natural Language Processing, Model Optimization, Deep Learning, PyTorch (Machine Learning Library), Large Language Modeling, Fine-tuning, Keras (Neural Network Library), Artificial Neural Networks, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Tensorflow, Artificial Intelligence, Machine Learning Methods, Computer Vision, Model Training
Fortgeschritten · Kurs · 1–3 Monate

Northeastern University
Kompetenzen, die Sie erwerben: Model Training, Natural Language Processing, Embeddings, Model Optimization, Data Ethics, Responsible AI, Deep Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Machine Learning, Artificial Intelligence, Classification Algorithms
Gemischt · Kurs · 1–4 Wochen

DeepLearning.AI
Kompetenzen, die Sie erwerben: Natural Language Processing, Markov Model, Embeddings, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Algorithms, Data Cleansing, Probability & Statistics
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Fine-tuning, Model Evaluation, Context Engineering, LLM Application, Token Optimization, Large Language Modeling, Hugging Face, Transfer Learning, Model Optimization, Model Training, Context Management
Anfänger · Kurs · 1–3 Monate

DeepLearning.AI
Kompetenzen, die Sie erwerben: Tensorflow, Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Generative AI, Artificial Neural Networks, Text Mining, Model Training, Applied Machine Learning, Data Preprocessing, Machine Learning, Data Processing
Mittel · Kurs · 1–4 Wochen

University of Colorado Boulder
Kompetenzen, die Sie erwerben: Large Language Modeling, Model Optimization, Recurrent Neural Networks (RNNs), Natural Language Processing, Prompt Engineering, Model Training, LLM Application, Artificial Neural Networks, Transfer Learning, Deep Learning, Embeddings, Fine-tuning, Generative AI, Artificial Intelligence
Auf einen Abschluss hinarbeiten
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Natural Language Processing, Data Ethics, Responsible AI, Text Mining, Large Language Modeling, Model Evaluation, Embeddings, Data Preprocessing, Fine-tuning, Artificial Intelligence and Machine Learning (AI/ML), Time Series Analysis and Forecasting, Data Analysis, Data Cleansing, Data Processing, Classification Algorithms, Applied Machine Learning, Real Time Data, Deep Learning, Unified Modeling Language, Machine Learning Algorithms
Mittel · Kurs · 1–4 Wochen