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.

Microsoft
Kompetenzen, die Sie erwerben: Unsupervised Learning, Fine-tuning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Generative Model Architectures, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Infrastructure Architecture, LLM Application, Responsible AI, Data Infrastructure, Data Preprocessing, Model Optimization
Mittel · Berufsbezogenes Zertifikat · 3–6 Monate

Kompetenzen, die Sie erwerben: Natural Language Processing, Text Mining, Markov Model, Data Preprocessing, Python Programming, Applied Machine Learning, Classification Algorithms, Algorithms, Probability & Statistics, Dependency Analysis
Mittel · Kurs · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: Model Evaluation, Model Training, Exploratory Data Analysis, Data Cleansing, Text Mining, Scikit Learn (Machine Learning Library), Probability & Statistics, Natural Language Processing, Data Preprocessing, Social Media Analytics, Unstructured Data, Classification Algorithms, Python Programming, Applied Machine Learning, Machine Learning, Automation
Anfänger · angeleitetes Projekt · Weniger als 2 Stunden

Kompetenzen, die Sie erwerben: Unsupervised Learning, Exploratory Data Analysis, Autoencoders, Feature Engineering, Dimensionality Reduction, Supervised Learning, Generative AI, Classification Algorithms, Regression Analysis, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Science, Machine Learning, Python Programming
Auf einen Abschluss hinarbeiten
Mittel · Berufsbezogenes Zertifikat · 3–6 Monate

Kompetenzen, die Sie erwerben: Natural Language Processing, Recurrent Neural Networks (RNNs), Generative AI, Large Language Modeling, Token Optimization, Embeddings, Generative Model Architectures, Data Preprocessing, Data Pipelines, Artificial Neural Networks, Unstructured Data, Machine Learning Methods, Machine Learning, Model Evaluation
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, Generative AI, PyTorch (Machine Learning Library), Prompt Patterns, Generative AI Agents, Fine-tuning, Vector Databases, LLM Application, Generative Model Architectures, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Tool Calling, Hugging Face, Model Optimization, Reinforcement Learning, Transfer Learning, Data Pipelines
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Natural Language Processing, Supervised Learning, Embeddings, Dimensionality Reduction, Machine Learning Methods, Text Mining, Statistical Machine Learning, Classification Algorithms, Logistic Regression, Feature Engineering
Mittel · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Fine-tuning, Natural Language Processing, Model Training, Data Wrangling, Data Pipelines
Mittel · 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

Board Infinity
Kompetenzen, die Sie erwerben: Model Evaluation, Fine-tuning, Model Optimization, Hugging Face, Model Deployment, Model Training, Transfer Learning, Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Performance Tuning, LLM Application, Generative Model Architectures, Data Preprocessing, Data Pipelines, Version Control, Git (Version Control System)
Fortgeschritten · Kurs · 1–4 Wochen

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

Kompetenzen, die Sie erwerben: Transfer Learning, Fine-tuning, Tensorflow, Natural Language Processing, Keras (Neural Network Library), Embeddings, Model Training, Deep Learning, Classification Algorithms, Model Evaluation, Machine Learning, Software Visualization
Mittel · angeleitetes Projekt · Weniger als 2 Stunden