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.

University of Colorado Boulder
Kompetenzen, die Sie erwerben: Unsupervised Learning, Unstructured Data, Marketing Analytics, Text Mining, Deep Learning, Model Evaluation, Machine Learning, JSON, Data Processing, Natural Language Processing, Data Preprocessing, Model Training, Python Programming
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Prompt Engineering, Large Language Modeling, LLM Application, Retrieval-Augmented Generation, Fine-tuning, ChatGPT, Natural Language Processing, Generative AI Agents, OpenAI API, Model Deployment, Model Optimization, Embeddings, OpenAI, Generative Model Architectures, Multimodal Prompts, Generative AI, Cloud Deployment, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning
Mittel · Spezialisierung · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: Model Training, Model Evaluation, Tensorflow, Computer Vision, Machine Learning Methods, Development Environment, Image Analysis, Machine Learning, Deep Learning, Data Persistence, Artificial Neural Networks
★ 5 (7) · Anfänger · Projekt · Weniger als 2 Stunden

Kompetenzen, die Sie erwerben: Image Analysis, Convolutional Neural Networks, Model Evaluation, Applied Machine Learning, Deep Learning, Model Training, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Data Preprocessing, Data Processing, Performance Tuning, Regression Analysis, Network Architecture
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Model Optimization, Artificial Neural Networks, Model Training, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Applied Machine Learning, Transfer Learning, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, NumPy, Python Programming, Matplotlib, Data Visualization, Data Science
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Convolutional Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Artificial Neural Networks, Image Analysis, Fine-tuning, Model Optimization, Model Training, Computer Vision, Applied Machine Learning, Classification Algorithms, Network Architecture, Data Processing
★ 5 (13) · Gemischt · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Fine-tuning, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Tensorflow, Predictive Modeling, Model Optimization, Model Training, Interactive Data Visualization, Time Series Analysis and Forecasting, Model Evaluation
Fortgeschritten · Kurs · 1–3 Monate

DeepLearning.AI
Kompetenzen, die Sie erwerben: Recurrent Neural Networks (RNNs), Natural Language Processing, Deep Learning, Artificial Neural Networks, Algorithms
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Generative AI, Responsible AI, Large Language Modeling, Generative Model Architectures, Data Ethics, Model Training, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, AI Security, Machine Learning, AI powered creativity, Applied Machine Learning, Artificial Intelligence, Supervised Learning, AI literacy, LLM Application, Artificial Neural Networks, Unsupervised Learning, Deep Learning
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Artificial Neural Networks, Deep Learning, Model Training
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Fine-tuning, Tensorflow, Natural Language Processing, Network Architecture
Fortgeschritten · Kurs · 1–3 Monate
Kompetenzen, die Sie erwerben: LLM Application, Data Preprocessing, Large Language Modeling, Data Import/Export, Artificial Intelligence and Machine Learning (AI/ML), Data Integration, Applied Machine Learning, Data Capture, Data Quality, Exploratory Data Analysis, Natural Language Processing, Classification Algorithms, Data Management
★ 4.7 (10) · Mittel · Kurs · 1–3 Monate