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: PyTorch (Machine Learning Library), Model Evaluation, Deep Learning, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Fine-tuning, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Artificial Intelligence, Model Optimization, Data Preprocessing, Regression Analysis, Software Installation, System Configuration
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Data Visualization, Plot (Graphics), Exploratory Data Analysis, Text Mining, Model Evaluation, Model Training, Classification Algorithms, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Data Preprocessing, Natural Language Processing, Predictive Modeling, Machine Learning, Unstructured Data, Data Analysis, Machine Learning Algorithms, Python Programming, Computer Science
Mittel · angeleitetes Projekt · Weniger als 2 Stunden

O.P. Jindal Global University
Kompetenzen, die Sie erwerben: Computational Logic, Machine Learning Algorithms, Classification Algorithms, Natural Language Processing, Artificial Intelligence, Agentic systems, AI literacy, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Decision Support Systems, Bayesian Network, Complex Problem Solving, Probability & Statistics, Algorithms
Auf einen Abschluss hinarbeiten
Gemischt · Kurs · 3–6 Monate

Johns Hopkins University
Kompetenzen, die Sie erwerben: Responsible AI, Autoencoders, Model Training, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Model Optimization, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Generative Model Architectures, Debugging, Machine Learning Methods, Artificial Intelligence, Image Analysis, Unsupervised Learning
Mittel · Spezialisierung · 3–6 Monate

L&T EduTech
Kompetenzen, die Sie erwerben: Machine Learning Algorithms, Computer Vision, Applied Machine Learning, Image Analysis, Civil Engineering, Classification Algorithms, AI Enablement, Artificial Intelligence, Machine Learning Software, Electrical Substation, Machine Learning, AI literacy, Tensorflow, Construction Engineering, Convolutional Neural Networks, Deep Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Electric Power Systems, Electrical Engineering
Mittel · Kurs · 1–3 Monate

Universidad Nacional de Colombia
Kompetenzen, die Sie erwerben: Electrical Power, Electric Power Systems, Energy and Utilities, Electrical Systems, Time Series Analysis and Forecasting, Data-Driven Decision-Making, Data Mining, Data Science, Statistical Methods, Python Programming, Data Processing, Applied Machine Learning, Computer Programming, Data Preprocessing, Data Visualization Software, Advanced Analytics, Classification And Regression Tree (CART), Model Evaluation, Artificial Neural Networks
Mittel · Kurs · 1–3 Monate

LearnQuest
Kompetenzen, die Sie erwerben: Data Preprocessing, Applied Machine Learning, Data Processing, Dimensionality Reduction, Data Cleansing, Machine Learning Algorithms, Data Transformation, Machine Learning Methods, Artificial Neural Networks, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Unsupervised Learning, Supervised Learning, Classification Algorithms, Predictive Modeling, Python Programming
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Embeddings, PyTorch (Machine Learning Library), Feature Engineering, Artificial Neural Networks, Image Analysis, Deep Learning, Convolutional Neural Networks, Network Model, Model Training, Computer Vision
Fortgeschritten · angeleitetes Projekt · Weniger als 2 Stunden

Duke University
Kompetenzen, die Sie erwerben: LLM Application, Hugging Face, Large Language Modeling, Fine-tuning, Natural Language Processing, Model Deployment, Open Source Technology, Containerization, C (Programming Language), Machine Learning, Cross Platform Development
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Keras (Neural Network Library), Model Optimization, Artificial Neural Networks, Applied Machine Learning, Model Training, Deep Learning, Python Programming, Performance Tuning, Machine Learning
Mittel · angeleitetes Projekt · Weniger als 2 Stunden

Kompetenzen, die Sie erwerben: Regression Analysis, Predictive Modeling, Exploratory Data Analysis, Model Evaluation, Model Training, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning Methods, Statistical Methods, Applied Machine Learning, Machine Learning, Data Preprocessing, Decision Tree Learning, Deep Learning, Data Analysis, Test Data, Artificial Neural Networks, Data Import/Export, Python Programming
Anfänger · angeleitetes Projekt · Weniger als 2 Stunden

Kompetenzen, die Sie erwerben: Artificial Intelligence and Machine Learning (AI/ML), Model Training, Artificial Intelligence, Model Evaluation, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Deep Learning, Supervised Learning, Data Ethics, Large Language Modeling, Responsible AI, AI literacy, Data Science
Anfänger · Kurs · 1–3 Monate