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.

O.P. Jindal Global University
Kompetenzen, die Sie erwerben: Model Evaluation, Supervised Learning, Model Training, Scikit Learn (Machine Learning Library), Tensorflow, Model Deployment, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Machine Learning Algorithms, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Model Optimization, Embeddings, Pandas (Python Package), Natural Language Processing
★ 3.9 (9) · Anfänger · Kurs · 1–3 Monate

DeepLearning.AI
Kompetenzen, die Sie erwerben: Retrieval-Augmented Generation, LangChain, AI Orchestration, SQL, LLM Application, Query Languages, Generative AI Agents, OpenAI API, Microsoft Azure, Tool Calling, OpenAI, Natural Language Processing, Large Language Modeling
★ 4.5 (54) · Anfänger · Projekt · Weniger als 2 Stunden

Copenhagen Business School
Kompetenzen, die Sie erwerben: Artificial Intelligence, Large Language Modeling, AI literacy, Natural Language Processing, Theoretical Computer Science, Statistical Machine Learning, Liberal Arts, Artificial Neural Networks, Grammar, Computational Thinking, Social Impact
★ 4.7 (25) · Anfänger · Kurs · 1–4 Wochen

Dartmouth College
Kompetenzen, die Sie erwerben: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Convolutional Neural Networks, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Statistical Inference
Mittel · Spezialisierung · 3–6 Monate

Arizona State University
Kompetenzen, die Sie erwerben: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Generative AI, Model Training, Deep Learning, Image Analysis, Machine Learning Methods, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Generative Model Architectures, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Computer Programming, Regression Analysis
★ 3.6 (25) · Anfänger · Kurs · 1–4 Wochen

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
★ 4.5 (24) · Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Reinforcement Learning, Deep Learning, Model Training, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Tensorflow, Machine Learning, Quantum computing, Machine Learning Algorithms, Artificial Intelligence, Model Optimization, Artificial Neural Networks, Algorithms, Python Programming
Mittel · Kurs · 1–3 Monate

SkillsBooster Academy
Kompetenzen, die Sie erwerben: Prompt Engineering, Prompt Patterns, Responsible AI, Productivity, AI Workflows, Generative AI, Artificial Intelligence, AI Security, AI Personalization, Creative Problem-Solving, Artificial Intelligence and Machine Learning (AI/ML), Innovation, Critical Thinking and Problem Solving, Complex Problem Solving, Automation, Critical Thinking, digital literacy, Digital Assets, Information Technology, Natural Language Processing
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Artificial Intelligence and Machine Learning (AI/ML), NumPy, Applied Machine Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Python Programming, Artificial Neural Networks, Data Manipulation, Programming Principles, Tensorflow, Machine Learning Methods, Regression Analysis, Machine Learning Software, Model Training, Computer Programming
Anfänger · Kurs · 3–6 Monate

Kompetenzen, die Sie erwerben: Supervised Learning, Model Optimization, Feature Engineering, Applied Machine Learning, Object Oriented Programming (OOP), Unsupervised Learning, Model Evaluation, Statistical Machine Learning, Recurrent Neural Networks (RNNs), Object Oriented Design, Convolutional Neural Networks, Machine Learning Methods, Plot (Graphics), Transfer Learning, Machine Learning Algorithms, Data Visualization, Natural Language Processing, Seaborn, Python Programming, Deep Learning
Anfänger · Spezialisierung · 3–6 Monate

University of Illinois Urbana-Champaign
Kompetenzen, die Sie erwerben: Deep Learning, Convolutional Neural Networks, Autoencoders, Recurrent Neural Networks (RNNs), Image Analysis, Embeddings, Model Deployment, Applied Machine Learning, Artificial Neural Networks, Health Informatics, Machine Learning, Medical Science and Research, Unsupervised Learning, Dimensionality Reduction
★ 3.9 (15) · Fortgeschritten · Kurs · 1–4 Wochen
University of Glasgow
Kompetenzen, die Sie erwerben: Autoencoders, Deep Learning, Model Evaluation, Recurrent Neural Networks (RNNs), Healthcare 5.0, Machine Learning, Applied Machine Learning, Responsible AI, Convolutional Neural Networks, Software Visualization, Artificial Neural Networks
★ 4.6 (15) · Mittel · Kurs · 1–4 Wochen