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.

Universidad de los Andes
Kompetenzen, die Sie erwerben: Artificial Intelligence, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Reinforcement Learning, Computer Vision, Agentic systems, Machine Learning Algorithms, Machine Learning, Semantic Web, AI literacy, Natural Language Processing, Embedded Systems, Responsible AI, Data Ethics, Supervised Learning, Applied Machine Learning, Embedded Software, Algorithms, Ethical Standards And Conduct
Anfänger · Kurs · 1–3 Monate

Imperial College London
Kompetenzen, die Sie erwerben: Tensorflow, Generative AI, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Model Training, Bayesian Network, Transfer Learning, Convolutional Neural Networks, Computer Programming, Model Optimization, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing
Mittel · Spezialisierung · 3–6 Monate

Johns Hopkins University
Kompetenzen, die Sie erwerben: Exploratory Data Analysis, Model Evaluation, Model Training, Predictive Modeling, Data Science, Analytical Skills, Data Analysis, Model Optimization, Data Presentation, Data Processing, Data Collection, Data Modeling, Data Cleansing, R Programming, Machine Learning, Natural Language Processing
Gemischt · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Model Optimization, Model Evaluation, Large Language Modeling, Data Preprocessing, Model Training, Fine-tuning, Data Cleansing, PyTorch (Machine Learning Library), Transfer Learning, Deep Learning, Natural Language Processing, Exploratory Data Analysis, Test Data, Machine Learning
Mittel · angeleitetes Projekt · Weniger als 2 Stunden

Google Cloud
Kompetenzen, die Sie erwerben: Reinforcement Learning, Google Cloud Platform, AI Personalization, Machine Learning, Applied Machine Learning, Unsupervised Learning, Artificial Neural Networks, Embeddings
Fortgeschritten · Kurs · 1–3 Monate

Google Cloud
Kompetenzen, die Sie erwerben: Model Optimization, Convolutional Neural Networks, Tensorflow, Model Training, Computer Vision, Image Analysis, Transfer Learning, Applied Machine Learning, Model Evaluation, Artificial Neural Networks, Fine-tuning, Deep Learning, Google Cloud Platform, Data Preprocessing, Classification Algorithms, Small Data, Cloud API
Fortgeschritten · Kurs · 1–3 Monate

Fractal Analytics
Kompetenzen, die Sie erwerben: Prompt Engineering, Responsible AI, Generative AI, Generative Model Architectures, Code Review, Data Ethics, AI Workflows, AI literacy, Artificial Intelligence, Object Oriented Programming (OOP), Risking, Machine Learning Methods, Artificial Neural Networks, Maintainability, Computer Programming, AI powered creativity, Debugging, Problem Solving, Critical Thinking, Data Analysis
Anfänger · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Model Evaluation, Keras (Neural Network Library), Model Training, Tensorflow, Image Analysis, Artificial Neural Networks, Applied Machine Learning, Network Model, Deep Learning, Computer Vision, Machine Learning, Network Architecture
Anfänger · angeleitetes Projekt · Weniger als 2 Stunden

University of Colorado Boulder
Kompetenzen, die Sie erwerben: Problem Solving, Agentic systems, Computational Thinking, Computer Vision, Game Theory, Image Analysis, Artificial Neural Networks, Statistical Modeling, Probability Distribution, Decision Intelligence, Behavioral Economics, Convolutional Neural Networks, Logical Reasoning, Algorithms, Human Development, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI literacy, Theoretical Computer Science, Psychology
Anfänger · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Feature Engineering, Generative AI, Anomaly Detection, Text Mining, Advanced Analytics, Predictive Modeling, Unstructured Data, AI Workflows, Data Analysis, Natural Language Processing, Predictive Analytics, Statistical Analysis, Data-Driven Decision-Making, Time Series Analysis and Forecasting, Forecasting, Model Evaluation, Data Quality
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Recurrent Neural Networks (RNNs), Exploratory Data Analysis, Deep Learning, Text Mining, Plot (Graphics), Artificial Neural Networks, Data Cleansing, Data Import/Export, Data Preprocessing, Natural Language Processing, Model Training, Python Programming, Machine Learning, Automation
Anfänger · angeleitetes Projekt · Weniger als 2 Stunden
Saïd Business School, University of Oxford
Kompetenzen, die Sie erwerben: Responsible AI, AI Enablement, Artificial Neural Networks, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), AI Product Strategy, AI literacy, Generative AI, Generative AI Agents, Machine Learning Methods, Deep Learning, Machine Learning, LLM Application, Convolutional Neural Networks, Supervised Learning, Fraud detection, Reinforcement Learning, Ethical Standards And Conduct, Unsupervised Learning
Anfänger · Kurs · 1–3 Monate