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 Michigan
Kompetenzen, die Sie erwerben: ChatGPT, OpenAI, Large Language Modeling, AI literacy, Legal Risk, Natural Language Processing, Data Ethics, Responsible AI, Generative AI, Artificial Intelligence, Law, Regulation, and Compliance, Social Impact, Intellectual Property, Education and Training, Economics, Ethical Standards And Conduct
Gemischt · Kurs · 1–4 Wochen
Stanford University
Kompetenzen, die Sie erwerben: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Statistical Machine Learning, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms
Fortgeschritten · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Model Optimization, Convolutional Neural Networks, Model Deployment, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Model Training
Mittel · Berufsbezogenes Zertifikat · 3–6 Monate
Stanford University
Kompetenzen, die Sie erwerben: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Machine Learning Methods, Markov Model, Statistical Machine Learning, Machine Learning, Network Model, Unsupervised Learning, Model Training, Probability Distribution, Model Optimization, Statistical Methods, Probability & Statistics, Algorithms
Fortgeschritten · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Fine-tuning, Tensorflow, Keras (Neural Network Library), Model Training, Model Evaluation, Transfer Learning, Natural Language Processing, Data Preprocessing, Deep Learning, Data Pipelines
Mittel · angeleitetes Projekt · Weniger als 2 Stunden

Saïd Business School, University of Oxford
Kompetenzen, die Sie erwerben: Machine Learning Methods, Financial Services, Artificial Intelligence, Responsible AI, FinTech, Financial Data, Banking Services, Decision Intelligence, Financial Regulation, Banking, Fraud detection, Machine Learning, Data Ethics, Natural Language Processing, AI Personalization, Deep Learning, Credit Risk, Case Studies, Algorithms, Data Management
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Recurrent Neural Networks (RNNs), Tensorflow, Model Optimization, Python Programming, Model Training, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Artificial Neural Networks, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning
Mittel · angeleitetes Projekt · Weniger als 2 Stunden

Kompetenzen, die Sie erwerben: Cyber Threat Intelligence, Security Information and Event Management (SIEM), AI Security, Threat Modeling, Generative AI, Threat Detection, Cybersecurity, Incident Response, Malware Protection, Prompt Engineering, Exploitation techniques, Anomaly Detection, Large Language Modeling, Vulnerability Management, Incident Management
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Tensorflow, Natural Language Processing, Python Programming, Applied Machine Learning, Machine Learning Methods, Model Training, Recurrent Neural Networks (RNNs), Generative Model Architectures, Machine Learning, Deep Learning
Mittel · angeleitetes Projekt · Weniger als 2 Stunden

DeepLearning.AI
Kompetenzen, die Sie erwerben: Hugging Face, Model Optimization, Fine-tuning, Transfer Learning, Model Training, Embeddings, Data Preprocessing
Mittel · Kurs · 1–4 Wochen

University of Michigan
Kompetenzen, die Sie erwerben: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Embeddings, LLM Application, Applied Machine Learning, Data Quality, Unstructured Data, Anomaly Detection, Machine Learning Methods, Data Science, Machine Learning, Data Preprocessing, Data Transformation, Data Analysis, Social Media Analytics, Data Manipulation, Python Programming, Exploratory Data Analysis
Fortgeschritten · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: LangChain, LLM Application, Application Development, Large Language Modeling, Artificial Intelligence, Natural Language Processing
Anfänger · Kurs · 1–4 Wochen