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.

Kompetenzen, die Sie erwerben: Data Preprocessing, Model Evaluation, Fine-tuning, Hugging Face, Data Processing, Data Transformation, Model Training, Feature Engineering, Data Pipelines, Image Analysis, Image Quality, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Machine Learning Methods, Data Architecture, Machine Learning Software, Computer Vision, Digital Signal Processing, Artificial Neural Networks, Machine Learning Algorithms
Mittel · Kurs · 3–6 Monate

Birla Institute of Technology & Science, Pilani
Kompetenzen, die Sie erwerben: Natural Language Processing, Large Language Modeling, Embeddings, Text Mining, Semantic Web, Data Preprocessing, LLM Application, Artificial Intelligence and Machine Learning (AI/ML), ChatGPT, Data Processing, Artificial Intelligence, Artificial Neural Networks, Statistical Machine Learning, Generative AI, Deep Learning, Model Training, Dependency Analysis, Model Evaluation
Mittel · Kurs · 1–3 Monate

John Wiley & Sons
Kompetenzen, die Sie erwerben: Supervised Learning, Statistical Methods, Exploratory Data Analysis, Data Preprocessing, Model Evaluation, Data Processing, Data Quality, Model Deployment, Data Transformation, Machine Learning Methods, Image Analysis, Statistics, Statistical Machine Learning, Data Analysis, Data Science, MLOps (Machine Learning Operations), Applied Machine Learning, Unsupervised Learning, Computer Vision, Machine Learning Algorithms
Anfänger · Spezialisierung · 1–3 Monate

Edureka
Kompetenzen, die Sie erwerben: Generative AI, Retrieval-Augmented Generation, Large Language Modeling, Generative Model Architectures, Machine Learning Methods, Google Gemini, ChatGPT, OpenAI, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Prompt Engineering, Applied Machine Learning, Machine Learning, Deep Learning, Machine Learning Algorithms, Computer Vision, Predictive Modeling, Supervised Learning, Text Mining
★ 3.7 (68) · Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Prompt Engineering, Large Language Modeling, Natural Language Processing, LLM Application, Multimodal Prompts, Recurrent Neural Networks (RNNs), Text Mining, Embeddings, Generative AI, Deep Learning, Fine-tuning, Generative Model Architectures, Artificial Neural Networks, Machine Learning, Data Ethics
Mittel · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Retrieval-Augmented Generation, LLM Application, Natural Language Processing, Text Mining, Data-Driven Decision-Making, Usability Testing, Embeddings, Usability, Unstructured Data, Model Evaluation
Mittel · Kurs · 1–4 Wochen

Board Infinity
Kompetenzen, die Sie erwerben: Hugging Face, Model Evaluation, Model Optimization, Embeddings, Transfer Learning, LLM Application, Model Training, Recurrent Neural Networks (RNNs), Generative Model Architectures, Fine-tuning, Model Deployment, Data Preprocessing
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Vision Transformer (ViT), Generative Model Architectures, Recurrent Neural Networks (RNNs), Embeddings, Large Language Modeling, Artificial Neural Networks, Software Architecture, Model Optimization, Deep Learning, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Artificial Intelligence, Distributed Computing, Scalability, Unsupervised Learning, Computer Vision, Memory Management
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Data Ethics, Generative AI Agents, Model Deployment, Restful API, Software Design Documents, Software Design, Application Deployment, AI Integrations, AI literacy, Software Architecture, Agentic Workflows, Continuous Integration, Artificial Intelligence and Machine Learning (AI/ML), Software Development, Java Programming
★ 4.7 (11.761) · Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Classification And Regression Tree (CART), Decision Tree Learning, Large Language Modeling, Retrieval-Augmented Generation, LLM Application, Data Analysis, Applied Machine Learning, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Model Training, Fine-tuning, Model Deployment, Generative AI, Text Mining, Prompt Engineering, Deep Learning, Random Forest Algorithm, Machine Learning, MLOps (Machine Learning Operations)
Mittel · Kurs · 3–6 Monate

Kompetenzen, die Sie erwerben: Transfer Learning, Verarbeitung natürlicher Sprache, Modell-Optimierung, Generative KI, Einbettungen, Angewandtes maschinelles Lernen, Lernen übertragen, Generative Modellarchitekturen, Datenvorverarbeitung, Modell Ausbildung, Vorverarbeitung von Daten, Modellierung großer Sprachen, PyTorch (Bibliothek für maschinelles Lernen)
★ 4.5 (147) · Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: PySpark, Data Pipelines, Apache Spark, Dashboard Creation, Dashboard, Interactive Data Visualization, Data Processing, Real Time Data, Natural Language Processing, Distributed Computing, Deep Learning, Performance Tuning
Mittel · Kurs · 1–3 Monate