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: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Text Mining, Data Manipulation, Unsupervised Learning, Performance Tuning
Gemischt · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Netzwerk Architektur, Regressionsanalyse, Künstliche neuronale Netze, Verarbeitung natürlicher Sprache, Methoden des Maschinellen Lernens, Deep Learning, Maschinelles Lernen, Keras (Bibliothek für Neuronale Netze), Bildanalyse, Netzwerk-Modell, Computervision, Tensorflow
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Prompt Engineering, Generative AI Agents, Generative AI, ChatGPT, Self Service Technologies, Customer Service, AI Personalization, Customer Support, Customer Communications Management, Customer Engagement, Customer experience improvement, Customer and Client Support, Microsoft Copilot, Customer Insights, Artificial Intelligence, Customer Relationship Management, Automation, Natural Language Processing
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Generative AI, Large Language Modeling, Responsible AI, Data Synthesis, Artificial Intelligence and Machine Learning (AI/ML), SAS (Software), Applied Machine Learning, Deep Learning, Text Mining, Natural Language Processing
Anfänger · Kurs · 1–3 Monate

Real Madrid Graduate School Universidad Europea
Kompetenzen, die Sie erwerben: Large Language Modeling, Image Analysis, Real Time Data, Computer Vision, Advanced Analytics, Reinforcement Learning, Emerging Technologies, Data Analysis, Data-Driven Decision-Making, Data Integration, Artificial Intelligence, Analysis, Machine Learning, Automation, Data Presentation, Natural Language Processing, Supervised Learning, Data Collection, Innovation
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Responsible AI, No-Code Development, LLM Application, ChatGPT, Business Metrics, Data Ethics, AI Personalization, Return On Investment, Application Deployment, Artificial Intelligence, AI Product Strategy, Customer experience improvement, Language Interpretation, Translation, and Studies, Performance Measurement, Key Performance Indicators (KPIs), Continuous Improvement Process, Natural Language Processing, Business Ethics, User Feedback, Customer Engagement
Anfänger · Kurs · 1–4 Wochen

University of Maryland, College Park
Kompetenzen, die Sie erwerben: Innovation, Scalability, Procurement, Artificial Intelligence, Automation, Natural Language Processing, Business Transformation, Thought Leadership, Organizational Change, Digital Transformation, AI Product Strategy, Artificial Intelligence and Machine Learning (AI/ML), Process Improvement, Organizational Effectiveness, Performance Improvement, Emerging Technologies, Product Improvement, Operational Efficiency, Goal Setting, Product Requirements
Anfänger · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Responsible AI, Cloud Development, Image Analysis, Anomaly Detection, Prompt Engineering, Microsoft Copilot, Microsoft Azure, Cloud Storage, Data Storage, Cloud Applications, Text Mining, Microsoft Development Tools, Unsupervised Learning, Data Storage Technologies, Natural Language Processing, Cloud Hosting, Continuous Deployment, Computer Vision, Cloud Computing, Machine Learning
Mittel · Spezialisierung · 3–6 Monate

Google Cloud
Kompetenzen, die Sie erwerben: Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Large Language Modeling, Reinforcement Learning, Computer Vision, Keras (Neural Network Library), Systems Design, Applied Machine Learning, Image Analysis, AI Personalization, Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Pandas (Python Package)
Fortgeschritten · Spezialisierung · 3–6 Monate

Duke University
Kompetenzen, die Sie erwerben: Algorithmen, Regressionsanalyse, Künstliche neuronale Netze, Lernen mit Entscheidungsbäumen, Verarbeitung natürlicher Sprache, Datenverarbeitung, Überwachtes Lernen, Deep Learning, Random Forest Algorithmus, Prädiktive Analytik, Unüberwachtes Lernen, Leistungsmetrik, Maschinelles Lernen, Computervision, Künstliche Intelligenz und Maschinelles Lernen (KI/ML), Klassifizierungs- und Regressionsbaum (CART)
Mittel · Kurs · 1–3 Monate

AI CERTs
Kompetenzen, die Sie erwerben: Responsible AI, Tensorflow, PyTorch (Machine Learning Library), Internet Of Things, Real Time Data, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Telecommunications, Artificial Intelligence, Emerging Technologies, Generative AI, Wireless Networks, Generative AI Agents, Network Performance Management, Network Architecture, Digital Communications, Network Protocols, Computer Networking, System Design and Implementation, Communication
Fortgeschritten · Spezialisierung · 1–3 Monate

DeepLearning.AI
Kompetenzen, die Sie erwerben: PyTorch (Machine Learning Library), Data Quality, Generative AI, Deep Learning, MLOps (Machine Learning Operations), Data Pipelines, Application Deployment, Artificial Neural Networks, Software Visualization, Computer Vision, Dimensionality Reduction, Natural Language Processing, Machine Learning
Mittel · Berufsbezogenes Zertifikat · 1–3 Monate