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.

Kompetenzen, die Sie erwerben: Cloud API, Google Cloud Platform, Text Mining, Application Programming Interface (API), LLM Application, Large Language Modeling, Generative AI, Prompt Engineering, Natural Language Processing, Jupyter, Python Programming, Classification Algorithms
★ 4.1 (7) · Mittel · angeleitetes Projekt · Weniger als 2 Stunden

Johns Hopkins University
Kompetenzen, die Sie erwerben: Autoencoders, Recurrent Neural Networks (RNNs), Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Generative Model Architectures, Unsupervised Learning, Responsible AI, Data Ethics, Markov Model
★ 4 (7) · Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Microsoft Copilot, Natural Language Processing, AI literacy, Data Storytelling, Data Visualization, Data-Driven Decision-Making, Data Presentation, Generative AI, Data Visualization Software, Data Analysis, Responsible AI, Predictive Modeling
★ 4.7 (35) · Anfänger · Kurs · 1–4 Wochen

Edureka
Kompetenzen, die Sie erwerben: Prompt Engineering, Multimodal Prompts, Prompt Patterns, Prompt Engineering Tools, LLM Application, LangChain, Large Language Modeling, Responsible AI, AI Security, OpenAI, Generative AI, AI Personalization, Context Management, Natural Language Processing, CI/CD, Test Automation, Python Programming, Pandas (Python Package), Scalability, Application Development
Anfänger · Kurs · 1–4 Wochen

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: Tensorflow, Google Cloud Platform, Scripting, Data-Driven Decision-Making, Model Training, Applied Machine Learning, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Development Environment
★ 4 (20) · Anfänger · Projekt · Weniger als 2 Stunden

Kompetenzen, die Sie erwerben: Prompt Engineering, Large Language Modeling, Prompt Patterns, Fine-tuning, Generative AI, Generative Model Architectures, LLM Application, Retrieval-Augmented Generation, Model Training, Natural Language Processing, Model Evaluation, Data Cleansing, Model Optimization
Mittel · Kurs · 1–4 Wochen

DeepLearning.AI
Kompetenzen, die Sie erwerben: Deep Learning, Artificial Neural Networks, Artificial Intelligence, NumPy, Computer Vision, Model Training, Supervised Learning
Mittel · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Model Optimization, Model Training, Artificial Neural Networks
Mittel · angeleitetes Projekt · Weniger als 2 Stunden

Kompetenzen, die Sie erwerben: Model Training, Deep Learning, Model Optimization, Data Preprocessing, Keras (Neural Network Library), Tensorflow, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Generative Model Architectures, Natural Language Processing
Fortgeschritten · Kurs · 1–4 Wochen
University of Glasgow
Kompetenzen, die Sie erwerben: Autoencoders, Feature Engineering, Deep Learning, Machine Learning Methods, Model Evaluation, Recurrent Neural Networks (RNNs), Machine Learning, Image Analysis, Applied Machine Learning, Responsible AI, Convolutional Neural Networks, Artificial Neural Networks, Visualization (Computer Graphics)
★ 4.6 (15) · Mittel · Kurs · 1–4 Wochen

University of Colorado Boulder
Kompetenzen, die Sie erwerben: Model Evaluation, Applied Machine Learning, Unsupervised Learning, Decision Tree Learning, Artificial Neural Networks, Machine Learning Methods, Classification Algorithms, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Random Forest Algorithm, Predictive Modeling, Applied Mathematics, Dimensionality Reduction, Statistics
★ 4.4 (9) · Mittel · Kurs · 1–4 Wochen