Finden Sie Robotik-Kurse, die Themen wie Automatisierung, Maschinensteuerung und künstliche Intelligenz abdecken. Bereiten Sie sich auf Karrieren in Ingenieurwesen, Forschung und Fertigung vor.

Johns Hopkins University
Kompetenzen, die Sie erwerben: Responsible AI, Data Ethics, Deep Learning, Debugging, Artificial Intelligence, Machine Learning, Bayesian Statistics, Applied Machine Learning, Artificial Neural Networks, Data-Driven Decision-Making, Information Privacy, Case Studies
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Keras (Neural Network Library), Time Series Analysis and Forecasting, PyTorch (Machine Learning Library), Natural Language Processing, Tensorflow, Deep Learning, Artificial Neural Networks, Applied Machine Learning
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Multimodal Prompts, Artificial Neural Networks, Deep Learning, Data Manipulation
Mittel · Kurs · 1–4 Wochen

Pearson
Kompetenzen, die Sie erwerben: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Generative Model Architectures, Multimodal Prompts, Image Analysis, Computer Vision, Artificial Neural Networks, Natural Language Processing, Deep Learning, Prompt Engineering, Image Quality, Text Mining, Data Manipulation, Unsupervised Learning, Performance Tuning
Mittel · Spezialisierung · 1–4 Wochen

Northeastern University
Kompetenzen, die Sie erwerben: Generative AI, Generative Model Architectures, Artificial Neural Networks, Deep Learning, Bayesian Network, Mathematical Modeling, Computer Vision, Estimation, Applied Mathematics, Machine Learning, Network Architecture, Probability Distribution, Calculus
Mittel · Kurs · 1–4 Wochen

DeepLearning.AI
Kompetenzen, die Sie erwerben: Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Machine Learning Methods, Network Model, Network Architecture, Algorithms
Mittel · Kurs · 1–4 Wochen

Pearson
Kompetenzen, die Sie erwerben: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, PyTorch (Machine Learning Library), Tensorflow, LLM Application, Computer Vision, Responsible AI, Natural Language Processing, Generative AI, Artificial Neural Networks, Data Ethics, Multimodal Prompts, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Methods, Artificial Intelligence, Application Deployment, Time Series Analysis and Forecasting
Mittel · Spezialisierung · 1–4 Wochen

Kompetenzen, die Sie erwerben: Generative AI, Generative Model Architectures, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Network Architecture, Performance Tuning, Matplotlib, Jupyter, NumPy
Fortgeschritten · Kurs · 3–6 Monate

Pearson
Kompetenzen, die Sie erwerben: Deep Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Machine Learning, Python Programming, Algorithms, Network Architecture, Data Processing
Mittel · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: Large Language Modeling, Natural Language Processing, Artificial Neural Networks, Network Model
Fortgeschritten · Kurs · 1–4 Wochen

DeepLearning.AI
Kompetenzen, die Sie erwerben: Deep Learning, Tensorflow, Artificial Neural Networks, Performance Tuning, Machine Learning Algorithms, Machine Learning, Network Architecture, Algorithms, Verification And Validation
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Prompt Engineering, PyTorch (Machine Learning Library), Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Computer Vision, Image Analysis, Generative AI, Generative Model Architectures, Application Deployment, Artificial Neural Networks, Text Mining, Deep Learning, Cloud Hosting, Semantic Web, Restful API
Mittel · Spezialisierung · 1–4 Wochen