Robotik-Kurse können Ihnen helfen zu verstehen, wie robotische Systeme aufgebaut, gesteuert und programmiert werden. Sie können Fähigkeiten in Sensorik, Bewegung, Simulation und Automatisierung aufbauen. Viele Kurse stellen Tools und Beispiele für typische Robotikanwendungen vor.

Kompetenzen, die Sie erwerben: PyTorch (Machine Learning Library), Model Optimization, Deep Learning, Cloud Infrastructure, Microsoft Azure, MLOps (Machine Learning Operations), Model Training, AI Workflows, Scalability, Model Deployment, Hugging Face, Machine Learning Methods, Performance Tuning, Artificial Neural Networks, Development Environment, Computer Vision
Fortgeschritten · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: PyTorch (Machine Learning Library), Deep Learning, Generative AI, Large Language Modeling, Development Environment, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Generative Model Architectures, Image Analysis, Feature Engineering, Transfer Learning, Artificial Neural Networks, Natural Language Processing, Convolutional Neural Networks, Vision Transformer (ViT), Computer Vision, Jupyter, Model Evaluation, Model Based Systems Engineering
Anfänger · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: PyTorch (Machine Learning Library), Development Environment, Deep Learning, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Artificial Neural Networks, Artificial Intelligence, Jupyter, Machine Learning, Model Training, Machine Learning Algorithms, Learning Theory, Data Science
Gemischt · Kurs · 1–4 Wochen
University of Colorado Boulder
Kompetenzen, die Sie erwerben: Data Ethics, Data Governance, AI Security, Artificial Intelligence, Generative AI, Governance Risk Management and Compliance, Regulatory Compliance, General Data Protection Regulation (GDPR), Environmental Policy, Ethical Standards And Conduct, Information Privacy, Business Ethics, Information Technology, Policy Analysis, Research, and Development, Labor Law, Professionalism, Intellectual Property, Human Centered Design, Education and Training, Data Literacy
Anfänger · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Mathematics, Machine Learning Methods, Model Training, Artificial Neural Networks, Machine Learning, Deep Learning, Model Optimization, Fine-tuning, Convolutional Neural Networks, Python Programming, Calculus, Graphing, Derivatives
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Responsible AI, Generative AI, Model Deployment, Generative Model Architectures, Large Language Modeling, Model Training, Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Model Evaluation, Retrieval-Augmented Generation, AI Security, Deep Learning, Artificial Neural Networks, Model Optimization, Transfer Learning
Fortgeschritten · Kurs · 3–6 Monate

Kompetenzen, die Sie erwerben: Generative AI, Generative Model Architectures, Image Analysis, Model Training, Convolutional Neural Networks, Deep Learning, Data Preprocessing, Natural Language Processing, Unstructured Data, Network Model, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Data Processing, Model Optimization, Computer Vision, AI Workflows, Network Architecture, Data Transformation
Gemischt · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Generative Model Architectures, Recurrent Neural Networks (RNNs), Fine-tuning, Generative AI, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Vision Transformer (ViT), PyTorch (Machine Learning Library), Artificial Neural Networks, Convolutional Neural Networks, AI Workflows, Hugging Face, Image Analysis, Deep Learning, Model Deployment, Autoencoders, Machine Learning, Computer Science, Algorithms, Data Science
Fortgeschritten · Kurs · 1–3 Monate

Hebrew University of Jerusalem
Kompetenzen, die Sie erwerben: Netzwerk-Modell, Mathematische Modellierung, Ethik im Gesundheitswesen, Psychologie, Physiologie, Simulationen, Elektrophysiologie, Künstliche neuronale Netze, Biologie, Netzwerkanalyse, Analyse sensorischer Systeme, Zellbiologie, Simulation und Simulationssoftware, Biowissenschaften, Neurologie, Anatomie
★ 4.8 (1256) · Gemischt · Kurs · 1–3 Monate
Kompetenzen, die Sie erwerben: Automation Engineering, Manufacturing and Production, Automation, Manufacturing Operations, Manufacturing Processes, Production Line, Production Process, Workforce Development, Machine Controls, Robotics, Safety Standards, Safety Assurance, Sustainable Engineering, Sustainable Technologies
★ 4.7 (13) · Anfänger · Kurs · 1–4 Wochen

DeepLearning.AI
Kompetenzen, die Sie erwerben: Numerische Analyse, Fortgeschrittene Mathematik, Methoden des maschinellen Lernens, Angewandtes maschinelles Lernen, Künstliche neuronale Netze, Tiefes Lernen, Software-Visualisierung, Angewandte Mathematik, Computerprogrammierung, Modell-Optimierung, Kalkulation, Maschinelles Lernen, Derivate, Algorithmen für maschinelles Lernen, Python-Programmierung
★ 4.8 (972) · Mittel · Kurs · 1–4 Wochen

DeepLearning.AI
Kompetenzen, die Sie erwerben: AI Enablement, AI Product Strategy, Responsible AI, Artificial Intelligence, AI literacy, Data Ethics, AI Integrations, Applied Machine Learning, Artificial Neural Networks, Data Science, Deep Learning, Machine Learning
★ 4.8 (1382) · Anfänger · Kurs · 1–4 Wochen