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: 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

John Wiley & Sons
Kompetenzen, die Sie erwerben: Data Preprocessing, Model Evaluation, Data Processing, Model Deployment, Data Transformation, MLOps (Machine Learning Operations), Unsupervised Learning, Data Cleansing, Predictive Modeling, Model Training, Data Science, Data Analysis, Applied Machine Learning, Model Optimization, Technical Communication, Supervised Learning, Machine Learning, Artificial Neural Networks
Mittel · Kurs · 1–4 Wochen
Saïd Business School, University of Oxford
Kompetenzen, die Sie erwerben: Generative AI, Generative AI Agents, Google Gemini, Content Creation, Media Strategy, Artificial Intelligence and Machine Learning (AI/ML), ChatGPT, Photo/Video Production and Technology, Responsible AI, AI Security, Artificial Intelligence, Machine Learning, Digital Media Strategy, AI Workflows, Machine Learning Algorithms, Digital Transformation, Algorithms, Business Ethics, Artificial Neural Networks, Agentic systems
Anfänger · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Reinforcement Learning, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Model Optimization, Fine-tuning, Agentic systems, Artificial Neural Networks, Machine Learning, Model Training, Machine Learning Algorithms, Data Analysis
Fortgeschritten · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Model Deployment, Deep Learning, Model Optimization, Model Training, Convolutional Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Computer Vision, Recurrent Neural Networks (RNNs), Model Evaluation, Artificial Neural Networks, Natural Language Processing
Mittel · Kurs · 1–3 Monate

John Wiley & Sons
Kompetenzen, die Sie erwerben: Supervised Learning, Machine Learning Methods, Image Analysis, Statistical Machine Learning, Applied Machine Learning, Computer Vision, Machine Learning Algorithms, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Deep Learning, Artificial Neural Networks, Text Mining, Decision Tree Learning, Advanced Analytics, Convolutional Neural Networks, Model Optimization, Data Science, Data Processing, Logistic Regression
Fortgeschritten · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Autoencoders, Model Deployment, Deep Learning, Model Optimization, PyTorch (Machine Learning Library), Model Evaluation, Artificial Neural Networks, Model Training, Convolutional Neural Networks, Performance Tuning, Artificial Intelligence, Scalability, Python Programming, Machine Learning, Memory Management, Image Quality, Performance Analysis
Anfänger · 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

Northeastern University
Kompetenzen, die Sie erwerben: Generative AI, Generative Model Architectures, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Large Language Modeling, Artificial Neural Networks, Deep Learning, Model Optimization, Bayesian Network, Machine Learning Methods, Natural Language Processing, Model Training, Probability & Statistics, Probability Distribution
Mittel · Kurs · 1–3 Monate
University of Washington
Kompetenzen, die Sie erwerben: Rekurrente Neuronale Netze (RNNs), Künstliche neuronale Netze, Wahrscheinlichkeitsverteilung, Algorithmen für maschinelles Lernen, Physiologie, Netzwerk-Modell, Überwachtes Lernen, Mathematische Modellierung, Computer Vision, Reinforcement Learning, Biologie, Differentialgleichungen, Elektrophysiologie, Angewandtes maschinelles Lernen, Analyse sensorischer Systeme, Matlab, Methoden des maschinellen Lernens, Neurologie, Mathematische Software
Anfänger · Kurs · 1–3 Monate
DeepLearning.AI
Kompetenzen, die Sie erwerben: Feinabstimmung, Faltungsneuronale Netzwerke, Modell Ausbildung, Künstliche neuronale Netze, Visualisierung (Computergrafik), Autokodierer, Keras (Bibliothek für neuronale Netze), Klassifizierungsalgorithmen, Faltungsneuronale Netze, Generative adversarische Netze (GANs), Computer Vision, Tiefes Lernen, Bewertung des Modells, Tensorflow, Lernen übertragen, Angewandtes maschinelles Lernen, Generative KI, Modell-Optimierung, Transfer Learning, Auto-Kodierer, Bildanalyse, Verteiltes Rechnen, Generative Modellarchitekturen, Modellevaluation
Mittel · Spezialisierung · 3–6 Monate

Universidad de Palermo
Kompetenzen, die Sie erwerben: Civil and Architectural Engineering, Architecture and Construction, Civil Engineering, Sustainable Architecture, Sustainable Technologies, Project Management, Engineering Management, Innovation, Sustainable Design, AI Integrations, Organizational Change, Robotics, Culture Transformation, Case Studies, AI literacy, 3D Modeling
Anfänger · Kurs · 1–4 Wochen