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.

MathWorks
Kompetenzen, die Sie erwerben: Power Electronics, Simulation and Simulation Software, Model Based Systems Engineering, Electronic Systems, Electrical Systems, Electrical Engineering, Three-Phase, Machine Controls, Systems Integration, Engineering Practices, Simulations, Electrical Power, Electronics Engineering, Electronics, Electric Power Systems, Engineering Analysis, Engineering, Engineering Design Process, Performance Tuning, Environmental Issue
Anfänger · Berufsbezogenes Zertifikat · 3–6 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
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: 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

Kompetenzen, die Sie erwerben: Model Optimization, PyTorch (Machine Learning Library), Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), Model Training, AI Workflows, Tensorflow, Dataflow, Performance Tuning, Deep Learning, Dashboard, Data Pipelines, Grafana, Artificial Neural Networks, Data Processing, Resource Utilization, Performance Analysis, Performance Metric, Data Manipulation
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Datenumwandlung, Maschinelles Lernen, Modell-Optimierung, Tiefes Lernen, Künstliche neuronale Netze, Keras (Bibliothek für neuronale Netze), Modell-Einsatz, Python-Programmierung, Google Cloud-Plattform, Cloud-Bereitstellung, Datenvorverarbeitung, Modell Ausbildung, Datenverarbeitung, Vorverarbeitung von Daten, Anwendungsprogrammierschnittstelle (API), Tensorflow, Daten-Pipelines
Mittel · Kurs · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: Model Optimization, Feature Engineering, Model Training, Applied Machine Learning, Machine Learning Methods, Fine-tuning, Machine Learning Algorithms, Deep Learning, Supervised Learning, Transfer Learning, Model Evaluation, Data Structures, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Machine Learning, Artificial Neural Networks, Convolutional Neural Networks, Network Architecture, Performance Testing
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Data Preprocessing, Model Evaluation, Fine-tuning, Hugging Face, Data Processing, Data Transformation, Model Training, Feature Engineering, Data Pipelines, Image Analysis, Image Quality, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Machine Learning Methods, Data Architecture, Machine Learning Software, Computer Vision, Digital Signal Processing, Artificial Neural Networks, Machine Learning Algorithms
Mittel · Kurs · 3–6 Monate

Kompetenzen, die Sie erwerben: Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Model Optimization, Artificial Neural Networks, Model Training, Machine Learning Methods, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, NumPy, Python Programming, Matplotlib, Data Visualization, Data Science
Anfänger · 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

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

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