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.

Empower School of Health
Kompetenzen, die Sie erwerben: Health Technology, Emerging Technologies, Digital Transformation, Health Systems, Big Data, Health Care, Robotics, Surgery, Blockchain, Artificial Intelligence, Systems Integration, Data Sharing, Rehabilitation
★ 4 (6) · Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Artificial Intelligence and Machine Learning (AI/ML), NumPy, Applied Machine Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Python Programming, Artificial Neural Networks, Data Manipulation, Programming Principles, Tensorflow, Machine Learning Methods, Regression Analysis, Model Training, Scripting Languages, Computer Programming
Anfänger · Kurs · 3–6 Monate

Google Cloud
Kompetenzen, die Sie erwerben: Tensorflow, Model Deployment, Keras (Neural Network Library), Feature Engineering, Google Cloud Platform, Model Training, Data Pipelines, Jupyter, Machine Learning Methods, Deep Learning, Model Optimization, Data Preprocessing, Predictive Modeling, Artificial Neural Networks, Data Import/Export, Embeddings
★ 3.8 (12) · Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Model Optimization, Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Model Training, Supervised Learning, Machine Learning, Logistic Regression, NumPy, Regression Analysis, Network Architecture
Mittel · Kurs · 1–3 Monate

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

Kompetenzen, die Sie erwerben: AI Personalization, Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, AWS SageMaker, Scalability, Tensorflow, Dimensionality Reduction, Autoencoders, Artificial Neural Networks, Applied Machine Learning, Python Programming, Fraud detection, Machine Learning Algorithms, Model Optimization, Model Evaluation
Mittel · Kurs · 3–6 Monate

Kompetenzen, die Sie erwerben: PyTorch (Machine Learning Library), Reinforcement Learning, Deep Learning, Model Optimization, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Methods, Fine-tuning, Model Training, Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Python Programming, Natural Language Processing, Performance Tuning, Algorithms, Model Evaluation, Data Analysis
Mittel · Spezialisierung · 3–6 Monate

DeepLearning.AI
Kompetenzen, die Sie erwerben: Model Optimization, Tensorflow, Deep Learning, Model Training, Performance Tuning, Model Evaluation, Machine Learning Methods, Artificial Neural Networks, Statistical Analysis, Debugging, Verification And Validation, Algorithms
★ 4.6 (7) · Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Bewertung des Modells, Datenanalyse, Software zur Datenvisualisierung, Plot (Grafiken), Methoden des maschinellen Lernens, Vorverarbeitung von Daten, Regressionsanalyse, Prädiktive Modellierung, Angewandtes maschinelles Lernen, Künstliche neuronale Netze, Modell Ausbildung, Tiefes Lernen, Prädiktive Analytik, Explorative Datenanalyse, Statistische Methoden, Entscheidungsbaum-Lernen, Maschinelles Lernen, Algorithmen für maschinelles Lernen, Python-Programmierung, Datenvisualisierung
★ 4.9 (7) · Anfänger · angeleitetes Projekt · Weniger als 2 Stunden

University of Colorado Boulder
Kompetenzen, die Sie erwerben: Reinforcement Learning, Deep Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Algorithms, Model Training, Applied Machine Learning, Model Optimization, Agentic systems, System Design and Implementation, Model Evaluation, Network Model, Debugging, Sampling (Statistics), Probability Distribution
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Model Deployment, Tensorflow, Model Evaluation, Data Preprocessing, Image Analysis, Model Training, Artificial Neural Networks, Convolutional Neural Networks, Model Optimization, Data Processing, Network Model, Applied Machine Learning, Machine Learning Methods, Computer Vision, Deep Learning
Anfänger · angeleitetes Projekt · Weniger als 2 Stunden

Kompetenzen, die Sie erwerben: Control Systems, Computer Vision, Image Analysis, Robotics, Machine Controls, Automation, Embedded Software, Simulations, Simulation and Simulation Software, Systems Architecture, Virtual Environment, Predictive Modeling, Estimation
Mittel · Kurs · 1–3 Monate