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.

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

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

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: MLOps (Machine Learning Operations), Data Validation, Model Deployment, Test Driven Development (TDD), Apache Airflow, Data Pipelines, Containerization, Extract, Transform, Load, Kubernetes, Model Training, Data Integrity, Model Optimization, Cloud-Native Computing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Artificial Intelligence, Artificial Neural Networks, Machine Learning Algorithms, Natural Language Processing, Algorithms
Mittel · Kurs · 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

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

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

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 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: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Autoencoders, Model Optimization, Vision Transformer (ViT), Artificial Neural Networks, Model Deployment, Model Training, Deep Learning, Recurrent Neural Networks (RNNs), Embeddings, Machine Learning Methods, PyTorch (Machine Learning Library), AI Enablement, Artificial Intelligence
Fortgeschritten · Spezialisierung · 1–3 Monate

Board Infinity
Kompetenzen, die Sie erwerben: Model Deployment, Model Training, Deep Learning, PyTorch (Machine Learning Library), Scalability, Docker (Software), Application Deployment, Containerization, Model Evaluation, Artificial Neural Networks, Tensorflow, Network Model, Network Architecture, Configuration Management
Mittel · 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