MLOps-Kurse können Ihnen helfen zu verstehen, wie Modelle bereitgestellt, überwacht und skaliert werden. Sie können Fähigkeiten in Automatisierung, Pipeline-Aufbau, Modelltracking und Infrastruktur aufbauen. Viele Kurse stellen Werkzeuge und Workflows vor, die den úbergang von Modellen in produktive Umgebungen unterstützen.

Macquarie University
Kompetenzen, die Sie erwerben: DevSecOps, Secure Coding, Cloud-Native Computing, Software Architecture, Security Engineering, Software Design, Microsoft Azure, Cybersecurity, DevOps, Kubernetes, Infrastructure as Code (IaC), Web Applications, Azure DevOps, Containerization, API Design, Docker (Software), Software Engineering, Role-Based Access Control (RBAC), Dependency Analysis, Git (Version Control System)
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Google Cloud Platform, Tensorflow, Unstructured Data, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Big Data, Data Pipelines, Machine Learning, Jupyter, Predictive Modeling, Natural Language Processing
Mittel · Kurs · 1–3 Monate

Google Cloud
Kompetenzen, die Sie erwerben: AI Personalization, Data Integration, Google Cloud Platform, MLOps (Machine Learning Operations), Data Modeling, Continuous Monitoring, Data Quality, System Monitoring, Real Time Data, Enterprise Architecture, Application Programming Interface (API)
Fortgeschritten · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Large Language Modeling, Data Management, Data Validation, Data Cleansing, Natural Language Processing, MLOps (Machine Learning Operations), Data Transformation, Verification And Validation, Data Quality, Performance Tuning
Mittel · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Machine Learning Methods, Systems Architecture, Performance Tuning, Distributed Computing, Applied Machine Learning, Scalability, Data Pipelines, Data Processing
Fortgeschritten · Kurs · 1–3 Monate

Google Cloud
Kompetenzen, die Sie erwerben: Feature Engineering, Tensorflow, MLOps (Machine Learning Operations), Data Transformation, Data Processing, Keras (Neural Network Library), Data Pipelines, Data Modeling, Machine Learning, Statistical Methods
Mittel · Kurs · 1–3 Monate

Google Cloud
Kompetenzen, die Sie erwerben: Google Cloud Platform, Tensorflow, Data Pipelines, MLOps (Machine Learning Operations), Kubernetes, Machine Learning
Mittel · Projekt · Weniger als 2 Stunden

Kompetenzen, die Sie erwerben: MLOps (Maschinelles Lernen Operations), Prädiktive Modellierung, Google Cloud-Platform, Cloud-API, Computervision, Cloud-Speicher, Angewandtes maschinelles Lernen, Bildanalyse, Maschinelles Lernen
Mittel · Projekt · Weniger als 2 Stunden

H2O.ai
Kompetenzen, die Sie erwerben: Large Language Modeling, LLM Application, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Data Management, Prompt Engineering, Training Programs, Data Validation, Data Cleansing, Program Evaluation, Natural Language Processing, Applied Machine Learning, MLOps (Machine Learning Operations), Data Transformation, Verification And Validation, Data Quality, Performance Tuning, Data Processing
Mittel · Spezialisierung · 3–6 Monate
Kompetenzen, die Sie erwerben: Large Language Modeling, MLOps (Machine Learning Operations), Data Import/Export, Data Processing, Applied Machine Learning, Artificial Intelligence, Data Quality, Exploratory Data Analysis, Data Analysis, Computer Vision, Natural Language Processing
Mittel · Kurs · 1–3 Monate

Universidad Austral
Kompetenzen, die Sie erwerben: Natural Language Processing, MLOps (Machine Learning Operations), Application Lifecycle Management, Systems Architecture, Application Development, Algorithms, Software Architecture, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Software Development Life Cycle, Machine Learning
Anfänger · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Exploratory Data Analysis, Data Collection, Data Ethics, MLOps (Machine Learning Operations), Feature Engineering, Data Cleansing, Responsible AI, Applied Machine Learning, Data Analysis, Solution Design, Statistical Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Application Deployment, Generative AI, Continuous Monitoring
Mittel · Kurs · 1–3 Monate