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.

Board Infinity
Kompetenzen, die Sie erwerben: Model Deployment, MLOps (Machine Learning Operations), Docker (Software), Containerization, Application Deployment, Restful API, API Design, Scalability, Application Programming Interface (API), Data Validation, Software Versioning, Performance Tuning
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), AI Workflows, API Design, CI/CD, Software Quality Assurance, Code Review, Software Engineering, Software Versioning
Mittel · Kurs · 1–4 Wochen

Board Infinity
Kompetenzen, die Sie erwerben: AWS SageMaker, Serverless Computing, Google Cloud Platform, Cloud Deployment, Model Deployment, AI Integrations, Cloud Platforms, Cloud Computing, Amazon Web Services, Microsoft Azure, MLOps (Machine Learning Operations), Applied Machine Learning, Enterprise Architecture, Data Pipelines, Amazon S3, Scalability
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Evaluation, Generative AI, MLOps (Machine Learning Operations), Model Optimization, Machine Learning Methods, Continuous Monitoring
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Model Optimization, Google Cloud Platform, Responsible AI, Data Quality
Mittel · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Deployment, Anomaly Detection, Model Evaluation, Dashboard, CI/CD, Data Visualization, DevOps, Continuous Monitoring, Data-Driven Decision-Making, Performance Analysis, Key Performance Indicators (KPIs), Statistical Analysis, Performance Tuning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Automation, Agentic systems, Version Control
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Model Evaluation, Generative AI, Model Optimization, MLOps (Machine Learning Operations), Google Cloud Platform, Responsible AI, Continuous Monitoring
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Metadata Management, Feature Engineering, Data Preprocessing, Data Store, Data Modeling, Data Storage Technologies, Data Storage, Data Management
Mittel · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Google Cloud Platform, Data Store, Model Deployment, Data Modeling, Feature Engineering, Data Management, Data Storage
Mittel · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Deployment, Data Store, Google Cloud Platform, Feature Engineering, Data Processing, Data Modeling, Data Management, Applied Machine Learning, Data Storage, AI Workflows, Data Import/Export
Mittel · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Data Store, Feature Engineering, Model Deployment, Google Cloud Platform, Data Modeling, Data Storage, Data Management, Applied Machine Learning, Data Import/Export, AI Workflows
Mittel · Kurs · 1–4 Wochen

Microsoft
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Microsoft Azure, Microsoft Copilot, AI Product Strategy, Responsible AI, Business Metrics, Performance Measurement, Model Deployment, Cloud Management, Data Pipelines, AI Orchestration, Data Governance, Performance Metric, AI Workflows, Performance Analysis, Return On Investment, Enterprise Architecture, Data Architecture, Agentic Workflows, Solution Architecture
Mittel · Kurs · 1–3 Monate