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.

Duke University
Kompetenzen, die Sie erwerben: User Experience Design, Mensch-Computer-Interaktion, Datenverarbeitung, Klassifizierungs- und Regressionsbaum (CART), Modell-Bereitstellung, Maschinelles Lernen, Modellevaluation, MLOps (Maschinelles Lernen Operations), Datenethik, Unüberwachtes Lernen, Datenvorverarbeitung, Projektmanagende Life Cycle, Projektmanagement, Verantwortungsvolle KI, Menschenzentriertes Design, Datenqualität, Produktmanagement, Datenmanagement, Produktdesign, Deep Learning
Anfänger · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Model Deployment, MLOps (Machine Learning Operations), AI Orchestration, Dependency Analysis, Application Deployment, Continuous Deployment, Generative AI, Release Management, Regression Testing, Cloud Deployment, Verification And Validation, Site Reliability Engineering, CI/CD, Model Evaluation, Continuous Delivery, Data-Driven Decision-Making, Application Performance Management, Software Technical Review, Kubernetes, System Requirements
Mittel · Kurs · 1–4 Wochen
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Deployment, Containerization, Performance Tuning, Docker (Software), Java, Application Performance Management, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Data Structures
Fortgeschritten · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Deployment, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Large Language Modeling, Version Control
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Infrastructure as Code (IaC), Scripting, Cloud Deployment, Data Persistence, Python Programming, Command-Line Interface, Virtual Machines, Data Pipelines
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: System Monitoring, Dashboard, Application Performance Management, Site Reliability Engineering, Continuous Monitoring, Event Monitoring, Performance Tuning, Performance Metric, Service Level, Generative AI, MLOps (Machine Learning Operations), Business Metrics, Analysis, Service Level Agreement, Distributed Computing, Incident Management, Real Time Data, Data Integration
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Evaluation, Key Performance Indicators (KPIs), Business Metrics, Performance Analysis, Performance Measurement, Responsible AI, Test Execution Engine, Performance Metric, Test Automation, Feature Engineering, Verification And Validation, Content Performance Analysis, Machine Learning, Data Ethics, Quality Assessment, Gap Analysis, Cost Benefit Analysis, Research Design, Quantitative Research
Mittel · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Responsible AI, Regression Analysis, Classification And Regression Tree (CART), Case Studies, Continuous Monitoring, Performance Metric
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Sample Size Determination, Data Strategy, Analytical Skills, Data-Driven Decision-Making, Data Analysis, Analytics, Jupyter, Data Science, Statistical Analysis, Data Collection, Data Mining, Data Management, MLOps (Machine Learning Operations), Research and Design, Version Control, Software Documentation
Mittel · Kurs · 1–4 Wochen
Coursera
Kompetenzen, die Sie erwerben: LLM Application, CI/CD, Amazon CloudWatch, Infrastructure as Code (IaC), Cloud Deployment, DevSecOps, Enterprise Security, DevOps, Docker (Software), Cloud Management, System Monitoring, Performance Testing
Mittel · Kurs · 1–4 Wochen
Kompetenzen, die Sie erwerben: Embeddings, Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Data Cleansing, Anomaly Detection, Vector Databases, System Monitoring, Verification And Validation, Legal Technology, Semantic Web, E-Commerce, Large Language Modeling, Data Validation, Unsupervised Learning, Data Manipulation, Dimensionality Reduction, Performance Metric, Cost Reduction
Mittel · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: Google Gemini, Retrieval-Augmented Generation, Generative AI, AI Enablement, Enterprise Security, Agentic systems, Tool Calling, Artificial Intelligence, Customer experience improvement, LLM Application, Strategic Planning, Decision Making, Organizational Strategy, Cloud Infrastructure, Cloud Computing, Cloud Platforms, Innovation, MLOps (Machine Learning Operations), Collaboration
Anfänger · Spezialisierung · 3–6 Monate