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.

Coursera
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Application Performance Management, System Monitoring, Model Deployment, Model Evaluation, Continuous Monitoring, Performance Tuning, Process Optimization, Anomaly Detection, Artificial Intelligence and Machine Learning (AI/ML), Root Cause Analysis, Performance Metric, Performance Analysis
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Feature Engineering, MLOps (Machine Learning Operations), Responsible AI, Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Big Data, Keras (Neural Network Library), Data Preprocessing, Data Quality, Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Data Migration, Apache Airflow, Model Evaluation, Data Lakes, Scikit Learn (Machine Learning Library), Cloud Computing
Mittel · Berufsbezogenes Zertifikat · 3–6 Monate

Kompetenzen, die Sie erwerben: Threat Modeling, AI Security, DevSecOps, Security Testing, Continuous Monitoring, CI/CD, Threat Detection, Secure Coding, MITRE ATT&CK Framework, DevOps, System Monitoring, Application Security, Continuous Integration, MLOps (Machine Learning Operations), Scripting, Unit Testing, Test Case, Prompt Engineering, Integration Testing
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Site Reliability Engineering, Scalability, Performance Analysis, Data Maintenance, Analytics, Event Monitoring, Service Level Agreement, System Support, Performance Review
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

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

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

Microsoft
Kompetenzen, die Sie erwerben: Cloud Security, Data Management, Data Security, Clinical Data Management, Microsoft Azure, Health Technology, IT Security Architecture, AI Enablement, Image Analysis, Data Visualization Software, Personally Identifiable Information, Generative AI, Microsoft Teams, Machine Learning, Clinical Monitoring, General Data Protection Regulation (GDPR), Data Ethics, Information Privacy, Health Informatics, Medical Imaging
Anfänger · Berufsbezogenes Zertifikat · 3–6 Monate

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

Kompetenzen, die Sie erwerben: Maschinelles Lernen, Computervision, MLOps (Maschinelles Lernen Operations), No-Code-Entwicklung, KI-Workflows, Prädiktive Modellierung, Datenethik, Anomalie-Erkennung, Künstliche Intelligenz, Verantwortungsvolle KI, Regressionsanalyse, Modell-Bereitstellung, Klassifizierungsalgorithmen, Verarbeitung natürlicher Sprache, Unüberwachtes Lernen, Bildanalyse, Microsoft Azure, Angewandtes maschinelles Lernen, Künstliche Intelligenz und Maschinelles Lernen (KI/ML), KI-Förderung
Anfänger · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Risk Analysis, Risk Management Framework, Decision Making, AI Enablement, Continuous Deployment, Project Management Software, Strategic Decision-Making, Operational Analysis, Release Management, Project Planning, Predictive Modeling, A/B Testing, Business Priorities, Operational Efficiency, Algorithms, Experimentation, Advanced Analytics, Procedure Development, Product Planning, Product Development
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Machine Learning Software, Workflow Management, Predictive Modeling, Business Process, Governance Risk Management and Compliance, Continuous Monitoring, SAS (Software), Text Mining, R Programming, Scheduling
Mittel · Kurs · 1–4 Wochen