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.

Kompetenzen, die Sie erwerben: Model Deployment, MLOps (Machine Learning Operations), Generative AI, Dependency Analysis, Dashboard, Continuous Deployment, System Monitoring, Responsible AI, Performance Tuning, Cloud Deployment, Site Reliability Engineering, Release Management, Kubernetes, Application Performance Management, CI/CD, Performance Analysis, Continuous Monitoring, Automation, Cloud Platforms, Data-Driven Decision-Making
Mittel · Kurs · 3–6 Monate

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

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Package and Software Management, Unit Testing, Testability, Python Programming
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Milestones (Project Management), Acceptance Testing, CI/CD, Scope Management, MLOps (Machine Learning Operations), Feature Engineering, Governance Risk Management and Compliance, Capacity Management, Responsible AI, Smart Goals, Project Risk Management, Compliance Management, Stakeholder Communications, Data Governance, Risk Analysis, Model Evaluation, Applied Machine Learning, Project Planning, Risk Management, Mitigation
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Feature Engineering, Workflow Management, Predictive Modeling, Scalability, Performance Tuning
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), LLM Application, AI Security, Test Automation, Test Driven Development (TDD), Code Coverage, Unit Testing, CI/CD, Continuous Integration, Testability, Large Language Modeling, Model Deployment, Responsible AI, Maintainability, AI Workflows, Scripting, Software Engineering, Python Programming, Statistical Analysis, SQL
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Responsible AI, Data Ethics, Model Deployment, AI Product Strategy, Technical Design, Prompt Engineering, AI Security, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Technical Communication, Communication, AI Workflows, MLOps (Machine Learning Operations), LLM Application, Apache Airflow, System Design and Implementation, Python Programming, CI/CD, SQL, AWS CloudFormation
Mittel · Kurs · 1–4 Wochen

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

Kompetenzen, die Sie erwerben: Data Preprocessing, Model Deployment, Model Evaluation, Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Large Language Modeling, Data Cleansing, Supervised Learning, Data Transformation, Cloud Deployment, Data Ethics, CI/CD, Machine Learning Algorithms, Transfer Learning, Statistical Methods, Data Quality, Dimensionality Reduction, Performance Tuning
Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Feature Engineering, Data Pipelines, Apache Airflow, MLOps (Machine Learning Operations), Data Preprocessing, Service Level, Model Evaluation, Real Time Data, Data Store, Data Transformation, Data Validation, Key Performance Indicators (KPIs)
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Deployment, Test Data, Model Evaluation, Data Synthesis, Development Environment, Claims Processing, Performance Tuning, Applied Machine Learning, Computer Hardware
Anfänger · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: AI Security, Responsible AI, Threat Modeling, DevSecOps, Governance Risk Management and Compliance, Compliance Management, Data Ethics, Data Governance, Model Evaluation, Reinforcement Learning, Risk Management, Prompt Engineering, Governance, Regulatory Compliance, Security Testing, MLOps (Machine Learning Operations), MITRE ATT&CK Framework, Continuous Monitoring, Ethical Standards And Conduct, Vulnerability Assessments
Mittel · Spezialisierung · 3–6 Monate