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: LangChain, LLM Application, Hugging Face, Retrieval-Augmented Generation, Prompt Patterns, LangGraph, Model Deployment, AI Workflows, Large Language Modeling, AI Orchestration, Generative AI, Token Optimization, Generative Model Architectures, AI Integrations, Fine-tuning, Embeddings, Data Pipelines, Containerization, Restful API, Docker (Software)
Mittel · Spezialisierung · 1–3 Monate

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

Coursera
Kompetenzen, die Sie erwerben: Responsible AI, AI Security, Threat Modeling, MLOps (Machine Learning Operations), Budget Management, Security Testing, Data Ethics, Data Governance, Experimentation, Prompt Engineering, Application Security, CI/CD, Automation, Financial Forecasting, Compliance Management, Governance, Technical Documentation, Vulnerability Assessments, Risk Management, Stakeholder Communications
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Metadata Management, Feature Engineering, Data Store, Data Modeling, Data Storage, Data Processing, Data Management, Cloud Storage
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, Backlogs, Project Risk Management, Compliance Management, Stakeholder Communications, Risk Management, Data Governance, Model Evaluation, Project Planning, Case Studies, Risking
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Bewertung des Modells, Unüberwachtes Lernen, Überwachung von Ereignissen, MLOps (Operationen für maschinelles Lernen), Modell-Optimierung, Erkennung von Anomalien, Daten in Echtzeit, Statistische Analyse, Zeitreihenanalyse und Vorhersage, Systemüberwachung, Kontinuierliche Überwachung, Statistische Methoden, Statistische Hypothesenprüfung, Trendanalyse, Erkennung von Bedrohungen, Modellevaluation
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, Data Storage, AI Workflows
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Training, DevOps, Application Lifecycle Management, Machine Learning Methods, AI Workflows, Applied Machine Learning, Automation
Mittel · Kurs · 1–4 Wochen

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

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Training, Cloud Deployment, Cloud Management, DevOps, Continuous Deployment, Model Evaluation, AI Workflows, Automation, Continuous Delivery, Machine Learning
Mittel · Kurs · 1–4 Wochen
Kompetenzen, die Sie erwerben: Generative AI Agents, Prompt Engineering, Agentic systems, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Artificial Intelligence, AI Security, Model Deployment, Large Language Modeling, Application Deployment, Development Environment, Security Testing, Responsible AI, Virtual Environment, Software Development, Python Programming, Software Testing, Microsoft Visual Studio, Computer Programming, Software Design
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, Application Lifecycle Management, DevOps, AI Workflows, Applied Machine Learning, Model Evaluation, Automation
Mittel · Kurs · 1–4 Wochen