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: AI Security, Vulnerability Scanning, Hardening, DevSecOps, Vulnerability Assessments, Responsible AI, Identity and Access Management, MLOps (Machine Learning Operations), Cyber Governance, Infrastructure Security, Application Security, Security Controls, CI/CD, Continuous Monitoring, AI Personalization, Resilience, Compliance Management, Anomaly Detection, Data Integrity, Engineering
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Fine-tuning, Model Evaluation, Context Engineering, LLM Application, Token Optimization, Large Language Modeling, Hugging Face, Transfer Learning, Model Optimization, Model Training, Context Management
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Google Cloud Platform, Analytics, Systems Design, Data Processing, Applied Machine Learning, MLOps (Machine Learning Operations), Model Deployment, Data Pipelines, Data Infrastructure, Data Quality, Cloud Security
Fortgeschritten · Kurs · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: Model Deployment, Multi-Cloud, Cloud Security, AI Security, MLOps (Machine Learning Operations), DevSecOps, Cloud Management, Security Architecture Review, Microservices, Site Reliability Engineering, Security Controls, CI/CD, System Monitoring, Infrastructure as Code (IaC), Compliance Management, Automation, Kubernetes, Docker (Software), Incident Management, Performance Analysis
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Fine-tuning, ChatGPT, Generative Model Architectures, Cloud Deployment, AI Workflows, Application Performance Management, Semantic Web
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Evaluation, Technical Communication, Technical Product Management, Workflow Management, Program Evaluation, Performance Metric, Agile Project Management, Data Analysis, Agile Methodology, Project Management, Analytics, Stakeholder Communications, Project Performance, Data-Driven Decision-Making, AI Integrations, Machine Learning, Large Language Modeling, R Programming, Data Visualization
Mittel · Kurs · 1–4 Wochen

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: Prompt Engineering, Retrieval-Augmented Generation, Generative AI, Prompt Engineering Tools, Generative AI Agents, LLM Application, OpenAI, Claude Code, Anthropic Claude, Rust (Programming Language), Databricks, Embeddings, MLOps (Machine Learning Operations), Vector Databases, Data Architecture, DevOps, Python Programming, Software Architecture, Scala Programming, Governance
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Process Driven Development, Data Processing, Systems Design, Statistical Reporting, Data Pipelines, Interactive Data Visualization, Data Infrastructure, Data Quality, Data Presentation, MLOps (Machine Learning Operations), Google Cloud Platform, Applied Machine Learning, Data Modeling, Model Deployment, Data Integrity, Data Management, Model Training, Big Data, Cloud Security
Fortgeschritten · Kurs · 1–3 Monate

Simplilearn
Kompetenzen, die Sie erwerben: Modell-Optimierung, Modell Ausbildung, Feinabstimmung, Vorverarbeitung von Daten, Verantwortungsvolle AI, Reinforcement Learning, Modell-Einsatz, LangChain, Modellierung großer Sprachen, Bewertung des Modells, LLM-Bewerbung, Datenvorverarbeitung, Modellevaluation, OpenAI
★ 3.5 (6) · Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Google Cloud Platform, Unstructured Data, Tensorflow, MLOps (Machine Learning Operations), Model Deployment, Applied Machine Learning, Jupyter, Transfer Learning, Model Training, Data Pipelines, Machine Learning, Artificial Intelligence
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: AI Product Strategy, AI Personalization, Product Management, Commercialization, Model Training, Technical Product Management, Product Lifecycle Management, Design and Product, Model Deployment, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Product Strategy, User Interface and User Experience (UI/UX) Design, Product Design, Infrastructure Architecture, Responsible AI, AI literacy, Data-Driven Decision-Making, Deep Learning
Anfänger · Kurs · 3–6 Monate

Kompetenzen, die Sie erwerben: Model Optimization, Cloud Security, Stakeholder Communications, Stakeholder Management, Stakeholder Engagement, Risking, Data Ethics, Data Governance, Data Security, Enterprise Architecture, Dashboard Creation, Executive Presence, Security Architecture Review, Professional Development, Data Management, Software Architecture, Application Deployment, Continuous Deployment, Incident Management, IT Automation
Mittel · Berufsbezogenes Zertifikat · 3–6 Monate