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: 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, Vision Transformer (ViT), Prompt Engineering, PyTorch (Machine Learning Library), Model Deployment, Transfer Learning, Hugging Face, Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Cloud Deployment, Computer Vision, Generative AI, Image Analysis, Generative Model Architectures, LLM Application, Application Deployment, Model Training, Embeddings, Data Preprocessing
Mittel · Spezialisierung · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Model Deployment, Containerization, Application Deployment, MLOps (Machine Learning Operations), AI Orchestration, Docker (Software), Cloud Deployment, Kubernetes, Applied Machine Learning, Model Training, Distributed Computing, Cloud Computing, Scalability, Cloud Infrastructure
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

Coursera
Kompetenzen, die Sie erwerben: Data Ethics, Responsible AI, Compliance Auditing, Ethical Standards And Conduct, Compliance Management, Auditing, Technical Documentation, Case Studies, Project Documentation, Model Deployment, Auditors Report, Model Evaluation, Accountability Frameworks, MLOps (Machine Learning Operations), Accountability, Performance Metric
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Training, Applied Machine Learning, Model Optimization, Performance Analysis
Mittel · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: Integration von Daten, AI-Personalisierung, Google Cloud-Plattform, Anwendungsprogrammierschnittstelle (API), Datenerhebung, MLOps (Operationen für maschinelles Lernen), Daten importieren/exportieren, Bewertung des Modells, Modell-Einsatz, Kontinuierliche Überwachung, Modell Ausbildung, AI-Integrationen, Modellevaluation, Datenerfassung
Fortgeschritten · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Object Oriented Programming (OOP), Statistical Machine Learning, Object Oriented Design, Machine Learning Methods, Plot (Graphics), Data Visualization, Seaborn, Flask (Web Framework), Web Development, Computer Programming, Artificial Intelligence and Machine Learning (AI/ML), Programming Principles, Web Applications, Statistical Methods, Data Analysis Software, Back-End Web Development, Pandas (Python Package), Probability & Statistics, Application Development, Data Manipulation
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Model Evaluation, Data Preprocessing, JUnit, Model Training, Build Tools, MLOps (Machine Learning Operations), Java, Performance Tuning, Decision Tree Learning, Classification And Regression Tree (CART), Apache Maven, Data Structures, Random Forest Algorithm, Gradle, Data Pipelines, Software Architecture, Software Design, Object Oriented Programming (OOP), Apache, Machine Learning
Mittel · Spezialisierung · 3–6 Monate

Universidad Austral
Kompetenzen, die Sie erwerben: Natural Language Processing, MLOps (Machine Learning Operations), Application Lifecycle Management, Systems Architecture, Application Development, Algorithms, Software Architecture, Model Evaluation, Machine Learning Algorithms, Software Development Life Cycle, Model Deployment
Anfänger · 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

Coursera
Kompetenzen, die Sie erwerben: Model Optimization, Responsible AI, Risking, Data Ethics, MLOps (Machine Learning Operations), Model Deployment, System Monitoring, Model Evaluation, Performance Tuning, Compliance Management, Technology Roadmaps, Governance, Prompt Engineering, Machine Learning, Risk Management, Generative AI, Data-Driven Decision-Making, Performance Analysis, Statistical Analysis, Cross-Functional Collaboration
Mittel · Kurs · 3–6 Monate