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.

Universidad Austral
Kompetenzen, die Sie erwerben: Web Scraping, Natural Language Processing, Data Integration, Data Processing, MLOps (Machine Learning Operations), Data Cleansing, Artificial Neural Networks, Tensorflow, Text Mining, Jupyter, Application Lifecycle Management, Pandas (Python Package), Systems Architecture, Analysis, Deep Learning, Application Development, Scripting, Algorithms, Data Transformation, Python Programming
Anfänger · Spezialisierung · 3–6 Monate

Duke University
Kompetenzen, die Sie erwerben: Sichere Kodierung, MLOps (Maschinelles Lernen Operations), Verantwortungsvolle KI, Bereitstellung von Anwendungen, Modellierung großer Sprachen, Amazon Webdienste, Datenethik, Generative KI, Cloud Computing, Amazonas-Felsen, Kontinuierliche Überwachung, Serverloses Rechnen, AWS SageMaker
Anfänger · Kurs · 1–4 Wochen
Kompetenzen, die Sie erwerben: Datengesteuerte Entscheidungsfindung, MLOps (Maschinelles Lernen Operations), Compliance Management, Verantwortungsvolle KI, Datenethik, Künstliche Intelligenz und Maschinelles Lernen (KI/ML), KI-Produktstrategie, Geschäftsethik, Business Lösungen, Maschinelles Lernen, Angewandtes maschinelles Lernen, Lösung Design, Projektdurchführung, Algorithmen für maschinelles Lernen
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Application Deployment, MLOps (Machine Learning Operations), Unit Testing, Docker (Software), Containerization, Kubernetes, IBM Cloud, Continuous Deployment, Microservices, User Feedback, Machine Learning, Performance Analysis, Responsible AI, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Continuous Monitoring, Data Science, Python Programming
Fortgeschritten · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, Application Deployment, IBM Cloud, Machine Learning, Containerization, Data Science, Python Programming, Performance Tuning, Scalability
Fortgeschritten · Kurs · 1–4 Wochen

Johns Hopkins University
Kompetenzen, die Sie erwerben: Responsible AI, AI Product Strategy, Stakeholder Management, Project Management, Project Risk Management, Data Ethics, Workforce Management, Risk Mitigation, Project Management Life Cycle, Agile Methodology, Artificial Intelligence, Team Management, MLOps (Machine Learning Operations), Team Building, Scalability, Budget Management
Mittel · Kurs · 1–4 Wochen

Macquarie University
Kompetenzen, die Sie erwerben: Anomaly Detection, Cyber Security Strategy, Cyber Threat Intelligence, Threat Detection, Intrusion Detection and Prevention, Fraud detection, Cybersecurity, Applied Machine Learning, Malware Protection, Threat Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Methods, Network Analysis, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, MLOps (Machine Learning Operations), Data-Driven Decision-Making
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Applied Machine Learning, Data Ethics, Machine Learning Methods, Scalability, Machine Learning, Distributed Computing, MLOps (Machine Learning Operations), Ethical Standards And Conduct, Microsoft Azure, Information Privacy
Mittel · Kurs · 1–4 Wochen

Starweaver
Kompetenzen, die Sie erwerben: Prompt Engineering, Generative AI Agents, Prompt Patterns, Generative AI, Agentic systems, AI Personalization, Kubernetes, Enterprise Application Management, ChatGPT, Containerization, Docker (Software), OpenAI, LangChain, Cloud Infrastructure, Scalability, System Monitoring, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Python Programming, Engineering
Mittel · Spezialisierung · 3–6 Monate

Johns Hopkins University
Kompetenzen, die Sie erwerben: Performance Metric, Artificial Intelligence, Strategic Leadership, Responsible AI, Strategic Decision-Making, Data Quality, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning, Algorithms, Artificial Neural Networks, Data Validation, Decision Tree Learning, Random Forest Algorithm, Resource Utilization, System Requirements
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), Natural Language Processing, Prompt Engineering, Deep Learning, MLOps (Machine Learning Operations), Application Deployment, Tensorflow, Machine Learning Methods, Continuous Monitoring, Data Cleansing, Machine Learning
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Prompt Engineering, AWS SageMaker, Artificial Intelligence, Large Language Modeling, AI Product Strategy, Amazon Web Services, Machine Learning, Business Technologies, MLOps (Machine Learning Operations), Business Solutions, Technology Strategies, Infrastructure Security, Compliance Management, Governance, Data Security
Mittel · Kurs · 1–3 Monate