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.

Duke University
Kompetenzen, die Sie erwerben: Modell-Einsatz, Datenanalyse, Bewertung des Modells, Cloud-Bereitstellung, Angewandtes maschinelles Lernen, AWS SageMaker, Daten-Pipelines, MLOps (Operationen für maschinelles Lernen), Technische Merkmale, Python-Programmierung, Amazon Web Services, Modell Ausbildung, Vorverarbeitung von Daten, Serverloses Rechnen, Maschinelles Lernen, Explorative Datenanalyse, Microsoft Azure, Methoden des maschinellen Lernens
★ 3.6 (61) · Fortgeschritten · Kurs · 1–3 Monate

Board Infinity
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Deployment, LLM Application, Application Deployment, Model Training, AI Workflows, AI Security, Retrieval-Augmented Generation, Scalability, CI/CD, Model Evaluation, Containerization, Continuous Monitoring, Software Versioning, Incident Response
Mittel · Kurs · 1–4 Wochen

LearnKartS
Kompetenzen, die Sie erwerben: Prompt Engineering, Responsible AI, Prompt Engineering Tools, Computer Vision, Model Optimization, Generative Model Architectures, Machine Learning Methods, AI Workflows, Machine Learning Algorithms, Applied Machine Learning, Artificial Intelligence, Model Training, Cloud Security, Amazon Elastic Compute Cloud, Embeddings, Data Security, Data Governance, Governance, Deep Learning, Data Wrangling
★ 4.3 (16) · Anfänger · Spezialisierung · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: Apache Airflow, MLOps (Machine Learning Operations), Fine-tuning, User Acceptance Testing (UAT), Prompt Patterns, LLM Application, AI Security, Extract, Transform, Load, Scripting, Technical Communication, SQL, Model Optimization, Data Pipelines, Data Presentation, Large Language Modeling, Python Programming, Performance Tuning, Root Cause Analysis, Statistical Analysis, Version Control
Mittel · Spezialisierung · 3–6 Monate

Board Infinity
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Deployment, DevOps, CI/CD, Containerization, Application Deployment, Cloud Deployment, Continuous Integration, Continuous Deployment, Docker (Software), Model Training, Model Evaluation, Restful API, Version Control, API Testing, Application Programming Interface (API), GitHub, Automation
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, DevOps, Cloud Deployment, Automation
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Prompt Engineering, Generative AI, Generative AI Agents, Model Deployment, Retrieval-Augmented Generation, MLOps (Machine Learning Operations), OpenAI, Azure DevOps Pipelines, Incident Response, Incident Management, AI Orchestration, Agentic systems, Safety Assurance, Fine-tuning, Expense Management, Responsible AI, Operational Excellence, CI/CD, LinkedIn, GitHub
Mittel · Berufsbezogenes Zertifikat · 3–6 Monate

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

Kompetenzen, die Sie erwerben: API Design, MLOps (Machine Learning Operations), Fine-tuning, OAuth, Model Deployment, Application Programming Interface (API), Technical Communication, Model Training, AI Integrations, Model Evaluation, Vision Transformer (ViT), Model Optimization, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Solution Architecture, Machine Learning, Data Architecture, Machine Learning Algorithms, Data Science
Mittel · Kurs · 3–6 Monate

Kompetenzen, die Sie erwerben: OAuth, Unit Testing, Apache Airflow, Fine-tuning, Model Evaluation, Data Validation, API Design, Test Driven Development (TDD), Data Integrity, Extract, Transform, Load, Multimodal Prompts, Natural Language Processing, MLOps (Machine Learning Operations), Model Optimization, OpenAI API, Data Presentation, Hugging Face, Analysis, CI/CD, Tensorflow
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Deployment, Redis, Microsoft Azure, Performance Stress Testing, Model Training, Microservices, Continuous Deployment, CI/CD, Systems Architecture, Application Performance Management, Performance Testing, Application Deployment, Data Pipelines, Scalability, Machine Learning, Transaction Processing, Cloud Computing, Data Science, Information Technology
Fortgeschritten · Kurs · 1–3 Monate

Google Cloud
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), AI Orchestration, AI Workflows, Google Cloud Platform, Forecasting, Automation
Mittel · Kurs · 1–3 Monate