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.

Google Cloud
Kompetenzen, die Sie erwerben: Google Cloud Platform, CI/CD, MLOps (Machine Learning Operations), Data Pipelines, Tensorflow, Continuous Deployment, Model Deployment, Model Training, Metadata Management, AI Orchestration, PyTorch (Machine Learning Library)
Fortgeschritten · Kurs · 1–3 Monate
Starweaver
Kompetenzen, die Sie erwerben: Cyber Threat Hunting, Splunk, Threat Detection, Jupyter, Anomaly Detection, Threat Management, Cybersecurity, Data Analysis, Data Science, Data Wrangling, Applied Machine Learning, Security Information and Event Management (SIEM), Data Cleansing, Data Transformation, Data Preprocessing, MLOps (Machine Learning Operations), Unsupervised Learning, Automation
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Cloud Management, Patch Management, MLOps (Machine Learning Operations), Data Governance, Incident Management, Ansible, IT Automation, Data Management, Metadata Management, Site Reliability Engineering, Automation, Compliance Management, Continuous Monitoring, Cost Management, System Monitoring, Predictive Modeling, Forecasting, Cloud Computing, Financial Management, Data Quality
Mittel · Kurs · 1–3 Monate
Kompetenzen, die Sie erwerben: API Design, Application Programming Interface (API), Cloud API, AI Security, Cloud Management, Security Controls, Application Performance Management, Load Balancing, Incident Response, MLOps (Machine Learning Operations), GitHub, Python Programming, Machine Learning
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: AI Security, Ansible, Patch Management, MLOps (Machine Learning Operations), Generative AI, System Monitoring, Incident Response, Incident Management, Continuous Monitoring, IT Automation, Disaster Recovery, Automation, Predictive Analytics
Mittel · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Model Optimization, Model Deployment, MLOps (Machine Learning Operations), Tensorflow, Performance Analysis, Applied Machine Learning
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Fine-tuning, Model Optimization, Model Deployment, Model Training, PyTorch (Machine Learning Library), Transfer Learning, Performance Tuning, Debugging, MLOps (Machine Learning Operations), Deep Learning, Scalability, Artificial Neural Networks
Mittel · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Unit Testing, Test Driven Development (TDD), Continuous Integration, CI/CD, Software Testing, Continuous Deployment, Testability, Test Script Development, Model Training, MLOps (Machine Learning Operations), Tensorflow, Maintainability, Applied Machine Learning, Software Engineering, Code Reusability, Machine Learning Methods, Python Programming
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Snowflake Schema, Model Deployment, Data Pipelines, Pandas (Python Package), Data Import/Export, Data Transformation, Data Manipulation, Large Language Modeling, Data Processing, Containerization, Python Programming, MLOps (Machine Learning Operations), Application Deployment, Application Development, Data Science, Data Preprocessing, Cloud Computing, SQL, Model Training, Machine Learning
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Model Optimization, Model Training, Dataflow, AI Workflows, Application Performance Management, Data Pipelines, MLOps (Machine Learning Operations), Data Flow Diagrams (DFDs), Graph Theory, Data Processing, Data Manipulation
Mittel · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Model Optimization, MLOps (Machine Learning Operations), Application Performance Management, System Monitoring, Continuous Monitoring, AI Integrations, Performance Tuning, Anomaly Detection, Machine Learning, Dependency Analysis
Anfänger · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Vector Databases, Performance Tuning, Data Migration, Data Infrastructure, Infrastructure Architecture, Data Integrity, Scalability, Embeddings, Data Import/Export, Data Engineering, Database Management, MLOps (Machine Learning Operations), Scripting, Data Pipelines
Mittel · Kurs · 1–4 Wochen