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: Regression Testing, Debugging, Unit Testing, Test Case, Code Review, Root Cause Analysis, Software Documentation
Mittel · Kurs · 1–4 Wochen

Packt
Kompetenzen, die Sie erwerben: Model Deployment, Databricks, MLOps (Machine Learning Operations), Feature Engineering, Apache Spark, Model Training, Data Preprocessing, Applied Machine Learning, Data Lakes, Extract, Transform, Load, AI Workflows, Hugging Face, Data Pipelines, PySpark, Vector Databases, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Architecture, Machine Learning, Artificial Intelligence
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Sample Size Determination, Data Strategy, Sampling (Statistics), Analytical Skills, Data-Driven Decision-Making, Data Analysis, Analytics, Jupyter, Data Science, Statistical Analysis, Data Collection, Data Mining, Data Management, MLOps (Machine Learning Operations), Maintainability, Research and Design, Version Control, Software Documentation
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Systems Architecture, AI Workflows, Process Modeling, Model Based Systems Engineering, System Design and Implementation, Systems Analysis, Enterprise Modeling, Model Training, Diagram Design, Dataflow, MLOps (Machine Learning Operations), Requirements Management
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Generative AI, Google Cloud Platform, Generative AI Agents, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Prompt Engineering, Cloud Infrastructure, AI literacy, AI Workflows, Artificial Intelligence, Model Training, Machine Learning, Model Deployment
Anfänger · Kurs · 1–3 Monate

Packt
Kompetenzen, die Sie erwerben: Model Context Protocol, Docker (Software), Development Environment, LLM Application, Containerization, Large Language Modeling, Model Deployment, Hugging Face, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, OpenAI API, Application Deployment, Agentic Workflows, AI Integrations, Agentic systems, Jupyter
Mittel · Kurs · 1–3 Monate

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: MLOps (Machine Learning Operations), Google Cloud Platform, Model Training, Workflow Management, Model Deployment, Data Governance, Model Optimization, AI Workflows, Data Management, Data Store, Applied Machine Learning, Predictive Modeling, Metadata Management, Machine Learning, Model Evaluation, AI Orchestration
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Configuration Management, Experimentation, Software Documentation, Software Versioning, Software Configuration Management, Collaborative Software, Testability, Workflow Management, Development Environment
Mittel · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Model Training, Tensorflow, Machine Learning Methods, Model Evaluation, Systems Architecture, Model Optimization, Applied Machine Learning, Data Validation, Distributed Computing, Performance Tuning, Data Pipelines, Scalability, Hybrid Cloud Computing, Dependency Analysis
Fortgeschritten · Kurs · 1–3 Monate
Coursera
Kompetenzen, die Sie erwerben: LLM Application, Model Deployment, CI/CD, Amazon CloudWatch, Infrastructure as Code (IaC), Application Deployment, Cloud Deployment, DevSecOps, Enterprise Security, DevOps, Docker (Software), AI Security, Cloud Management, System Monitoring
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Evaluation, Key Performance Indicators (KPIs), Business Metrics, Performance Analysis, Apache Airflow, Performance Measurement, Responsible AI, Test Execution Engine, Performance Metric, Test Automation, Verification And Validation, Content Performance Analysis, Automation, Statistical Methods, Quality Assessment, Gap Analysis, Cost Benefit Analysis, Research Design, Quantitative Research
Mittel · Kurs · 1–4 Wochen