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: 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

Kompetenzen, die Sie erwerben: Solution Architecture, Systems Design, Architectural Drawing, Software Design, Artificial Intelligence and Machine Learning (AI/ML), Design Specifications, Dataflow, Data Store, Functional Specification, Diagram Design, Data Pipelines
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Apache Airflow, Data Governance, Data Management, Apache Spark, PySpark, Databricks, Record Keeping
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Deployment, MLOps (Machine Learning Operations), AI Orchestration, Dependency Analysis, Application Deployment, Continuous Deployment, Generative AI, Release Management, Regression Testing, Verification And Validation, Site Reliability Engineering, AI Workflows, CI/CD, Model Evaluation, Continuous Delivery, Data-Driven Decision-Making, Application Performance Management, Software Technical Review, System Requirements
Mittel · Kurs · 1–4 Wochen
Coursera
Kompetenzen, die Sie erwerben: Model Evaluation, MLOps (Machine Learning Operations), Classification Algorithms, Model Deployment, Machine Learning Software, Applied Machine Learning, Machine Learning Algorithms, Java, Software Design Patterns, Data-Driven Decision-Making, Logistic Regression, Business Metrics, Benchmarking, Decision Tree Learning, Matrix Management, Business
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Optimization, Cloud Computing Architecture, Cloud Management, Model Training, Cloud Infrastructure, Distributed Computing, Data Pipelines, Managed Services, Cost Management, Cost Benefit Analysis
Mittel · Kurs · 1–4 Wochen

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: 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
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Deployment, Containerization, Model Optimization, Performance Tuning, Memory Management, Docker (Software), Java, Java Programming, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Data Structures
Fortgeschritten · 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

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: Threat Modeling, Data Visualization, Data Presentation, AI Security, Interactive Data Visualization, A/B Testing, Threat Management, Open Web Application Security Project (OWASP), Secure Coding, Application Security, Responsible AI, System Monitoring, MLOps (Machine Learning Operations), Analytics, Data Governance, Application Programming Interface (API), Vulnerability Assessments, Cyber Governance, Data Processing, Data Management
Mittel · Kurs · 1–3 Monate