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.

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Training, Model Deployment, Model Optimization, Test Data, Model Evaluation, Data Synthesis, Development Environment, Claims Processing, Application Deployment, Record Keeping, Computer Hardware
Anfänger · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: CI/CD, MLOps (Machine Learning Operations), Apache Airflow, Google Cloud Platform, Data Pipelines, Model Deployment, Tensorflow, Continuous Deployment, AI Workflows, Metadata Management, Model Training, Model Optimization, AI Orchestration, Data Preprocessing, Model Evaluation
Fortgeschritten · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Model Evaluation, Model Training, Model Optimization, Model Deployment, Data Preprocessing, AI Workflows, Fine-tuning, Classification Algorithms
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Google Cloud Platform, Generative AI, Model Deployment, LLM Application, Cloud Management, Model Training, Cloud Computing, CI/CD, Model Optimization, Cloud Deployment, Model Evaluation, Apache Airflow, AI Workflows, Continuous Integration
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Training, Data Integrity, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability & Statistics
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Modell-Optimierung, Daten-Pipelines, Prompt-Muster, MLOps (Operationen für maschinelles Lernen), Kontinuierliche Überwachung, Datenvorverarbeitung, Schnelles Engineering, Modell Ausbildung, Cloud-Bereitstellung, Abruf-erweiterte Erzeugung, Bewertung des Modells, Modellevaluation, Feinabstimmung, AI-Arbeitsabläufe, Microsoft Azure, Prompt Engineering Tools, Vorverarbeitung von Daten, Modell-Einsatz
Mittel · Kurs · 1–4 Wochen
Kompetenzen, die Sie erwerben: Containerization, LangChain, Microservices, Application Deployment, Cloud Deployment, Docker (Software), Cloud-Native Computing, Model Deployment, Kubernetes, LLM Application, MLOps (Machine Learning Operations), AI Orchestration, AI Integrations, Distributed Computing, Site Reliability Engineering, Prometheus (Software), API Design, Scalability, Continuous Monitoring, Performance Stress Testing
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Feature Engineering, Model Evaluation, Model Training, Model Deployment, Model Optimization, Data Preprocessing, Performance Analysis, Machine Learning Methods, Data Pipelines, Analysis, Data Transformation, Technical Writing
Mittel · Kurs · 1–4 Wochen

Packt
Kompetenzen, die Sie erwerben: Retrieval-Augmented Generation, LLM Application, Large Language Modeling, MLOps (Machine Learning Operations), Fine-tuning, Model Deployment, Extract, Transform, Load, Data Pipelines, Model Optimization, Data Processing, CI/CD, Model Evaluation
Anfänger · Kurs · 1–3 Monate

Board Infinity
Kompetenzen, die Sie erwerben: Responsible AI, MLOps (Machine Learning Operations), Data Preprocessing, Model Deployment, Data Ethics, Apache Mahout, AI Security, Applied Machine Learning, Classification Algorithms, CI/CD, Java, Continuous Deployment, Java Programming, Machine Learning Software, Jenkins, Deep Learning, Machine Learning, Spring Boot, Natural Language Processing, Reinforcement Learning
Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Deployment, Model Training, Responsible AI, Power BI, Microsoft Azure, Image Analysis, Data Visualization Software, Data Presentation, Dashboard Creation, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Health Equity, Medical Imaging, Predictive Analytics, Azure Synapse Analytics, Predictive Modeling, AI Workflows, Model Evaluation
Mittel · Kurs · 1–4 Wochen
Kompetenzen, die Sie erwerben: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Model Training, Application Deployment, AI Workflows, Model Evaluation, Real Time Data, Engineering
Mittel · Kurs · 1–4 Wochen