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: Model Training, Applied Machine Learning, Model Optimization, Performance Analysis
Mittel · Kurs · 1–4 Wochen

Universidad Austral
Kompetenzen, die Sie erwerben: Natural Language Processing, MLOps (Machine Learning Operations), Application Lifecycle Management, Systems Architecture, Application Development, Algorithms, Software Architecture, Model Evaluation, Machine Learning Algorithms, Software Development Life Cycle, Model Deployment
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Optimization, Cloud Security, Stakeholder Communications, Stakeholder Management, Stakeholder Engagement, Risking, Data Ethics, Data Governance, Data Security, Enterprise Architecture, Dashboard Creation, Executive Presence, Security Architecture Review, Professional Development, Data Management, Software Architecture, Application Deployment, Continuous Deployment, Incident Management, IT Automation
Mittel · Berufsbezogenes Zertifikat · 3–6 Monate

Kompetenzen, die Sie erwerben: Apache Airflow, AI Workflows, MLOps (Machine Learning Operations), Multi-Tenant Cloud Environments, Data Pipelines, Workflow Management, Business Workflow Analysis, Cloud Deployment, Application Deployment, CI/CD, Data Migration, Devops Tools, Cloud Platforms, DevOps, Configuration Management, Python Programming, Scalability, Performance Tuning
Mittel · Kurs · 3–6 Monate

Kompetenzen, die Sie erwerben: Fine-tuning, Vision Transformer (ViT), Prompt Engineering, PyTorch (Machine Learning Library), Model Deployment, Transfer Learning, Hugging Face, Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Cloud Deployment, Computer Vision, Generative AI, Image Analysis, Generative Model Architectures, LLM Application, Application Deployment, Model Training, Embeddings, Data Preprocessing
Mittel · Spezialisierung · 1–4 Wochen

Kompetenzen, die Sie erwerben: Google Cloud Platform, Unstructured Data, Tensorflow, MLOps (Machine Learning Operations), Model Deployment, Applied Machine Learning, Jupyter, Transfer Learning, Model Training, Data Pipelines, Machine Learning, Artificial Intelligence
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Scalability, Dashboard, Kubernetes, Capacity Management, Analysis, Performance Tuning, MLOps (Machine Learning Operations), Scenario Testing, Memory Management, Continuous Monitoring
Mittel · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Google Cloud Platform, Model Training, Model Deployment, AI Workflows, Workflow Management, Enterprise Modeling, Model Optimization, Data Pipelines, Data Preprocessing, Machine Learning Methods, Applied Machine Learning, Data Processing, Machine Learning, Predictive Modeling, Model Evaluation, Data Management, Metadata Management
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Model Deployment, Model Optimization, Model Training, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), AI Workflows, System Monitoring, Machine Learning Methods, Real Time Data, Continuous Monitoring, Applied Machine Learning, Data Preprocessing, Artificial Intelligence, Machine Learning
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Anomaly Detection, MLOps (Machine Learning Operations), AI Security, Software Engineering, Model Training, DevOps, Software Quality Assurance, Maintainability, CI/CD, Model Deployment, Performance Tuning, Security Testing, Model Evaluation, Secure Coding, Performance Testing, Continuous Monitoring, Integration Testing, Sampling (Statistics), Data Validation, Python Programming
Mittel · Kurs · 1–3 Monate

Google Cloud
Kompetenzen, die Sie erwerben: Generative AI Agents, Google Cloud Platform, Generative AI, Google Gemini, Generative Model Architectures, MLOps (Machine Learning Operations), Cloud Infrastructure, Prompt Engineering, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Model Training, Artificial Intelligence, No-Code Development, Data Preprocessing, Machine Learning
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Microsoft Azure, Datenwissenschaft, Maschinelles Lernen, MLOps (Operationen für maschinelles Lernen), Azure Synapse-Analytik, Apache Spark, Künstliche Intelligenz und maschinelles Lernen (AI/ML), Datenverwaltung, Angewandtes maschinelles Lernen, Statistische Methoden, Modell-Einsatz, Datenmanagement, Statistische Modellierung, Datenvorverarbeitung, Modell Ausbildung, Cloud Computing, Vorverarbeitung von Daten, Datenverarbeitung, Datenspeicher, Entwicklungsumgebung
Mittel · Kurs · 1–4 Wochen