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.

Board Infinity
Kompetenzen, die Sie erwerben: Hugging Face, Model Evaluation, Model Optimization, Embeddings, Transfer Learning, LLM Application, Model Training, Recurrent Neural Networks (RNNs), Generative Model Architectures, Fine-tuning, Model Deployment, Data Preprocessing
Mittel · Kurs · 1–4 Wochen

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

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, Business Risk Management
Mittel · Kurs · 1–4 Wochen

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: Data Management, Data Governance, Metadata Management, Model Deployment, MLOps (Machine Learning Operations), Model Training, Model Optimization, Model Evaluation, AI Workflows, Forecasting, Google Cloud Platform, Enterprise Modeling, Workflow Management, Data Preprocessing, Machine Learning Methods, Data Pipelines, Predictive Analytics, Predictive Modeling, Machine Learning, Feature Engineering
Mittel · Kurs · 1–3 Monate
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

Google Cloud
Kompetenzen, die Sie erwerben: Google Cloud Platform, Google Gemini, MLOps (Machine Learning Operations), Generative AI, Generative AI Agents, Cloud Infrastructure, AI Workflows, Artificial Intelligence, Prompt Engineering, Natural Language Processing, Applied Machine Learning, Large Language Modeling, Agentic Workflows, Model Deployment, Model Training, Machine Learning, Data Preprocessing, Model Evaluation
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Microservices, MLOps (Machine Learning Operations), Application Performance Management, AI Integrations, Site Reliability Engineering, AI Workflows, Continuous Monitoring, Performance Analysis, Event-Driven Programming
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Verification And Validation, Release Management, Maintainability, Experimentation, Performance Testing, Benchmarking, Performance Analysis
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Retrieval-Augmented Generation, Model Deployment, Kubernetes, Containerization, LLM Application, Cloud-Native Computing, Application Deployment, Large Language Modeling, Release Management, MLOps (Machine Learning Operations), Configuration Management, Continuous Delivery, Scalability, Application Performance Management, Performance Tuning, Performance Analysis, Systems Analysis, Analysis, Data-Driven Decision-Making
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: AI Integrations, Generative Model Architectures, Requirements Analysis, Solution Design, Functional Requirement, Business Requirements, Scalability, Systems Integration
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: AI Integrations, Continuous Deployment, System Monitoring, API Testing, Middleware, Restful API, Site Reliability Engineering, Machine Learning
Mittel · Kurs · 1–4 Wochen