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.

Google Cloud
Kompetenzen, die Sie erwerben: Data Infrastructure, Model Deployment, Data Processing, Data Pipelines
Mittel · Kurs · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Application Performance Management, System Monitoring, Model Deployment, Model Evaluation, Continuous Monitoring, Performance Tuning, Process Optimization, Anomaly Detection, Artificial Intelligence and Machine Learning (AI/ML), Root Cause Analysis, Performance Metric, Performance Analysis
Anfänger · Kurs · 1–4 Wochen

Coursera
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Sample Size Determination, Data Strategy, Analytical Skills, Data-Driven Decision-Making, Data Analysis, Analytics, Jupyter, Data Science, Statistical Analysis, Data Collection, Data Mining, Data Management, MLOps (Machine Learning Operations), Research and Design, Version Control, Software Documentation
Mittel · Kurs · 1–4 Wochen
Kompetenzen, die Sie erwerben: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Supervised Learning, Decision Tree Learning, Probability & Statistics, Statistics, Machine Learning Software, Classification And Regression Tree (CART), Workflow Management, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Applied Machine Learning
Fortgeschritten · Berufsbezogenes Zertifikat · 3–6 Monate

Kompetenzen, die Sie erwerben: Snowflake Schema, Model Deployment, Data Pipelines, Pandas (Python Package), Data Import/Export, Data Transformation, Large Language Modeling, Data Processing, Containerization, Python Programming, MLOps (Machine Learning Operations), Application Deployment, Application Development, Data Science, Cloud Computing, SQL, Data Analysis, Machine Learning
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Infrastructure as Code (IaC), Scripting, Cloud Deployment, Data Persistence, Python Programming, Command-Line Interface, Virtual Machines, Data Pipelines
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: LangChain, LLM Application, Prompt Engineering, API Design, MLOps (Machine Learning Operations), Large Language Modeling, Performance Tuning, Microservices, Application Deployment, Kubernetes, Scalability, Site Reliability Engineering, DevOps, CI/CD, Docker (Software), Python Programming, Containerization, System Monitoring, Cloud Platforms, Security Controls
Mittel · Spezialisierung · 3–6 Monate

Board Infinity
Kompetenzen, die Sie erwerben: Hugging Face, Model Evaluation, Embeddings, Transfer Learning, Recurrent Neural Networks (RNNs), Model Deployment, Data Preprocessing, Performance Tuning
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: System Monitoring, Dashboard, Application Performance Management, Site Reliability Engineering, Continuous Monitoring, Event Monitoring, Performance Tuning, Performance Metric, Service Level, Generative AI, MLOps (Machine Learning Operations), Business Metrics, Analysis, Service Level Agreement, Distributed Computing, Incident Management, Real Time Data, Data Integration
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Generative Model Architectures, ChatGPT, Semantic Web
Mittel · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: LangGraph, AI Orchestration, LangChain, LLM Application, Agentic Workflows, Generative AI Agents, MLOps (Machine Learning Operations), Context Management, Distributed Computing, Software Design Patterns
Mittel · Kurs · 1–4 Wochen