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.

Whizlabs
Kompetenzen, die Sie erwerben: Supervised Learning, Unsupervised Learning, MLOps (Machine Learning Operations), Model Optimization, Applied Machine Learning, Machine Learning Methods, Model Evaluation, Model Training, Data Preprocessing, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Machine Learning Algorithms, Model Deployment, Microsoft Azure, Amazon Web Services, Cloud Solutions, Deep Learning, Data Processing
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Feature Engineering, Data Pipelines, Apache Airflow, MLOps (Machine Learning Operations), Service Level, AI Orchestration, Data Store, Data Transformation, Change Control, Key Performance Indicators (KPIs)
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Anomaly Detection, MLOps (Machine Learning Operations), Event Monitoring, Continuous Monitoring, System Monitoring, Unsupervised Learning, Model Evaluation, Threat Detection, Statistical Analysis, Model Optimization, Statistical Hypothesis Testing, Trend Analysis, Real Time Data, Statistical Methods, Time Series Analysis and Forecasting
Mittel · Kurs · 1–4 Wochen

KodeKloud
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Apache Kafka, Apache Airflow, Apache Spark, Extract, Transform, Load, Data Lakes, Data Pipelines, Distributed Computing, Real Time Data, DevOps, Data Processing, Feature Engineering, CI/CD, Pandas (Python Package), Continuous Integration
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Evaluation, Model Training, Model Deployment, Version Control, Large Language Modeling, Predictive Modeling, Data Management, Dashboard, Interactive Data Visualization, Machine Learning, Record Keeping, Performance Analysis
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: CI/CD, Continuous Deployment, Continuous Delivery, DevOps, Containerization, Performance Analysis, Performance Metric, Performance Measurement, Artificial Intelligence, Application Performance Management, Operational Analysis, Conversion Funnel Analysis, Continuous Monitoring, Root Cause Analysis
Mittel · Kurs · 1–4 Wochen

Board Infinity
Kompetenzen, die Sie erwerben: Maschinelles Lernen, Java Programmierung, Spring Boot, Java, Künstliche Intelligenz, Spring Framework, Angewandtes maschinelles Lernen, Reinforcement Learning, Verantwortungsvolle AI, MLOps (Operationen für maschinelles Lernen), CI/CD, Java-Programmierung, AI-Sicherheit, Jenkins, Kontinuierliche Bereitstellung, Föderiertes Lernen, Daten-Ethik, Modell-Einsatz, Management von Unternehmensanwendungen
Mittel · Kurs · 1–4 Wochen

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Databricks, Apache Spark, Model Evaluation, Hugging Face, Data Architecture, Recurrent Neural Networks (RNNs), LLM Application, Data Science, Data Mining, Mathematical Modeling, Scala Programming, Continuous Monitoring, Rust (Programming Language), Lean Six Sigma, Statistical Inference, Artificial Intelligence, Functional Testing, Exploratory Data Analysis, Programming Principles
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: LLM Application, MLOps (Machine Learning Operations), Large Language Modeling, Data Processing, Model Deployment, AI Workflows, Model Training, Responsible AI, Model Optimization, Generative AI, Scalability, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Continuous Monitoring, Artificial Intelligence, Data Collection
Fortgeschritten · Kurs · 1–3 Monate

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
Kompetenzen, die Sie erwerben: Model Training, Java Programming, Java, Feature Engineering, Machine Learning Methods, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Data Pipelines
Fortgeschritten · Kurs · 1–4 Wochen

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