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

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

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

Coursera
Kompetenzen, die Sie erwerben: AI Security, Responsible AI, Threat Modeling, Governance Risk Management and Compliance, Compliance Management, Data Ethics, Data Governance, Model Evaluation, Reinforcement Learning, Risk Management, Prompt Engineering, Governance, Regulatory Compliance, Security Testing, MLOps (Machine Learning Operations), MITRE ATT&CK Framework, Continuous Monitoring, Ethical Standards And Conduct, Large Language Modeling, Vulnerability Assessments
★ 3.6 (12) · Mittel · Spezialisierung · 3–6 Monate

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), Feature Engineering, Model Optimization, Model Training, Workflow Management, Predictive Modeling
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

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

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

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 Training, Java Programming, Java, Feature Engineering, Statistical Machine Learning, Machine Learning Algorithms, Model Optimization, Deep Learning, Data Pipelines
Fortgeschritten · Kurs · 1–4 Wochen