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 Optimization, Model Training, Dataflow, AI Workflows, Application Performance Management, Data Pipelines, MLOps (Machine Learning Operations), Data Flow Diagrams (DFDs), Graph Theory, Data Processing, Data Manipulation
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Site Reliability Engineering, Scalability, Performance Analysis, Event Monitoring, Service Level Agreement, Dashboard Creation, Performance Review
Mittel · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Training, Model Deployment, Data Preprocessing, Data Management, Data Governance, Information Management, Data Processing, Data Wrangling, AI Workflows, Model Optimization, Applied Machine Learning, Google Cloud Platform, Machine Learning Methods, Data Pipelines, Model Evaluation, AI Orchestration, Machine Learning, Containerization
Mittel · 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
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

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

Google Cloud
Kompetenzen, die Sie erwerben: Big Data, Analytics, Data Analysis, Applied Machine Learning, Model Training, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Google Cloud Platform, Model Deployment, Machine Learning
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Deployment, AWS SageMaker, MLOps (Machine Learning Operations), Image Analysis, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Model Training, Deep Learning, AI Personalization, Cloud Solutions, Artificial Intelligence, Model Evaluation, Applied Machine Learning, AI Integrations, Computer Vision, Machine Learning, Feature Engineering, Text Mining, Data Wrangling
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Training, MLOps (Machine Learning Operations), Software Visualization, Grafana, Code Reusability, Performance Metric, Data Pipelines, Performance Analysis, Collaborative Software
Mittel · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Model Training, Tensorflow, Machine Learning Methods, Model Evaluation, Systems Architecture, Model Optimization, Applied Machine Learning, Data Validation, Distributed Computing, Performance Tuning, Data Pipelines, Scalability, Hybrid Cloud Computing, Dependency Analysis
Fortgeschritten · Kurs · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: Model Training, Model Deployment, MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning Methods, Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Feature Engineering, Statistical Machine Learning, Responsible AI, Regression Analysis, Classification Algorithms, Continuous Monitoring
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Supervised Learning, Model Optimization, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Methods, Statistical Machine Learning, Machine Learning Algorithms, Predictive Modeling, Model Training, Data Preprocessing, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Data Transformation, Fine-tuning
Fortgeschritten · Kurs · 1–3 Monate