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.

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

Coursera
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Optimization, Version Control, Model Deployment, CI/CD, Git (Version Control System), Continuous Deployment, Performance Tuning, Continuous Integration, Software Versioning, Release Management, Continuous Delivery, Performance Testing, PyTorch (Machine Learning Library), Test Automation, Performance Improvement
Mittel · Kurs · 1–4 Wochen

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

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

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: Model Evaluation, MLOps (Machine Learning Operations), AI Workflows, Applied Machine Learning, Model Optimization, Data Pipelines, Responsible AI, Statistical Modeling
Mittel · Kurs · 1–4 Wochen

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: 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: Data Preprocessing, Data Cleansing, Data Pipelines, Feature Engineering, Data Quality, MLOps (Machine Learning Operations), Extract, Transform, Load, Data Transformation, Data Integration, Dataflow, Development Environment, Data Wrangling, Apache Airflow, Package and Software Management, Git (Version Control System), Quality Assurance, Exploratory Data Analysis, Cost Management, Resource Utilization, Virtual Environment
Mittel · Kurs · 1–3 Monate

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

Kompetenzen, die Sie erwerben: Model Optimization, Cloud Computing Architecture, Cloud Management, Model Training, Cloud Infrastructure, Distributed Computing, Data Pipelines, Managed Services, Cost Management, Cost Benefit Analysis
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Data Integrity, Verification And Validation, Record Keeping, Reconciliation, Debugging, Auditing
Mittel · Kurs · 1–4 Wochen