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.
Starweaver
Kompetenzen, die Sie erwerben: Cyber Threat Hunting, Cyber Threat Intelligence, Threat Detection, Anomaly Detection, Splunk, Threat Management, Security Information and Event Management (SIEM), Jupyter, Cybersecurity, Unsupervised Learning, Data Analysis, Data Wrangling, Applied Machine Learning, Data Science, Cyber Attacks, Data Cleansing, Data Preprocessing, MLOps (Machine Learning Operations), Data Transformation, Automation
Mittel · Kurs · 1–3 Monate

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

Kompetenzen, die Sie erwerben: Google Cloud Platform, Model Deployment, Tensorflow, Kubernetes, Scalability, Cloud Deployment, Image Analysis, Applied Machine Learning, Model Training, Cloud Computing, MLOps (Machine Learning Operations), Cloud Management, Cloud Storage, Data Management
Mittel · Projekt · Weniger als 2 Stunden

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: Fine-tuning, CI/CD, Hugging Face, Continuous Deployment, Model Evaluation, Applied Machine Learning, Continuous Integration, Model Training, Transfer Learning, MLOps (Machine Learning Operations), Data Preprocessing, Model Deployment, Model Optimization, Data Pipelines, Natural Language Processing
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Solution Architecture, Systems Design, Architectural Drawing, Software Design, Artificial Intelligence and Machine Learning (AI/ML), Design Specifications, Dataflow, Data Store, Functional Specification, Diagram Design, Data Pipelines
Mittel · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Model Training, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Performance Metric, Machine Learning Algorithms, Regression Analysis, Continuous Monitoring, Statistical Methods
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: Risk Management, Risk Analysis, Risk Management Framework, Decision Making, Model Training, Continuous Deployment, Strategic Decision-Making, Operational Analysis, Release Management, Project Planning, Predictive Modeling, A/B Testing, Business Priorities, Algorithms, Experimentation, Applied Machine Learning, Advanced Analytics, Procedure Development, Product Planning, Product Development
Mittel · Kurs · 1–4 Wochen

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: MLOps (Machine Learning Operations), Google Cloud Platform, Model Training, Workflow Management, Model Deployment, Data Governance, Model Optimization, AI Workflows, Data Management, Data Store, Applied Machine Learning, Predictive Modeling, Metadata Management, Machine Learning, Model Evaluation, AI Orchestration
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Model Training, MLOps (Machine Learning Operations), Software Visualization, Dashboard Creation, Grafana, Code Reusability, Performance Metric, Data Pipelines, Performance Analysis, Collaborative Software
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