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: Amazon Webdienste, Rollenbasierte Zugriffskontrolle (RBAC), Öffentliche Wolke, Governance, AWS Identitäts- und Zugriffsverwaltung (IAM), Verschlüsselung, KI-Kenntnisse, Generative KI, Künstliche Intelligenz, Identitäts- und Zugangsmanagement, Verantwortungsvolle AI, MLOps (Operationen für maschinelles Lernen), Datensicherheit, AI-Sicherheit, Das Risiko, Daten-Ethik, Daten-Governance, Datenverwaltung, Amazon Web Services, AWS SageMaker, Cloud-Sicherheit
★ 4.7 (7) · Mittel · Kurs · 1–4 Wochen

Universidad Austral
Kompetenzen, die Sie erwerben: Natural Language Processing, MLOps (Machine Learning Operations), Application Lifecycle Management, Systems Architecture, Application Development, Algorithms, Software Architecture, Model Evaluation, Machine Learning Algorithms, Software Development Life Cycle, Model Deployment
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Agentic Workflows, Technical Communication, Agentic systems, Artificial Intelligence and Machine Learning (AI/ML), AI Security, Professional Development, Generative AI Agents, MLOps (Machine Learning Operations), Technical Documentation, Coaching, Technical Writing, Portfolio Management, Project Documentation, Problem Solving, Communication Strategies, GitHub
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Google Cloud Platform, Google Gemini, Generative AI Agents, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Gemini, Cloud Infrastructure, MLOps (Machine Learning Operations), Prompt Patterns, Applied Machine Learning, Agentic Workflows, AI Orchestration, AI Workflows, Artificial Intelligence, Data Infrastructure, Big Data, Agentic systems, Cloud Storage, Large Language Modeling, Machine Learning Methods
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Model Optimization, Model Deployment, AI Workflows, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Version Control
Mittel · Kurs · 1–4 Wochen
Starweaver
Kompetenzen, die Sie erwerben: Cyber Threat Hunting, Splunk, Threat Detection, Jupyter, Anomaly Detection, Threat Management, Cybersecurity, Data Analysis, Data Science, Data Wrangling, Applied Machine Learning, Security Information and Event Management (SIEM), Data Cleansing, Data Transformation, Data Preprocessing, MLOps (Machine Learning Operations), Unsupervised Learning, Automation
Mittel · Kurs · 1–3 Monate

Google Cloud
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Training, Enterprise Modeling, Google Cloud Platform, AI Workflows, Workflow Management, Model Deployment, Model Optimization, Data Preprocessing, Tensorflow, Data Pipelines, Applied Machine Learning, Data Store, Model Evaluation, Machine Learning, Data Management
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Transfer Learning, Model Training, Model Optimization, Image Quality, Computer Vision, Image Analysis, Data Pipelines, Data Transformation, Data Manipulation, Exploratory Data Analysis, Artificial Intelligence and Machine Learning (AI/ML)
Mittel · Kurs · 1–4 Wochen
Kompetenzen, die Sie erwerben: Embeddings, Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Data Cleansing, Anomaly Detection, Vector Databases, LLM Application, System Monitoring, Verification And Validation, Data Quality, Legal Technology, Semantic Web, Large Language Modeling, Data Validation, Continuous Monitoring, Performance Testing, Data Manipulation, Dimensionality Reduction, Cost Reduction
Mittel · Kurs · 1–4 Wochen

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

Kompetenzen, die Sie erwerben: Diagram Design, Unified Modeling Language, Cloud Deployment, Model Deployment, Information Privacy, MLOps (Machine Learning Operations), Application Programming Interface (API), AI Product Strategy, Analysis, Data Pipelines, Cloud API, Feature Engineering, Cost Management, Performance Analysis, Business Risk Management
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Deployment, MLOps (Machine Learning Operations), Model Training, Model Evaluation, Machine Learning Software, Process Modeling, Workflow Management, Predictive Modeling, Governance Risk Management and Compliance, Applied Machine Learning, SAS (Software), Text Mining, R Programming, Performance Analysis, Scheduling
Mittel · Kurs · 1–4 Wochen