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), Data Validation, Model Deployment, Test Driven Development (TDD), Apache Airflow, Data Pipelines, Containerization, Extract, Transform, Load, Kubernetes, Model Training, Data Integrity, Model Optimization, Cloud-Native Computing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Artificial Intelligence, Artificial Neural Networks, Machine Learning Algorithms, Natural Language Processing, Algorithms
Mittel · Kurs · 3–6 Monate

Google Cloud
Kompetenzen, die Sie erwerben: Model Evaluation, Generative AI, Generative Model Architectures, Google Cloud Platform, Model Optimization, MLOps (Machine Learning Operations), Continuous Monitoring
Mittel · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Deployment, Data Store, Data Preprocessing, Feature Engineering, Metadata Management, Data Processing, Data Modeling, Data Management, Data Storage, Data Import/Export, AI Workflows
Mittel · Kurs · 1–4 Wochen

Duke University
Kompetenzen, die Sie erwerben: Kontinuierliche Lieferung, Cloud-Technik, MLOps (Operationen für maschinelles Lernen), Computer Vision, Künstliche Intelligenz, Maschinelles Lernen, Software-Entwicklung, Verarbeitung natürlicher Sprache, Cloud-Anwendungen, Cloud-Bereitstellung, Cloud-API, Angewandtes maschinelles Lernen, Microsoft Azure, AI-Arbeitsabläufe, Google Cloud-Plattform, Anwendungsprogrammierschnittstelle (API), Cloud-Entwicklung, Softwaretechnik, Flask (Web-Framework), Modell-Einsatz
★ 4.5 (92) · Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Evaluation, Generative AI, Continuous Monitoring, Model Optimization, MLOps (Machine Learning Operations), Data Quality
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
★ 3.5 (13) · Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Technical Communication, MLOps (Machine Learning Operations), Machine Learning, Artificial Intelligence, Model Deployment, Technical Design, Data Pipelines
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Evaluation, Generative AI, Model Optimization, Continuous Monitoring, Model Deployment, Responsible AI, Google Cloud Platform, MLOps (Machine Learning Operations), Automation
Mittel · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: Model Evaluation, Generative AI, AI Security, Model Optimization, Responsible AI, Google Cloud Platform, MLOps (Machine Learning Operations), Continuous Monitoring
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Data Preprocessing, Model Deployment, Model Evaluation, Model Optimization, Generative Model Architectures, Feature Engineering, Model Training, Machine Learning Methods, Microsoft Azure, Applied Machine Learning, Machine Learning, Azure DevOps Pipelines, Data Processing, Large Language Modeling, Cloud Deployment, Machine Learning Software, Data Cleansing, Supervised Learning, Machine Learning Algorithms, AI Workflows
Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Vision Transformer (ViT), Generative Model Architectures, Model Optimization, MLOps (Machine Learning Operations), Generative AI, AI Integrations, Large Language Modeling, Model Deployment, Model Training, Tensorflow, PyTorch (Machine Learning Library), Embeddings, Retrieval-Augmented Generation, Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Natural Language Processing, Machine Learning
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Anomaly Detection, MLOps (Machine Learning Operations), Event Monitoring, Continuous Monitoring, System Monitoring, Unsupervised Learning, Model Evaluation, Threat Detection, Statistical Analysis, Model Optimization, Statistical Hypothesis Testing, Trend Analysis, Real Time Data, Statistical Methods, Time Series Analysis and Forecasting
Mittel · Kurs · 1–4 Wochen