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.

Universidad Austral
Kompetenzen, die Sie erwerben: Natural Language Processing, MLOps (Machine Learning Operations), Application Lifecycle Management, Systems Architecture, Application Development, Algorithms, Software Architecture, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Software Development Life Cycle, Machine Learning
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Tensorflow, Keras (Neural Network Library), Data Pipelines, Google Cloud Platform, Feature Engineering, Data Processing, MLOps (Machine Learning Operations), Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Transformation, Application Deployment, Machine Learning, Scalability
Mittel · Kurs · 1–3 Monate

H2O.ai
Kompetenzen, die Sie erwerben: Large Language Modeling, LLM Application, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Data Management, Prompt Engineering, Training Programs, Data Validation, Data Cleansing, Program Evaluation, Natural Language Processing, Applied Machine Learning, MLOps (Machine Learning Operations), Data Transformation, Verification And Validation, Data Quality, Performance Tuning, Data Processing
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Feature Engineering, Data Transformation, Data Processing, Data Cleansing, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning
Mittel · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: MLOps (Maschinelles Lernen Operations), Apache Airflow, Google Cloud-Platform, Tensorflow, Methoden des Maschinellen Lernens, Daten-Pipelines, Cloud Computing, Maschinelles Lernen
Anfänger · Projekt · Weniger als 2 Stunden

Google Cloud
Kompetenzen, die Sie erwerben: Feature Engineering, Tensorflow, MLOps (Machine Learning Operations), Data Transformation, Data Processing, Keras (Neural Network Library), Data Pipelines, Data Modeling, Machine Learning, Statistical Methods
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Data Processing, Data Pipelines, Systems Design, Google Cloud Platform, Analytics, Database Development, Data Infrastructure, Cloud Engineering, Data Architecture, Data Analysis, Security Controls, Machine Learning, Data Modeling, Cloud Security, Data Visualization, Data Storage Technologies, Scalability, Disaster Recovery, Performance Tuning
Fortgeschritten · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: AWS SageMaker, Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Classification And Regression Tree (CART), Python Programming, Prototyping
Anfänger · angeleitetes Projekt · Weniger als 2 Stunden

Google Cloud
Kompetenzen, die Sie erwerben: AI Personalization, Data Integration, Google Cloud Platform, MLOps (Machine Learning Operations), Data Modeling, Continuous Monitoring, Data Quality, System Monitoring, Real Time Data, Enterprise Architecture, Application Programming Interface (API)
Fortgeschritten · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Large Language Modeling, Data Management, Data Validation, Data Cleansing, Natural Language Processing, MLOps (Machine Learning Operations), Data Transformation, Verification And Validation, Data Quality, Performance Tuning
Mittel · Kurs · 1–4 Wochen

DeepLearning.AI
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Large Language Modeling, Jupyter, Generative AI, Software Versioning, Data Store, Metadata Management
Mittel · Projekt · Weniger als 2 Stunden

Kompetenzen, die Sie erwerben: Prompt Engineering, PyTorch (Machine Learning Library), Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Computer Vision, Image Analysis, Generative AI, Generative Model Architectures, Application Deployment, Artificial Neural Networks, Text Mining, Deep Learning, Cloud Hosting, Semantic Web, Restful API
Mittel · Spezialisierung · 1–4 Wochen