DP-100T01: Designing and Implementing a Data Science solution on Azure
Acerca del curso
Aprenda a operar soluciones de aprendizaje automático a escala de la nube con Azure Machine Learning. Este curso le enseña a aprovechar su conocimiento existente de Python y el aprendizaje automático para administrar la ingestión y preparación de datos, la capacitación e implementación de modelos, y el monitoreo de soluciones de aprendizaje automático en Microsoft Azure.
Objetivos
- Cree ciencia de datos en Azure
- Cree ciencia de datos con el servicio Azure Machine Learning
- Automatice el aprendizaje automático con el servicio Azure Machine Learning
- Administre y monitoree modelos de aprendizaje automático con el servicio Azure Machine Learning
Contenidos
- Introduction to Azure Machine Learning
- Getting Started with Azure Machine Learning
- Azure Machine Learning Tools
- No-Code Machine Learning with Designer
- Training Models with Designer
- Publishing Models with Designer
- Running Experiments and Training Models
- Introduction to Experiments
- Training and Registering Models
- Working with Data
- Working with Datastores
- Working with Datasets
- Compute Contexts
- Working with Environments
- Working with Compute Targets
- Orchestrating Operations with Pipelines
- Introduction to Pipelines
- Publishing and Running Pipelines
- Deploying and Consuming Models
- Real-time Inferencing
- Batch Inferencing
- Training Optimal Models
- Hyperparameter Tuning
- Automated Machine Learning
- Interpreting Models
- Introduction to Model Interpretation
- using Model Explainers
- Monitoring Models
- Monitoring Models with Application Insights
- Monitoring Data Drift