Designing and Implementing a Data Science Solution on Azure


Ημερομηνία Έναρξης
Τρίτη 5 Δεκεμβρίου 2023
24 hours
Εξέταση - Πιστοποίηση



Microsoft Certified Trainer (MCT) Azure Architect & Infrastructure Consultant | Έμπειρος Azure Cloud Architect. Μεγάλη επαγγελματική και εκπαιδευτική εμπειρία με περισσότερες από 15.000 ώρες τεχνικής εκπαίδευσης

Audience Profile

This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud.

Course outline

    • Design a data ingestion strategy for machine learning projects
    • Design a machine learning model training solution
    • Design a model deployment solution
    • Explore Azure Machine Learning workspace resources and assets
    • Explore developer tools for workspace interaction
    • Make data available in Azure Machine Learning
    • Work with compute targets in Azure Machine Learning
    • Work with environments in Azure Machine Learning
    • Find the best classification model with Automated Machine Learning
    • Track model training in Jupyter notebooks with MLflow
    • Run a training script as a command job in Azure Machine Learning
    • Track model training with MLflow in jobs
    • Run pipelines in Azure Machine Learning
    • Perform hyperparameter tuning with Azure Machine Learning
    • Deploy a model to a managed online endpoint
    • Deploy a model to a batch endpoint

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