DP-100E Designing and Implementing a Data Science Solution on Azure

Course Overview

Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow.


Mode of Trainings

Full Time


Who Should Attend

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 Duration

4 days


Total Training Duration (Hour)

28 Hours


Course Outline

Module 1: Design a data ingestion strategy for machine learning projects

Module 2: Design a machine learning model training solution

Module 3: Design a model deployment solution

Module 4: Explore Azure Machine Learning workspace resources and assets

Module 5: Explore developer tools for workspace interaction

Module 6: Make data available in Azure Machine Learning

Module 7: Work with compute targets in Azure Machine Learning

Module 8: Work with environments in Azure Machine Learning

Module 9: Find the best classification model with Automated Machine Learning

Module 10: Track model training in Jupyter notebooks with MLflow

Module 11: Run a training script as a command job in Azure Machine Learning

Module 12: Track model training with MLflow in jobs

Module 13: Run pipelines in Azure Machine Learning

Module 14: Perform hyperparameter tuning with Azure Machine Learning

Module 15: Deploy a model to a managed online endpoint

Module 16: Deploy a model to a batch endpoint



Pre-requisites

Successful Azure Data Scientists start this role with a fundamental knowledge of cloud computing concepts, and experience in general data science and machine learning tools and techniques. Specifically:

  • Creating cloud resources in Microsoft Azure.
  • Using Python to explore and visualize data.
  • Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow.
  • Working with containers

 

To gain these prerequisite skills, take the following free online training before attending the course:

 

If you are completely new to data science and machine learning, please complete Microsoft Azure AI Fundamentals first.



Price
Course Fee Payable
Original Fee Before GST With GST
Course Fee $3,199.00 $3,454.92

Please note that prices are subject to change.
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