DP-100: Designing & 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 in Microsoft Azure.

Schedule

Start DateDelivery FormatDaysTimeStatusPriceEnroll
5/16/2022Live Virtual Led310:00 amGuarantee To Run$1,675
6/13/2022Live Virtual Led310:00 amEnrolling Now$1,675
8/15/2022Live Virtual Led310:00 amEnrolling Now$1,675
10/17/2022Live Virtual Led310:00 amEnrolling Now$1,675
12/12/2022Live Virtual Led310:00 amEnrolling Now$1,675
1/24/2022Live Virtual Led310:00 amGuarantee To Run$1,675
2/21/2022Live Virtual Led310:00 amEnrolling Now$1,675
4/18/2022Live Virtual Led310:00 amEnrolling Now$1,675

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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.

Prerequisites

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

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

Objectives

Course Outline