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Microsoft DP-100T01 - Designing and Implementing a Data Science Solution on Azure

  • Length 4 days
  • Price  NZD 3250 exc GST
Course overview
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Why study this course

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.

20% OFF** UNTIL 30 JUNE
Take advantage of our limited time offer and get 20% off** the listed course price. Simply quote the promo code MSAI-20 when booking your course. Terms and conditions apply.

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What you’ll learn

After completing this course, students will be able to:

  • Design and prepare a machine learning solution

  • Explore data and train models

  • Prepare a model for deployment

  • Deploy and retrain a model


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Microsoft Azure at Lumify Work

Lumify Work is your best choice for training and certification in any of Microsoft’s leading technologies and services. We’ve been delivering effective training across all Microsoft products for over 30 years, and are proud to be Australia's and New Zealand’s first and largest Microsoft Gold Learning Solutions Partner. All Lumify Work Microsoft Azure courses follow Microsoft Official Curriculum (MOC) and are led by Microsoft Certified Trainers. Join more than 5,000 students who attend our quality Microsoft courses every year.


Who is the course for?

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 subjects

  • Design a machine learning solution

  • Explore and configure the Azure Machine Learning workspace

  • Work with data in Azure Machine Learning

  • Work with compute in Azure Machine Learning

  • Experiment with Azure Machine Learning

  • Use notebooks for experimentation in Azure Machine Learning

  • Train models with scripts in Azure Machine Learning

  • Optimise model training with Azure Machine Learning

  • Manage and review models in Azure Machine Learning

  • Deploy and consume models with Azure Machine Learning


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.

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


Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.

** Discount applies only to courses AI-900T00, AI-102T00, AI-050T00, DP-100T01 and DP-600T00. Bookings must quote the code MSAI-20. Courses must be sat before 30 June 2024 and paid upfront. Usage of pre-paid credits excluded. All requests to cancel or change public course dates must be made in writing to Lumify Work no less than 10 business days prior to the commencement date of the course. An acknowledgement of your request will confirm your eligibility for a refund which will be applied as a training credit to your account. Cancellations and date change requests received less than 10 business days prior to the start of the course will incur a fee of 50% of the total course price. Lumify Work reserves the right to withdraw this offer at any time. Lumify Work standard terms and conditions and privacy policy also apply.


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