Data, Analytics & AI Category Banner Image

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

  • Length 4 days
Course overview
View dates &
book now

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.

Request Course Information


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


Microsoft Partner Cloud Logo

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.


Request Course Information

Personalise your schedule with Lumify USchedule

Interested in a course that we have not yet scheduled? Get in touch, and ask for your preferred date and time. We can work together to make it happen.



Offers

Continue your learning experience online with Lumify Plus
Lumify Plus (formerly DDLS Plus) is your online learning pathway to extend knowledge beyond courses. Get resources to help you practice what you learned and prepare for future courses, exams and certifications.
Microsoft Azure Developer & DOI DevOps Foundation Bundle
This bundle brings together two globally recognised and sought after courses to set you apart from the rest and give you the edge you need to advance your career.