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.
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 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.
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.
We've created this e-book to assist you on your cloud journey, from defining the optimal cloud infrastructure and choosing a cloud platform, to security in the cloud and the core challenges in moving to the cloud.
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.
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