In Designing and Implementing a Data Science Solution on Azure, students will gain the necessary knowledge about how to use Azure services to develop, train, and deploy, machine learning solutions.
Intake dates available:
Duration: 3 days
Gain the necessary knowledge about how to use Azure services to develop, train, and deploy, machine learning solutions. The course starts with an overview of Azure services that support data science. From there, it focuses on using Azure's premier data science service, Azure Machine Learning service, to automate the data science pipeline. This course is focused on Azure and does not teach the student how to do data science. It is assumed students already know that.
This course is aimed at data scientists and those with significant responsibilities in training an deplying machine learning models.
Before attending this course, students must have:
Decide if this is the right certification for you
This certification is a good fit if your responsibilities include:
If you already have or are working towards only of thse certifications:
Brand new? First, master the basics.
New to the cloud or Azure?
Choose Azure Fundamentals training.
New to Artificial Intelligence (AI) or AI on Azure?
Choose Azure Data Fundamentals training
Upskill with recomended training and experience
Skills outline guide
DP-200 and DP-201
Take a practice exam
Pass required exam to earn your certification
Designing and Implementing a Data Science Solution on Azure
Azure Data Scientist Associate
Azure Data Scientist implement and run machine learning workloads on Microsoft Azure Machine Learning
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* Fees will be reviewed annually. For the avoidance of doubt, Taylor’s reserves the right to revise the fee payable for any given semester.
*Fees exclude additional costs which varies according to programme.
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