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Microsoft Azure Data Scientist Associate
Price includes: Instructor Led Class, Official Courseware, Labs and Exams

This Professional Certificate is intended 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. This Professional Certificate teaches learners how to create end-to-end solutions in Microsoft Azure. They will learn how to manage Azure resources for machine learning; run experiments and train models; deploy and operationalize machine learning solutions; and implement responsible machine learning. They will also learn to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning.


  • Name: Microsoft Azure Data Scientist Associate
  • Availability: Monday To Friday
  • Location: East Meadow, 11554
  • Price: $1500.00
ENROLL

Course Overview

Launch Your Career in Data Science. Apply data science and machine learning to implement and run machine learning workloads on Azure.

Your responsibilities for this role include:

  • Designing and creating a suitable working environment for data science workloads.
  • Exploring data.
  • Training machine learning models.
  • Implementing pipelines.
  • Running jobs to prepare for production.
  • Managing, deploying, and monitoring scalable machine learning solutions.                                                   

 

As a candidate for this exam, you should have knowledge and experience in data science by using:

  • Azure Machine Learning
  • MLflow

How to plan and create a working environment for data science workloads on Azure

How to run data experiments and train predictive models

Identify different kinds of machine learning models

Automated machine learning capability of Azure Machine Learning to train and deploy a predictive model

Create regression, classification, and clustering models using Azure Machine Learning designer

Use Azure Machine Learning to create and publish models without writing code

Learn how to use the Azure Machine Learning Python SDK to create and manage enterprise-ready ML solutions

Work with Data and Computer in Azure Machine Learning

Use the Azure Machine Learning SDK to train a model. Select models and protect sensitive data

Orchestrate pipelines and deploy real-time machine learning services with Azure Machine Learning

Harness the power of Apache Spark and powerful clusters running on the Azure Databricks platform to run data science workloads.

Perform machine learning with Azure Databricks. Work with User-Defined Function (UDF) in Azure Databricks

Work with DataFrames in Azure Databricks. Use Azure Databricks and the Apache Spark notebook to process large amounts of data

Build and query a Delta Lake

Outline the key points covered in the Data Science on Microsoft Azure Exam course

Designing and Implementing a Data Science Solution on Azure

Designing and Implementing a Data Science Solution on Azure

BootCamps

Certifications

  • Microsoft Azure Data Scientist Associate

Exams

  • DP-100 - Microsoft Azure Data Scientist Associate