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Cloud Computing Technical-ML Azure

Under the Cloud Computing Courses, we have two courses as mentioned below which use Azure. You can take this course individually or together.


Duration -   20 Hours          |

Learning Format -   Online/Interactive

          
Cloud Computing Technical-ML Azure


Course Description


Microsoft Azure is an open, flexible, enterprise-grade cloud computing platform. It provides both PaaS and IaaS services and supports many different programming languages, tools and Frameworks, including both Microsoft-specific and third-party software and systems. Today, more than 80% of Fortune 500 companies use Azure to support their operations. 

Following are the modules you will learn: 

  1. Basic Cloud Concepts 
  2. Core Azure Components & Services 
  3. Whiteboarding using Azure Components 
  4. Azure Subscriptions 
  5. Security, Privacy, Compliance & Trust 


Machine Learning with AZURE 


In this workshop, participants will build a machine learning pipeline using various Microsoft Azure tools and services. The workshop will take participants through how to plan data loads and imports, followed by data preparation, such as cleaning and manipulating the data for testing, training various Machine Learning models and deploying them into a production environment. 

Here are a few of the takeaways: 


  • • Participants will be taught basic machine learning processes and how different components and tasks of Azure Machine Learning map to each step of the process. 

  • • Understand how to import and manipulate data with Azure Machine Learning Studio. 

  • • How to evaluate model performance in Azure Machine Learning Studio. 

  • • How to leverage external scripts written in R or Python with Azure Machine Learning Studio. 

  • • How to operationalize an Azure Machine Learning Studio model for consumption by an application. 

  • • Introduction to Azure Machine Learning Services 

 

Following are the Modules: 

Introduction to Data Science Lifecycle & Machine Learning

This module will take participants through the foundations of the data science lifecycle, the different steps involved, and the common machine learning techniques employed across various industry sectors today. 

Machine Learning Using Azure Machine Learning (AML) Studio 
  • • AML Studio Components 

  • • Data Import 

  • • Data Cleaning and Manipulation 

  • • Machine Learning Experimentation 

  • • Deploying Machine Learning Models 

  • • Consuming APIs in Excel 


  1. Machine Learning Using Azure Machine Learning Services 

  • • Introduction to Azure Machine Learning Services 

  • • Building Model Pipelines using Azure Machine Learning Services 

  • • Operationalizing Models 


Course Outline:

  1. Basic Cloud Concepts 
  2. Core Azure Components & Services 
  3. Whiteboarding using Azure Components 
  4. Azure Subscriptions 
  5. Security, Privacy, Compliance & Trust 

Tools Covered:


Certification: Upon successful completion of the course, participants will receive a certificate showcasing their proficiency in data structures.

Enquiry Form

   


Testimonial

Designers and drafters use it to create two-dimensional (2D) and three-dimensional (3D) computer drawings.
- Vinay Rane



Designers and drafters use it to create two-dimensional (2D) and three-dimensional (3D) computer drawings.
- Sandeep Singh



Designers and drafters use it to create two-dimensional (2D) and three-dimensional (3D) computer drawings.
- Sonal Singh


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