Microsoft Cloud Workshop: Machine Learning

Microsoft Cloud Workshop: Machine Learning Certification Training Course Overview

In this whiteboard design session, you will learn to design and implement a solution that combines Azure Databricks with Azure Machine Learning service to build, train and deploy the machine learning and deep learning models.

Learning Objective

You will learn how to use automated machine learning, model lifecycle management from training to deployment, in batch and real-time inferencing scenarios, and construct deep learning models for Natural Language Processing (NLP) in text classification and forecasting against time-series data. Finally, you'll learn to compare data with PyTorch and Keras for deep learning.

Target Audience

This workshop is intended for Cloud Architects and IT professionals who have architectural expertise of infrastructure and solutions design in cloud technologies.

Microsoft Cloud Workshop: Machine Learning (8 Hours) Download Course Contents

Live Virtual Classroom Fee For Both Group Training & 1-on-1 Training On Request
Group Training
08 Aug 09:00 AM - 05:00 PM CST
(8 Hours/Day)

06 Sep 09:00 AM - 05:00 PM CST
(8 Hours/Day)

04 Oct 09:00 AM - 05:00 PM CST
(8 Hours/Day)

1-on-1 Training (GTR)
4 Hours
8 Hours
Week Days
Week End

Start Time : At any time

12 AM
12 PM

GTR=Guaranteed to Run
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
On Request
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Course Modules

Module 1: Whiteboard Design Session - Machine Learning
  • Review the customer case study
  • Design a proof of concept solution
  • Present the solution
Module 2: Hands-on lab - Machine Learning
  • Creating a forecast model using automated machine learning
  • Understanding the automated ML generated forecast model using model explainability
  • Creating a deep learning model (RNN) for time series data and registering the model
  • Using a forecast model for scoring of streaming telemetry
  • Creating a deep learning text classification model
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Course Prerequisites

Those attending this workshop should also be experienced in other non-Microsoft cloud technologies