Machine Learning Courses

Deep Learning & Azure Machine Learning Course

Duration: 1 Days

Venue: 10 Anson Road, 26-08A International Plaza, Singapore 079903

This Machine Learning course will provide you with insights into the vital roles played by machine learning engineers and data scientists. Upon completion of this course, you will be able to uncover the hidden value in data using Python programming for futuristic inference. You will work with real-time data across multiple domains including e-commerce, automotive, social media and more. You will learn how to develop machine learning algorithms using concepts of regression, classification, time series modelling and much more.

Upon course completion, the candidate will be able to:

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  • Describe Machine Learning (ML) and its concepts
  • Gain insights into the roles played by a Machine Learning Engineer
  • Discuss various ML algorithms and their implementation
  • Validate ML algorithms

Why should you learn Machine Learning to grow your career?

  • Harvard Business Review endorses Machine Learning as the hottest job for today’s digital world due to its remarkable achievements in the R&D (Research and Development) sector.
  • Most top-rated organizations are seeking Machine Learning professionals and offering high payouts.
  • According to, on average, a Machine Learning professional earns $110,304 per annum.

Who should learn Machine Learning?

Machine Learning is being used by most among the world leading organizations. This training is the perfect choice for:

  • Analytics managers
  • Developers
  • Business Analysts
  • Information architects
  • Graduates aiming to build a machine learning career


The participants of our training should have:

  • Familiarity with Python Programming fundamentals
  • Fair understanding of Statistics and Mathematics basics

  Azure Machine Learning Training Curriculum

Introduction To Machine Learning

This module introduces machine learning and discussed how algorithms and languages are used.


  • What is machine learning?
  • Introduction to machine learning algorithms.
  • Introduction to machine learning languages.

Introduction To Azure Machine Learning

Describe the purpose of Azure Machine Learning, and list the main features of Azure Machine Learning Studio.


  • Azure machine learning overview
  • Introduction to Azure machine learning studio
  • Developing and hosting Azure machine learning applications

Managing Data Sets

At the end of this module the student will be able to explore various types of data in Azure machine learning.


  • Categorizing your data
  • Importing data to Azure machine learning
  • Exploring and transforming data in Azure machine learning

Building Azure Machine Learning Models

This module describes how to use regression algorithms and neural networks with Azure machine learning.


  • Azure machine learning workflows
  • Using regression algorithms
  • Using neural networks

Using Azure Machine Learning Models

This module explores how to provide end users with Azure machine learning
services, and how to share data generated from Azure machine learning models.


  • Deploying and publishing models
  • Consuming Experiments

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