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Machine Learning on AWS Cloud

Learn how to build, train and deploy AWS Deep Learning models with Machine Learning on AWS Cloud. Add more weight to your profile with these advanced skills.

On-campus training in Malaysia: 24 hours

Calendar-On-Campus Classes

  • 22nd
  • 9:00 AM - 6:00 PM

ML on AWS Cloud

Total Duration

3 Months


  • Computer Skills
  • Basic Mathematical Knowledge
  • Basic Data Science Concepts

AWS Machine Learning Programme Overview

Get an overview of Machine Learning as a service on Amazon Web Services (AWS) and related services with Machine Learning on AWS Cloud. In this Machine Learning training course in Malaysia, professionals will understand how to leverage data and Cloud Computing to build, train and deploy Machine Learning models. Professionals working in different industry domains will learn how to apply Machine Learning concepts to large datasets and create Predictive Analytics solutions to solve their unique, Industry-specific problems.

Course Details

Machine Learning on AWS Learning Outcomes

Cloud technology and its advantages
Various Machine Learning services offered on AWS
How data is loaded on to cloud storage services
Build predictive models using Amazon Machine Learning services
Connecting Amazon database services and transforming data
How to deploy a model on cloud

Even traditional sectors such as agriculture and manufacturing in Malaysia are hiring digitally skilled professionals.

(Source: Empowering Human Capital for Future Jobs: Ministry of Human Resources, Malaysia)

Block Your Time

24 hours

Classroom Sessions

60 hours

Assignments &

60 hours

Live Projects

Who Should Sign Up?

  • Data scientists, technology heads, decision-makers
  • Professionals with analytics knowledge
  • Professionals with industry domain experience in various areas (banking, finance, insurance, mechanical, IoT etc.)

Tools Covered

Register for a free orientation

Limited seats available.

Book now to avoid disappointment.

Cloud Machine Learning Panel of Coaches

Bharani Kumar Depuru

  • Areas of expertise: Data analytics, Digital Transformation, Industrial Revolution 4.0
  • Over 14+ years of professional experience
  • Trained over 2,500 professionals from eight countries
  • Corporate clients include Hewlett Packard Enterprise, Computer Science Corporation, Akamai, IBS Software, Litmus7, Personiv, Ebreeze, Alshaya, Synchrony Financials, Deloitte
  • Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, AgilePM (DSDM Atern)
  • Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business
Read More >

Sharat Chandra Kumar

  • Areas of expertise: Data sciences, Machine learning, Business intelligence and Data visualisation
  • Trained over 1,500 professional across 12 countries
  • Worked as a Data scientist for 14+ years across several industry domains
  • Professional certifications: Lean Six Sigma Green and Black Belt, Information Technology Infrastructure Library
  • Experienced in Big Data Hadoop, Spark, NoSQL, NewSQL, MongoDB, R, RStudio, Python, Tableau, Cognos
  • Corporate clients include DuPont, All-Scripts, Girnarsoft (College-dekho, Car-dekho) and many more
Read More >

Nitin Mishra

  • Areas of expertise: Data sciences, Machine learning, Business intelligence and Data visualisation
  • Over 20+ years of industry experience in data science and business intelligence
  • Trained professionals from Fortune 500 companies and students at prestigious colleges
  • Experienced in Cognos, Tableau, Big Data, NoSQL, NewSQL
  • Corporate clients include Time Inc., Hewlett Packard Enterprise, Dell, Metric Fox (Champions Group), TCS and many more
Read More >


Get validation of your advanced skills and knowledge with the Machine Learning on AWS Cloud certificate. Join the growing community of developers and data scientists trained on AWS.

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FAQs on Cloud Machine Learning Certification

The easiest way to understand the relationship between AI and deep learning is to visualise them as concentric circles. In that, AI is an idea that came first in which machines exhibit human intelligence. Machine learning came next, which is an approach to achieve AI. And finally, deep learning, which is driving today’s AI explosion, is a technique to implement machine learning.


The skills that you will obtain from our Deep Learning course are: You will be able to build AI systems using Deep Learning You will be familiar with deep learning and image processing convolution networks You will be introduced to text and emotion mining and Natural Language Processing (NLP).

While salaries of AI experts go up to US$ 1 million a year, it could start from US$ 150,000, on an average.


The salary range varies based on experience, industry, domain, geography and various other parameters. However, as a general rule of thumb, we can go with research conducted by job portals. On an average, in Malaysia, machine learning professionals draw salaries of RM 165,074 per annum. Refer To


On an average, data scientist salaries are around RM 102,000 per annum. Refer To


If you miss a class, we will arrange for a recording of the session. You can then access it through the online Learning Management System.

We assign mentors to each student in this programme. Additionally, during the mentorship session, if the mentor feels that you require additional assistance, you may be referred to another mentor or trainer.

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