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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. Learn about data storage on cloud devices and build prediction models using Amazon Machine Learning Services. Add more power to your profile with these advanced skills.

On-campus training in Malaysia: 24 hours

Calendar-On-Campus Classes

ML on AWS Cloud

machine learning on aws course duration - 360digitmg

Total Duration

3 Months

machine learning on aws course pre-requisites - 360digitmg

Prerequisites

  • 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
Understand how data is loaded on to cloud storage services
Build predictive models using Amazon Machine Learning services
Connecting Amazon database services and transforming data
Understand how to deploy a model on cloud

Machine Learning on Cloud Modules

Introduction to Cloud Computing and its concepts. Understand various advantages of Cloud Computing, the various Cloud deployment Models, and the various Service Models.

Introduction to Amazon Web Services, its history, AWS milestones, Amazon Web Services standing in the Cloud market, AWS Global Infrastructure, Regions, Availability Zones, and Edge Locations.

Introduction to EC2 and its services. Creating an EC2 Instance. Classification of EC2 Instances based on Configuration, Performance, and Memory. Learn about On-Demand Instances, Reserved Instances, Scheduled Instances, and Spot Instances. In this module, you will study the use of Load Balancers, Elastic Block Storage - Volumes and Snapshots, dealing with AMI and creating Custom AMI.

Introduction to various types of Storage Services - EBS, S3 and EFS, differences between these storage services. In this module, you will learn to use S3 services for Machine Learning. You will learn about the properties of S3 and storage classes in S3.

AWS best practices in securing your Amazon Web Services Account, controlling other Users, Groups, in AWS Account through AWS Policies. Study the importance of the IAM Role. Learn to create Custom Policies and enable Multi-Factor Authentication.

Studying Amazon RDS Services, creating an RDS Instance and its characteristics, creating MYSQL RDS service and establishing a connection with Remote EC2 Instance.

Introduction to Machine Learning on Cloud, Amazon SageMaker and its characteristics, various services under Amazon SageMaker, creating a Notebook Instance, and launching Jupyter Notebook.

Introduction to Text Mining and Natural Language Processing, Uploading the extracted data in Amazon Comprehend and performing Sentiment Analysis.

Introduction to Amazon Machine Learning Service. Learn how Machine Learning Service builds a Machine Learning Model based on the inputs provided.

Read More >

In Malaysia, the national average salary of an AWS Cloud Solutions Architect is RM 147,169 per annum.

Block Your Time

machine learning on aws course - 360digitmg

24 hours

Classroom Sessions.

machine learning on aws course - 360digitmg

60 hours

Assignments &
e-Learning.

machine learning on aws course - 360digitmg

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

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machine learning on aws course modules - 360digitmg

Cloud Machine Learning Panel of Coaches

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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 >
 
agile certification trainers - 360digitmg

Sharat Chandra Kumar

  • Areas of expertise: Data Science, 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 >
 
agile certification trainers - 360digitmg

Nitin Mishra

  • Areas of expertise: Data Science, 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 from 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 >
 
machine learning on aws cloud certification - 360digitmg
machine learning on aws cloud certification - 360digitmg

Certificate

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.

https://www.datamation.com/artificial-intelligence/ai-salaries.html

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). You will learn how to build, train and deploy AWS Deep Learning models with Machine Learning on AWS Cloud.

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

https://www.datamation.com/artificial-intelligence/ai-salaries.html

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 average, in Malaysia, machine learning professionals draw salaries of RM 165,074 per annum. Refer To

https://www.salaryexpert.com/salary/job/machine-learning-engineer/malaysia

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

https://www.payscale.com/research/MY/Job=Data_Scientist/Salary/dc8ab7b8/Kuala-Lumpur

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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