Big Data and Machine Learning with Cloud

Dates: To be advised

Duration: 2 Days

 

Course Overview

This course teaches how big data and machine learning models in cloud world. It includes different categories of products such as ingestion and process, storage, analytics and machine learning. It will cover different types of services for data engineering with cloud mainly from big data and machine learning perspective. 

This module is part of Professional Certificate in Data Engineering with Cloud.

Course Objectives

This course will equip learners with the following competencies:

  • Learn foundations of big data and machine learning
  • Understand different types of cloud products for big data and ML
  • Learn some of the Software as a Service (SaaS) and Platform as a Service (PaaS) services in cloud useful for data engineering

Minimum Entry Requirement

Diploma

Course Convener

(Click their photos to view their short biographies)

ddddd Ganesh Neelakanta Lyer

Dr Ganesh Neelakanta LyerDr Ganesh Neelakanta Lyer

Course Fees

Singapore Citizens
39 years old or younger
40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes

Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.

To enquire, email soc-ace@nus.edu.sg

To register, click Register

Course Codes: TGS-2023017998 / TGS-2023017989 (Synchronous e-learning)

Select Short Course / Modular Course -> Apply for Myself -> Browse Academic Modules / Short Courses-> Module/Course Category -> Short Courses -> Browse Courses-> Advanced Computing for Exe (Faculty/Department / Unit)

Please download the user guide for NUS Online Application Portal after you click ‘Apply for Myself’ if you need assistance.

Singapore Citizens

Singapore Citizens

39 years old or younger

Singapore Citizen

40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

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