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Professional Certificate

Professional Certificate in Data Engineering with Cloud

Programme Structure


Programme NameProgramme ScheduleMode of DeliveryProgramme Code
Data Lakes and Data Warehouses with Cloud5 Sep, 6 Sep 2024 | 9am - 5.30pmClassroom LearningTGS-2023017997
Big Data and Machine Learning with Cloud10 Sep, 11 Sep 2024 | 9am - 5.30pmClassroom LearningTGS-2023017998
Data Engineering Pipelines with CloudTo be advisedClassroom LearningTGS-2023017993
Duration 6 days

Programme Overview

The Professional Certificate in Data Engineering with Cloud unveils the dynamic intersection of data engineering and cloud computing. Explore the pivotal role of cloud computing in modern data engineering practices, gaining insights into the principles behind data lakes and warehouses in a cloud environment. Explore the transformative power of cloud technology in facilitating big data engineering and machine learning endeavours, while focusing your proficiency on leveraging cloud services for streamlined data engineering tasks. With a comprehensive curriculum designed to equip you with essential competencies, this certificate programme empowers you to navigate the evolving landscape of data engineering with confidence and expertise.

Programme Objectives

This Professional Certificate will equip learners with the following competencies:

  • Learn the role of Cloud Computing in Data Engineering
  • Understand data lakes and data warehouses concepts with cloud
  • Understand how cloud helps in big data engineering and machine learning
  • Learn the role of cloud services for data engineering tasks

Job Role Readiness

It will prepare learners for the following job roles :

  • Data Analysts
  • Data Engineers
  • Data Scientists

Who Should Attend

Professionals and mid-career PMETs.

Prerequisites

At least a polytechnic diploma.

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This programme is part of

  • Advanced Professional Certificate in Data Engineering

    • Instructors


    Dr Ai Xin

    Dr Ai Xin

    Dr Ai Xin is currently a Lecturer with the School of Computing at the National University of Singapore (NUS). She has many years’ experience teaching Artificial Intelligence and Data Science courses such as machine learning, deep learning and data mining. She graduated from NUS with a PhD degree in Electrical and Computer Engineering. Her research focused on Game Theoretical Modelling, Optimization Methods, Algorithm Design and Wireless Networks. She worked at BHP Billiton Marketing Asia for eight years, gaining extensive industry experience in various functions such as risk management, supply chain management, and sales and marketing planning.

    Dr Ganesh Neelakanta Iyer

    Dr Ganesh Neelakanta Iyer

    Dr Ganesh Neelakanta Iyer is a Lecturer in in the Department of Computer Science, National University of Singapore. Prior to this, he worked as a lead DevOps engineer at Salesforce.com. He had also served as an Associate Professor in the Department of Computer Science & Engineering, School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore. He has received his Bachelor’s degree in Computer Science and Engineering (University first rank) from Mahatma Gandhi University, Kerala, India in 2004 and Masters and PhD degrees from National University of Singapore in 2008 and 2012 respectively. He brings in a decade of industry experience in various companies including Sasken Communication Technologies, NXP semiconductors and Progress software. He has handled several roles in the software industry including QA Architect, Technical Support Manager, Engineering development and Technology Evangelist. He has strong inclination towards Game Theory. He applies game theory for handling conflicts, enforcing cooperation and for multi-agent systems. His technical knowledge and experience are in various areas including Cloud/Edge/Fog Computing Paradigms (including cloud platforms, containers and Kubernetes), Computer Networks, Software Engineering practices (Agile) and Quality Analysis, Economic models (Game Theoretic principles) and current day practices on cloud-based enterprise architectures, Machine Learning and technology for traditional Indian dance (such as Kathakali) popularization. His mathematical interests include game theory, graph theory, optimization principles etc. Over the past several years he has acquired practical knowledge and experience in various cutting-edge software engineering methodologies including Agile framework and has experience formulating and implementing various software engineering principles using Agile for large and small product development teams. Dr Iyer is active in doing practical industry-oriented research on the above topics of his interest. He also aspires to do research on technological innovations to popularize traditional classical arts such as Kathakali and Koodiyattam. He has published two book chapters in the “Encyclopaedia for Cloud Computing” in 2016 in addition to several book chapters, journals and conference publications. Dr. Iyer has delivered several practical workshops and talks on various cutting-edge technology topics in many academic and industry events in several countries including USA, Europe, Australia and Asia. Many of these were on the contributions made by him in his industry engagement for software quality analysis with current day software engineering principles such as Agile for application development involving cloud platforms, mobile platforms and IoT based systems. Dr Iyer is an IEEE Senior Member. He has been a reviewer of many internationals Journals including IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems and several international conferences. He was also the program chair for several international conferences including ICCCI and ICIWE. Dr Iyer has strong teaching skills and boundless passion for teaching. He was a visiting faculty at IIIT-H (International Institute of Information Technology Hyderabad), and has been teaching various subjects including “Game Theory for Computer Science”, “Computer Networks”, “Advanced Computer Networks” and “Scripting and Computer environments” for which, he has framed the syllabus, developed the materials and references, structured the grading scheme and formulated continuous assessment strategies. Further, he was a member of Board of Studies at JNTU-H (a premium university in India) where he participates in framing the syllabus for the university’s upcoming academic year. He is also an expert in performing Kathakali, a traditional Indian dance. He has composed a story in Kathakali and he spends a considerable amount of his personal time to uplift this traditional art by organizing Kathakali performances, workshops and demonstrations and performance by himself. He has also composed a Kathakali story “Sri Mookambika Mahathmyam” which has been staged in multiple venues in India.

    Programme Fees


    Singapore Citizens Singapore PRs Enhanced Training Support for SMEs International Participants
    39 years old or younger 40 years old or older
    S$1,863.90 S$723.90 S$1,863.90 S$723.90 S$6,213.00
    1. Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes
    2. Participants must fulfill at least 75% attendance and pass all assessment components for all short courses within a professional certificate in order to be eligible for SSG funding.
    3. GST shall apply at prevailing rates.

    Connect with us

    11 Research Link
    COM 3, #B1-07
    Singapore 119391
    Telephone: +65 6516 5523
    Email: soc-ace@nus.edu.sg

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