Essential Digitalisation Skill In New Economy

    TRAINERS : Dr Aliza Sarlan, Assoc. Prof. Dr Dayang Rohaya Awang Rambli, Dr Helmi Md Rais, Assoc. Prof. Dr Toni Anwar, Assoc. Prof. Dr Low Tan Jung, Mr Sharin Nidzam (KukuBytes Solution), Assoc. Prof. Dr Mohd Soperi Mohd Zahid, Mr Faizal Ahmad Fadzil, Mr Jale Ahmad, Dr Suziah Sulaiman, Mr Saipunidzam Mahamad, Dr Kamaluddeen Usman Danyaro, Mr Ahmad Zaki bin Abdullah (Politeknik Ungu Omar) & Mr Ahmad Izuddin Zainal Abidin

    ELIGIBILITY : MALAYSIAN, UNEMPLOYED & DEGREE GRADUATED FROM 2019, 2020 & 2021 (meeting all 3 criteria)

 

WHEN  


27 SEPTEMBER -

12 NOVEMBER 2021

 

WHERE 


MS TEAMS

(ONLINE)

 

TIME


9.00AM - 5.00PM

 

FULLY FUNDED PROGRAM BY KPT

CONTENT SUMMARY

INTRODUCTION

The comprehensive course, which covers end-to-end, aims to equip the entrepreneurs with pertinent knowledge and skills to be successful in the digital world especially in scaling up their businesses to step up in the new norm.

The main aim of the training is to enhance participants’ business, financial and soft skills like communication management skills. The technical aspects include digital technologies. like digital marketing, branding tools, website navigation and security aspects of online payment gateway. Hence the course will equip the participants with the required skills to scale-up for successful business on digital platforms for their businesses to flourish.

COURSE CONTENT

Introduction to Digitalisation:
  • What is digitalisation.
  • Computer Organization.
  • Software.
  • Hardware.
  • Future of Digitalization

Digitalisation in Industry:

  • IR 4.0.
  • Digitalisation in Manufacturing.
  • Digitalization in Service.
Development & Implementation of Internet of Things (IoT):
Module 1:  Introduction to Internet of Things
  • What is IoT and why it is important.
  • Elements of an IoT ecosystem.
  • IoT applications.
Module 2:  Sensors, connectivity and networks
  • Sensing components and devices.
  • Sensor modules, nodes and systems.
  • Wireless technologies for IoT.

Module 3: Analytics and applications

  • Signal processing, real-time and local analytics.
  • Databases, cloud analytics and applications

Cloud Computing & Web Based Application:

Module 1:  Introduction to Cloud Computing
  • What is Cloud Computing & History.
  • Benefits of Cloud Computing.
  • Cloud Computing Services

Module 2:  Introduction to a Cloud provider

  • IaaS Services.
  • PaaS Services.
  • Containers and Microservices.
  • SaaS Services.

Module 3: Introduction to Web Based Application 

  • Client Server System.
  • HTML, Javascript and CSS.
  • Development web based applications

Big Data Analytic:
Module 1: Introduction to Big Data Analytic
  • Descriptive & predictive analytics.
  • Data Visualization.
  • Introduction to an Big data Analytic tool.

Module 2: Descriptive Analytics Techniques and applications

Module 3: Predictive Analytics Techniques and applications

Essential Machine Learning:
Module 1: Introduction to Machine Learning
  • Artificial Intelligence, Machine Learning and Deep Learning.
  • Types of Machine Learning Models
Module 2: Hands on with machine learning tools

Module 3: Solving problems with Machine Learning
  • Development of ML model.
  • Training and testing Deployment of ML model.


OBJECTIVES

By the end of the course, the participants should be able to:

  • Elevated motivation in attaining excellence in business.
  • Enhanced basic business and financial management skills for successful digital entrepreneurship.
  • Effective organizational communication skills, and team dynamics for sustainable businesses.
  • Skills in creating effective audio and visuals in leveraging the digital technology for marketing and branding.
  • Awareness and knowledge on payment gateway that involve the products, methods and security



WHO SHOULD ATTEND?

  • Malaysian
  • Unemployed
  • Graduated From 2019, 2020 & 2021






OUR TRAINERS




1. Associate Professor Dr Mohd Soperi M Zahid

Mohd Soperi is an Associate Professor at Computer and Information Sciences Department, Universiti Teknologi PETRONAS. He obtained his PhD in Computer Science from University of Wisconsin – Milwaukee, USA in 2009, M Sc in Computer Integrated Manufacturing from Rochester Institute of Technology, USA in 1998 and B Sc in Computer Science from New Mexico State University, USA in 1988. His research interests include Internet and Delay Tolerant routing protocols, Software Defined Networks failure recovery, and Cardiovascular diseases detection using Machine Learning. He has published several journals and conference papers in these areas


2. Associate Professor Dr Low Tang Jung  (UTP)

Associate Professor Dr Low Tang Jung obtained his Bachelor Degree (Computer Technology) from Teesside University (UK) in 1989, his MSc. IT from UKM in 2001, and his PhD IT from UTP in 2012. Low has been in the academic line for the past 25 years teaching various electrical engineering and ICT courses in various public and private institutions. His research interest includes wireless and mobile networking technology, embedded systems, robotic, IoT and Grid/HPC computing. He has conducted various research and consultancy works for the past 25 years with various clients both local and international.

                       




3. Associate Professor Ts Dr Dayang Rohaya  (UTP)

Associate Professional Ts Dr Dayang Rohaya Awang Rambli is an Associate Professor in the Department of Computer and Information Sciences, Universiti Teknologi PETRONAS (UTP), Malaysia. She received her PhD degree (Computer Science) from Loughborough University in 2005.  Her MSc degree (Computer Science) and BSc (Computer Science) were obtained from Western Michigan University in 1987 and University of Nebraska, Omaha, USA in 1985 respectively. Currently, she is a researcher at the Institute of Health Analytics (UTP), leading the Visualization & Interaction Research group. Her research interest lies in the area of virtual reality, augmented reality and human computer interaction focusing on visualization and human factors issues in the field of healthcare, education & training. She has more than 20 years of teaching experience in courses such as programming, virtual reality, technopreneurship team project and IT project management.

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REGISTRATION

FULLY FUNDED PROGRAM  BY KPT

*SUBJECTED TO TERM AND CONDITIONS

*FIRST COME, FIRST SERVE

*CERTIFICATION – AZ900: MS AZURE FUNDAMENTALS EXAM FEE IS INCLUDED

OUR LOCATION

Centre for Advanced & Professional Education (CAPE)

 Level 16, Menara 2, Menara Kembar Bank Rakyat, 50470, Jalan Travers, Kuala Lumpur.

CALL US

+605 - 368 7558 /

+605 - 368 8485

DROP US AN EMAIL

cape@utp.edu.my