Digital Transformation for The Future of Works: Big Data, AI and Machine Learning

    TRAINERs : Assoc. Prof. Dr Fadzil Hassan, Assoc. Prof. Ts Dr Jafreezal, Assoc. Prof. Dr Izzatdin, Ts Nazleeni Samiha, Ts Shakirah Taib, Ts Dr Hilmi Hassan, Ts Dr Emelia Akashah, Ts Dr Norshakirah Aziz, Dr Said Jadid, Dr Hitham

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

 

WHEN  


19 JANUARY - 

3 MARCH 2022

 

WHERE 


UNIVERSITI TEKNOLOGI PETRONAS, 32610 Seri Iskandar, Perak

 

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 Digital Transformation:
  • Introduction to digital transformation
  • Digitization: from analog to digital
  • Leverage digital transformation: technological evolution; customer experience

Understanding the “Future of works”:

  • Role of Technology
  • Bring Your Own Device (BYOD)
  • Emerging Technologies
Machine Learning and Automation :
*Hands-On Microsoft Azure - Introducing Azure Cognitive Services

  • Module 1 : Azure Cognitive Language Services
  • Module 2 : Azure Cognitive Speech Services
  • Module 3 : Azure Bot Services
  • Module 4 : Azure Cognitive Vision Services


Big Data Analytics : Insight to Action
Part 1 : Beginner level *Hands on - Python
  • Module 1:  Introduction to Big Data Analytics 
    • Understanding analytics 
  • Module 2:  Data visualization
    • Insight to action  
    • What is interactive Data Visualization
    • How to make your data work for you
    • Hands on - Microsoft Power Bi

Part 2 : Intermediate level 

  • Module 3: Introduction to Data Science & Predictive Analytics
    • Fundamental of Data Science -  Introduction to Predictive
    • Modelling Using Python Programming
  • Module 4: Machine Learning Models for Predictive
    • Predictive Analytics using Python Programming

AI and Automation 

*Hands on - Python

  • Fundamental of AI and Machine Learning
  • Analyze and design a small real world problem for implementation
  • Understand the dynamic behavior of a system using machine learning models.
  • Case study and exercise


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 Jafreezal Jaafar

Jafreezal Jaafar is an Associate Professor and currently the Dean of Faculty Science & Information Technology at Universiti Teknologi PETRONAS, Malaysia. He holds a PhD from University of Edinburgh, UK (2009). His main research areas include Big Data Analytics, Soft Computing and Software Engineering. He has secured a number of research projects from the industry and government agencies. Based on his publication track records he had been appointed as the Chief Editor and reviewer for several journals, and also the Chair, Technical Chair and committee for several International Conferences. He is also active in IEEE Computer society, Malaysia Chapter and has been appointed as the Executive Committee for 2016 and 2017.


  

2. Associate Professor Dr Izzatdin Abdul Aziz

Izzatdin Abdul Aziz is an Associate Professor and Deputy Head at the Centre for Research in Data Science (CeRDaS) in Universiti Teknologi PETRONAS (UTP), where he focuses on solving complex upstream Oil and Gas (O&G) industry problems from the view point of computer science. He obtained his Ph.D in Information Technology from Deakin University, Australia working in the domain of hydrocarbon exploration. Prior to his Ph.D, Izzatdin earned his Master’s degree in Information Technology specializing in Computer Networks from the University Of Sydney, Australia. Izzatdin has secured and delivered numerous computing-related O&G projects mainly relating to seismic data processing and implementation of workflows for processing hydrocarbon exploration dataset on cloud-based systems. He is working closely with O&G companies in delivering solutions for complex problems such as Offshore O&G pipeline corrosion rate prediction, O&G pipeline corrosion detection, securing data on clouds and designing and implementing Metocean prediction system. Additionally, he is also working on Big Data transmission, security and optimization problems on High Performance Computing Clusters. His research is mainly funded by the Petroleum Research Fund, PETRONAS and The Malaysian Ministry of Higher Education.



                




3. Ts Dr Norshakirah Bt Abdul Aziz 

Ts Dr Norshakirah Bt Abdul Aziz is a Senior Lecturer at the Computer and Information Sciences Department at Universiti Teknologi PETRONAS, Malaysia. Currently, she is a researcher at the UTP Centre of Research in Data Sciences (CeRDaS) and Data Governance Leader at High-Performance Cloud Computing Data Centre (HPCCC). She holds a Diploma in Management Technology, Bachelor's Degree in Information Technology (IT), MSc Degree in IT, and a PhD in e-SCM Integration & Collaboration. Also, she has a total of 16 years of experience gained from academic institutions and industry under her belt. Her industry working experience is related to Business Intelligence, E-Business, and IT Project Management. Her research scope covers Business Intelligence, Data Analytics, Data Governance, and Digital Addiction. Besides, she is a qualified Technologist Specialist (Ts), an HRDF Certified Trainer, and a present EXCO Committee Member for Data Science Association, Malaysia and also provided training to all management level for E-Procurement & E-Business short courses. 


  

4. Ts Dr Emelia Akashah P. Akhir 

Ts Dr Emelia Akashah P. Akhir is a lecturer at the Universiti Teknologi PETRONAS, Malaysia. She is a faculty member of Computer and Information Sciences Department and also attached to Centre for REsearch in Data Science (CeRDaS). She graduated from University of Brighton, UK with a PhD in Computing. She also an alumni of University of Surrey, UK where she obtained her MSc in Information System. Prior to that, she also holds her Diploma and First Class BSc (Hons) in Computer Science. Her research interest mainly includes but not limited to Data Management, Information and Business alignment, Data Governance, Data Quality and Information System. She is also currently involved data quality and Data Science research. She is a member for UK Association of Information Systems (UKAIS).



                




5. Dr. Mohd Hilmi Hasan 

Dr. Mohd Hilmi Hasan, is a Senior Lecturer at Universiti Teknologi PETRONAS (UTP), Malaysia. He obtained his Ph.D in Information Technology from UTP in 2017 with a research in the area of artificial intelligence, specifically Interval Type-2 fuzzy. He also graduated with a Master of Information Technology (eScience) from The Australian National University in 2004 and a Bachelor of Technology (Hons.) Information Technology from UTP in 2002. He has been teaching and being an active researcher at UTP since 2004. His research interest covers areas of artificial intelligence and data analytics. He has been appointed as a reviewer for Artificial Intelligence Review Journal (Q2 Journal) and many other international conferences. 


  

6. Dr. Said Jadid 

Dr. Said Jadid, is currently a Lecturer at the Department of Computer and Information Sciences, Universiti Teknologi PETRONAS (UTP). He holds a Degree in Computer Science from Moi University (2009), Master’s Degree in Computer Science from Universiti Teknologi Malaysia (2012) and a PhD in Information Technology from Universiti Teknologi PETRONAS (2016). His research interests are in the areas of Machine Learning (Supervised Learning) and Data Analytics (Predictive and Streaming Analytics). He has been appointed as a reviewer for Artificial Intelligence Review (Q2 Journal) and a technical committee for various international conferences. 



                




7. Dr Hitham Al-Hussian 

Dr Hitham Al-Hussian received his BSc and MSc in Computer Science from the School of Mathematical Sciences, University of Khartoum (UofK), Sudan. He obtained his PhD from Universiti Teknologi PETRONAS (UTP), Malaysia. Following his PhD, he worked as a Post Doctorate Researcher in the High-Performance Cloud Computing Center (HPC3) in UTP. He is currently, a Senior Lecturer in the department of Computer and Information Sciences in UTP and a core member of Centre for Research in Data Science (CERDAS). His main research interests include real-time parallel computing, big data and cloud computing, machine learning and data mining.

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REGISTRATION

FULLY FUNDED PROGRAM  BY KPT

*SUBJECTED TO TERM AND CONDITIONS

*FIRST COME, FIRST SERVE

*CERTIFICATE, ACCOMMODATION AND F&B DURING COURSE DAY WILL BE PROVIDED

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