QUICK OVERVIEW
This training program provides a comprehensive overview of AI Deep Learning using Python programming. It covers essential concepts from Introduction to Artificial Intelligence to Practical Hands-on Deep Learning Neural Networks in Python. Participants will gain insights into machine learning and deep learning's industrial applications, understand deep learning neural networks' architecture, and learn to set up the environment for practical implementation. The training emphasizes hands-on experience, ensuring participants are equipped with the knowledge and skills to apply AI Deep Learning techniques in real-world scenarios.

WHO SHOULD ATTEND
Professionals and enthusiasts interested in AI, machine learning, and deep learning, with prior knowledge of Python Programming Language.

VENUE, DATE & TIME
Sains@USM, 2.00pm – 5.00pm
F2F Classroom Training
27th June 2024 (Thursday)

COURSE FEE
FREE

INSTRUCTOR PROFILE
Dr. Muhammad Imran Sarwar is Industry 4.0 Evangelist and Head of Technology, who demystifies Industry 4.0 landscape and its disruptive technologies. With more than 16 years of Industrial experience, Dr. Imran is working closely with organizations in their journey of embracing digital transformation by contributing in readiness assessment, roadmap implementation, R&D, up-skill and re-skill strategies, solution architecture, prototyping and deployment strategies for Smart Manufacturing 4.0, Smart City, Smart Supply Chain and Smart Construction 4.0. These solutions leverage the Industrial Internet of Things (IIoT), autonomous machines, Cloud & DevOps infrastructure, Big Data & Analytics along with Machine Learning, AR and Blockchain.

QUICK OVERVIEW
The FPGA design process involves several stages, including system specification, design entry, synthesis, place and route, and verification. System Specification: Similar to the ASIC design process, the first step in FPGA design is defining the system requirements and specifications.

WHO SHOULD ATTEND
Targeted to engineers, technicians, supervisors and managers.

VENUE, DATE & TIME
Remote Online Training,
2.00pm – 5.00pm
26th June 2024 (Wednesday)

COURSE FEE
FREE

INSTRUCTOR PROFILE
Daniel Kho spent the most part of his 20+ years of experience working on digital IP design and test. Throughout his career, he has designed and verified safety- and mission-critical digital signal processing (DSP) and reduced-instruction-set computer (RISC) processor subsystems, some of which have either been deployed in some of the world’s best-selling systems, or used to enable the rapid deployment of such systems. He has deep experience designing complex SoC subsystems and bus interfaces, and pioneered

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> This Introduction aims to equip participants with structured strategies to resolve conflicts in personal and professional contexts, enhance problem-solving and collaboration skills, and transform conflicts into valuable opportunities for improvement.
> During this interactive and engaging program, you will learn effective techniques to identify the early signs of conflict within a team and develop the necessary skills to address them proactively.

WHO SHOULD ATTEND
This Workshop is targeted to executives, engineers, technicians, supervisors and managers.

VENUE, DATE & TIME
Zoom Online Platform,
9.00am – 12.00pm
26th June 2024 (Wednesday)

COURSE FEE
FREE

INSTRUCTOR PROFILE
Ms Terumalar Devi Thanabal has a vast experience working in the field of Operations Training Administration, Chemical & Logistics Planner and Accounting with Esso Malaysia Berhad (ExxonMobil) for 10 years. As she was moving up in her career, she found her interest in helping individuals in both communication and relationship. Her passion today is reaching out to both adults and youth to “inspire and empower lives” by equipping them with the message of Law of Attraction. Devi is a Certified Law of Attraction Facilitator with Michael J. Losier (acclaimed international speaker, trainer and author of the bestselling book “Law of Attraction”). Her main focus is in helping individuals, businesses and organisations to improve their performance and achievements using effective tools, techniques and simple formulas.

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This module explores the implementation of Environmental, Social, and Governance (ESG) principles within the framework of Lighthouse 4.0, leveraging 4th Industrial Revolution (4IR) technologies. Participants will gain an understanding of ESG, its objectives, and its importance. They will learn how ESG aligns with the United Nations Sustainable Development Goals (UN SDGs) and how to apply key 4IR technologies to achieve ESG objectives. The module will include use cases that align with WDC Sustainability Goals, focusing on environmental, social, governance, and integrated sustainable manufacturing.

WHO SHOULD ATTEND
Executives, Managers, Senior Managers, Directors and Decision Makers.

VENUE, DATE & TIME
Sains@USM, 9.00am – 12.00pm
F2F Classroom Training
27th June 2024 (Thursday)

COURSE FEE
FREE

INSTRUCTOR PROFILE
Dr. Muhammad Imran Sarwar is Industry 4.0 Evangelist and Head of Technology, who demystifies Industry 4.0 landscape and its disruptive technologies. With more than 16 years of Industrial experience, Dr. Imran is working closely with organizations in their journey of embracing digital transformation by contributing in readiness assessment, roadmap implementation, R&D, up-skill and re-skill strategies, solution architecture, prototyping and deployment strategies for Smart Manufacturing 4.0, Smart City, Smart Supply Chain and Smart Construction 4.0. These solutions leverage the Industrial Internet of Things (IIoT), autonomous machines, Cloud & DevOps infrastructure, Big Data & Analytics along with Machine Learning, AR and Blockchain.

QUICK OVERVIEW
The course begins with an introduction to ESD. Advancement in the field of electronics has made gadgets more compact, faster and cheaper. This has resulted in indirectly resulted in electronic components that are becoming more and more sensitive to ESD. Fundamentals of ESD covers the important concepts of ESD such as concepts of Faraday caging, laws of induction etc. These concepts are critical in order to understand how ESD becomes a threat to our electronic industries. Armed with the important concepts of ESD, the course then focus on how to prevent and protect ESD sensitive components.

WHO SHOULD ATTEND
This is open to all level of staff such as Technicians, Supervisors, Engineers, Officers, Managers, etc.

VENUE, DATE & TIME
Face-to-face,
2.00pm – 5.00pm
25th June 2024 (Tuesday)

COURSE FEE
FREE

INSTRUCTOR PROFILE
Yeoh Guan Keat graduated from the University of Essex, United Kingdom with a B.SC (Hons) in Computer & Communication Engineering. He joined Intel in 1981 after spending a year in TI Singapore as a Product Engineer for SRAM and ROM products. During his 26 years at Intel, he was exposed to Product, Process, and customer Quality Management as well as Business Development practices. He was Intel Site Manager of the Mulit-Super Corridor project in Kuala Lumpur, Malaysia managing Intel’s software development, silicon design & IT services businesses, etc. His expertise lies in his proficiency in preparing process control documents and internal specifications covering processes, procedures, systems, and products used in conjunction to control electrostatic problems in the workplace. A complete ESD control program extends beyond just the technical aspect of the subject matter but also covers the business management part of it. This is where ESD Consulting provides total ESD solutions from both technical and administrative perspectives in resolving ESD issues

QUICK OVERVIEW
From healthcare and automotive to robotics and security,image processing plays a crucial role in enhancing capabilitiesand improving outcomes. However, engineers and researchersoften encounter technical challenges, such as dealing withimage quality and object image variations. Join us for an insightful webinar where we explore cutting-edgeadvancements in image processing and how these techniquesare transforming various industries.

WHO SHOULD ATTEND
 Engineers and researchers working in industries such ashealthcare, automotive, entertainment, and security who wantto enhance their understanding of image processing (R&D, AIEngineer, Devs, Perception Engineer, Image Analyst, IPCVengineer)

VENUE, DATE & TIME
Sains@USM, 3.00pm – 4.00pm
Online via Zoom
25th June 2024 (Tuesday)

COURSE FEE
FREE

INSTRUCTOR PROFILE
Rasyiqah Annani Mohd Rosidi is an Application Engineer specializing in the domains of ImageProcessing, Computer Vision, Machine Learning, and Deep Learning withMATLAB. She leverages her expertise to assist diverse clients from variousindustries in a wide range of projects, including Real-time Object Recognition,Deep Learning and Computer Vision-based detection of manufacturing defects,data forecasting analytics, and multiple image processing endeavors.