Artificial Intelligence

Smart Factory takes current manufacturing processes to Industry 4.0 standard: highly agile, efficient and automated production lines capable of data generation and collation.

Combined with analytics and machine learning, the factory of the future will have predictive and prescriptive capabilities, contributing to higher productivity & boundless innovation.

The Malaysian Smart Factory (MSF) 4.0 program @ SHRDC offers smart factory competency training through hands-on and online/remote learning approaches, ideal for relevant skillset and talent development towards an Industry 4.0 ready workforce in Malaysia.

Training Methodology

Participants are exposed to theoretical fundamentals and demonstrations of information technology related to smart factory competencies and processes, followed by hands-on activities to support application of competencies acquired.

Computer Vision Deep with Learning for Smart Factory

This program provides hands-on technical training on Deep Learning for Computer Vision application through an integrated platform.

This program would provide technical hands-on competencies for participants to setup computer vision based projects, which includes gathering the required datasets, dataset labelling and annotation, training deep learning models, and deploying deep learning models to carry out computer vision tasks and application.

These steps are core requirements to ensure a successful implementation of computer vision projects and applications. Participants would also be able to deploy the computer vision application through other software applications such as Node-Red through MQTT protocol for developing interactive dashboard interfaces for industry use cases and applications.

Who Should Attend?

Engineers, Technicians, Technical Managers, Production Managers, Academia with relevant background.

Learning Outcomes:

• Provide detailed definition of deep learning and describe the basic structure of neural network.
• Provide detailed definition of computer vision and describe the differences between image classification, object detection and image segmentation tasks.
• Perform the necessary methodologies for Computer Vision projects using Deep Learning
• Utilize data labelling and annotation software to perform data annotation on various computer vision tasks.
• Utilize the relevant software platform to train and deploy deep learning
  model(s) for computer vision application(s).
• Utilize Node-RED to develop interactive user interfaces to control and monitor the computer vision task and application(s).

Course Duration: 5 Days

Generative AI: Prompt Engineering Essentials for Industry 4.0

The Generative AI: Prompt Engineering Essentials for Industry 4.0 program provides a comprehensive understanding of Generative AI, emphasizing the empowerment of participants to tailor solutions to their unique use cases using low-code Generative AI development tools. Through a blend of theoretical insights and hands-on experiences, participants will be adept at harnessing the adaptability of Generative AI to address specific business challenges.

This program would provide participants with the opportunity to implement Generative AI tools at their workplace in a scalable manner which encourages sustainable digital adoption and transformation within an organization.

The participants would be exposed to potential use cases of Generative AI in different areas of work to generate new ideas which suits their organization’s business objectives.

Who Should Attend?

• Engineers and Technicians involved in the development and implementation of AI solutions.
• Technical Managers overseeing AI and digital transformation projects.
• Production Managers keen on integrating AI-driven solutions into their operations.
• Marketing Professionals looking to leverage AI for customer insights, content generation, and campaign optimization.
• Sales Executives interested in harnessing AI for lead generation, customer engagement, and sales forecasting.
• Academia and Researchers focused on the intersection of AI and industry applications.
• Business Strategists and Consultants aiming to integrate AI solutions for business growth and efficiency.
• Entrepreneurs and Start-up Founders keen on embedding AI capabilities into their products or services.

Learning Outcomes:

• Explain the fundamentals of Generative AI and their potential applications in their organizations.
• Utilize Generative AI development tool to assist in developing use cases to assist in strategic decision making within their organizations.
• Design and develop Generative AI use cases for various business applications.
• Identify the ethical considerations and legality of implementing Generative AI.
• Identify opportunities for Generative AI in their organizational operations and business objectives to develop a tailored implementation plan for their organizations.

Course Duration: 5 Days