Advanced Certificate in Applied Automation in the Digital Economy Module 2: Advanced Robotics and Artificial Intelligence Applications
- Analytics & Tech
- Finance & Investment
- Innovation & Business Improvement
This module is conducted in-person.
2 Full Days (Weekdays)
Who Should Attend
- Professionals in robotics, automation, AI, and digital techology - including engineers, developers, data scientists, project managers, and researchers - looking to advance their skills in advanced robotics and AI applications.
PREREQUISITES
There are no prerequisites for this programme. Prior knowledge on any of the topics is not required.
Overview
Module 2 delves deeply into advanced robotics and artificial intelligence (AI) applications, providing partcipants with a comprehensive understanding of the latest advancements and their practical implications across industries. The module begins by exploring advanced robotics technologies, including collaborative robots (cobots), autonomous mobile robots, exoskeletons, and industrial automation solutions, covering design principles, control mechanisms, and programming techniques. Moving on, the module delves into the practical applications of AI across different domains such as manufacturing, healthcare, logistics and finance. It explores machine learning algorithms, natural language processing (NLP), computer vision applications, predictive analytics models, and AI-driven decision-making processes. Moreover, the module also emphasises the critical aspect of human-robot interaction, examining human-robot collaboration strategies to ensure safe and efficient interaction between humans and robots in shared workspaces. Lastly, the module addresses ethical implications related to AI technologies such as bias mitigation strategies in machine learning models or privacy concerns associated with data collection for AI applications. Through hands-on activities, case studies, and discussions, participants will be equipped with the knowledge and skills necessary to navigate the complexities of advanced robotics and AI applications responsibly and innovatively.
Learning Objectives
At the end of the 2-day module, participants will be able to:
- Understand the principles and concepts of advanced robotics and artificial intelligence, including machine learning algorithms, neural networks, and deep learning techniques
- Develop proficiency in programming languages commonly used in advanced robotics and artificial intelligence applications, such as Python or C++.
- Gain practical experience in designing and implementing robotic systems with integrated artificial intelligence capabilities for real-world industrial automation scenarios
- Analyse ethical considerations related to the use of advanced robotics and artificial intelligence technologies in the digital economy, including privacy concerns, job displacement, and societal impact
- Demonstrate the ability to troubleshoot complex issues that may arise when deploying advanced robotics and artificial intelligence solutions within a digital economy context, utilising problem-solving skills to optimise system performance
Assessment
As part of the requirement for SkillsFuture Singapore, there will be an assessment conducted at the end of the course. The mode of assessment, which is up to the trainer’s discretion, may be an online quiz, a presentation or based on classroom exercises.
Participants are required to attain a minimum of 75% attendance and pass the associated assessment in order to receive a digital Certificate of Completion issued by Singapore Management University.
Calculate Programme Fee
Fee Table
| COMPANY-SPONSORED | |||
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
|
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$654 (After SSG Funding 70%) |
$254 (After SSG Funding 70% |
$654 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$254 (After SSG Funding 70% |
$254 (After SSG Funding 70% |
$254 (After SSG Funding 70% |
|
International Participant |
$2,180 (No Funding) |
$2,180 (No Funding) |
$2,180 (No Funding) |
All prices include 9% GST
Please note that the programme fees are subject to change without prior notice.
Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.
Self Sponsored
SkillsFuture Credit
Singapore Citizens aged 25 and above may use their SkillsFuture Credits to pay for the course fees. The credits may be used on top of existing course fee funding.
This is only applicable to self-sponsored participants. Application to utilise SkillsFuture Credits can be submitted when making payment for the course via the SMU Academy TMS Portal, and can only be made within 60 days of course start date.
Please click here for more information on the SkillsFuture Credit. For help in submitting an SFC claim, you may wish to refer to our step-by-step guide on claiming SkillsFuture Credits (Individual).Workfare Skills Support Scheme
From 1 July 2023, the Workfare Skills Support (WSS) scheme has been enhanced. Please click here for more details.
Company Sponsored
Enhanced Training Support for SMEs (ETSS)
- Organisation must be registered or incorporated in Singapore
- Employment size of not more than 200 or with annual sales turnover of not more than $100 million
- Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
- Trainees must be Singapore Citizens or Singapore Permanent Residents
- Trainees must not be a full-time national serviceman
- Trainees are eligible for ETSS funding only if their company's SME status is approved prior to the course commencement date. To verify your SME's status, please click here.
Please click here for more information on ETSS.
Absentee Payroll
Companies who sponsor their employees for the course may apply for Absentee Payroll here. For more information, please refer to:
AP Guide (Non-SME Companies)
Declaration Guide (SME Companies)
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