AIPAM: AI TECHNOLOGIES USING PYTHON FOR ADVANCED MANUFACTURING
AI TECHNOLOGIES USING PYTHON FOR ADVANCED MANUFACTURING
Course Duration
Mode of Assessment
Practical Assessment
Who Should Attend
- Plant Engineers and Technicians
- Manufacturing Engineer
- Production Lead
- Data Analyst
- Maintenance Technician
Course Overview
This course empowers manufacturing professionals by imparting knowledge and skills to harness artificial intelligence (AI) using the Python programming language. In the Industry 4.0 era, where smart technologies shape manufacturing, the program offers a deep understanding of integrating AI to improve efficiency, productivity, and decision-making. It covers Python fundamentals and applies AI, including machine learning and data analytics, to address challenges in advanced manufacturing. Through hands-on exercises, participants solve manufacturing-specific problems, gaining practical insights from predictive maintenance to quality control. By course end, attendees will be well-versed in Python-based AI technologies, ready to drive innovation in the evolving manufacturing landscape.
Below are Additional Support Available:
- Additional SkillsFuture Credit (Mid-Career Support)
- Workfare_Absentee Payroll
- Workforce_Training Allowance
- Workfare_Training Commitment
Check Workfare Skills Support (WSS) scheme for more information.
In Partnership with
Course Schedule
Next available schedule
Course Objectives
This course aims to equip students with AI technologies and Industry 4.0 knowledge and skills needed to understand the development of intelligent manufacturing supply chain and connected systems, as well as to apply AI techniques to a variety of industrial problems. The focus of the course is to provide a comprehensive understanding of technologies and methodologies that are driving Industry 4.0.
Course Outline
The course will cover the topics of AI such as:
- The fundamentals of AI, machine learning, and deep learning.
- The principles of Industry 4.0, including the Internet of Things (IoT), big data, and cloud computing.
- The application of AI in various industrial domains, such as predictive maintenance, process optimization, and autonomous systems.
Certificate Obtained and Conferred by
- Certificate of completion from NTUC LearningHub
Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from NTUC LearningHub.
Additional Details
Medium of Instruction: English
Trainer to trainee ratio: 1:16
Mode of Delivery: Physical class
Price
Course Fee and Government Subsidies |
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Individual Sponsored |
Company Sponsored |
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Non-SME |
SME |
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Before GST |
After GST |
Before GST |
After GST |
Before GST |
After GST |
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Full Course Fee |
$770.00 |
$839.30 |
$770.00 |
$839.30 |
$770.00 |
$839.30 |
For Singapore Citizens aged 39 years and below |
$231.00 |
$251.79 |
$231.00 |
$251.79 |
$77.00 |
$97.79 |
For Singapore Citizens aged 40 years and above |
$77.00 |
$97.79 |
$77.00 |
$97.79 |
$77.00 |
$97.79 |
Funding Eligibility Criteria
Individual Sponsored Trainee |
Company Sponsored Trainee |
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Remarks
Individual Sponsored Trainee |
Company Sponsored Trainee |
SkillsFuture Credit:
Training Allowance (TA) for self-sponsored trainees:
PSEA:
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Absentee Payroll (AP) Funding:
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Terms & Conditions apply. NTUC LearningHub reserves the right to make changes or improvements to any of the products described in this document without prior notice.
Prices are subject to other LHUB miscellaneous fees.
Batch ID | Course Period | Course Title | Funding Available |
Duration (Hours) |
Session (Hours) |
Venue | Available Seats |
Online Payment |
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