“100% FREE AIoT Training for SMEs – Fully Sponsored by Rise4wrd!”
Future-proof your business with Artificial Intelligence & IoT—specially designed for SME growth, at ZERO cost!”
RiSE4WRD for Industry4WRD is HRD Corp’s initiative to support the national agenda of embracing the Fourth Industrial Revolution (IR 4.0). This programme is designed to assist Small and Medium Enterprises (SMEs) in the manufacturing and related sectors to start or accelerate their digital Transformation journeys.
Focus area:
Connectivity, automation, cyber security, Internet of Things (IoT), AI, cloud computing, big data, advanced stimulation, autonomous systems, universal integration, augmented reality and additive manufacturing or any relevant technology.
As a leading provider of Smart Manufacturing training, AIoTmission is pleased to offer two comprehensive training programs, available in both 2-day and 3-day formats.”
1. Enhancing Manufacturing Efficiency with AIoT-Driven OEE & Quality Control ( 2 days )
Optimize Your Manufacturing Efficiency with AIoT Solutions
Course Overview – Enhancing Manufacturing Efficiency with AIoT-Driven OEE & Quality Control
Training Highlights
- Learn to implement open IIoT protocols, real-time data acquisition, and smart monitoring tools (e.g., SCADA, HMI).
- Gain hands-on experience with computer vision AI models for defect detection and real-time object tracking on production lines.
- Understand how AI and IIoT integration can drive OEE improvements and reduce the Six Big Losses.
- Explore real-world case studies of smart factories leveraging AI and IoT for digital transformation.
Who Should Attend?
This 2-day AI & IoT training is designed for:
- SME Business Owners & Decision-Makers – Understand how AIoT can reduce costs, improve efficiency, and drive ROI in manufacturing.
- Factory & Production Managers – Learn how to track OEE, minimize downtime, and optimize production using real-time IoT monitoring.
- Manufacturing & Process Engineers – Gain hands-on experience in AI-driven predictive maintenance and smart automation.
Quality Control (QC) Managers & Supervisors – Improve defect detection, quality control, and waste reduction using AI-powered vision systems. - IT & Automation Specialists – Discover how to integrate AI & IoT solutions into manufacturing systems for smarter operations.
Why Should You Join This Course?
Improve OEE & Reduce Six Big Losses – Learn how AI & IoT technologies help track machine efficiency, reduce unplanned downtime, and eliminate production losses.
Enhance Quality Control with AI – Use AI-powered vision systems to detect defects, improve product quality, and minimize rework & scrap.
Optimize Workforce & Automation – Reduce manual labor with AIoT-driven automation, leading to higher productivity with fewer resources.
Hands-On Learning & Real-World Case Studies – Practical IoT sensor integration, AI-driven analytics, and automation strategies tailored for SMEs.Learning Outcomes
After attending the training, the attendees should be able to:- ✔️ Be able to design and implement an IIoT setup using open protocols to collect and monitor machine data in real-time.
- ✔️ Be able to build and apply deep learning models for automated visual inspection and object detection in manufacturing environments.
- ✔️ Have the ability to Utilize HMI/SCADA tools to visualize machine performance and track key production metrics like OEE.
- ✔️ Identify and address the Six Big Losses in manufacturing using insights derived from IIoT and AI-based solutions
2. Intelligent Industry 5.0: Boosting Quality & Efficiency with AI, IoT & Cloud Technologies ( 3 days )
Overview – Intelligent Industry 5.0: Boosting Quality & Efficiency with AI, IoT & Cloud Technologies
As industries move beyond automation into the era of Industry 4.0 to 5.0, the integration of human-centric technologies like AI, Industrial IoT, and Cloud Computing becomes essential to achieve new levels of efficiency, quality, and resilience. This advanced 3-day training equips participants with the tools and hands-on experience to connect machines, analyze data intelligently, and implement smart systems that can predict, adapt, and optimize in real-time.
From connecting shop floor devices and deploying AI-powered vision systems, to streaming operational data to the cloud and building predictive models, attendees will gain a complete understanding of how digital transformation enables flexible, high-performance manufacturing.
💡 What You’ll Learn
How to architect IIoT systems for real-time machine visibility and performance tracking.
How to apply computer vision AI for quality inspection and process automation.
How to integrate cloud platforms to centralize, visualize, and act on factory data.
How to develop predictive analytics and anomaly detection models to reduce downtime and improve planning.
This training is 100% funded by HRDC under the Rise4wrd grant, making it a cost-free opportunity for eligible SMEs to upskill their workforce and drive digital transformation.
Course Duration: 3 Days
✅ Who Should Attend?
🔹 SME business owners & decision-makers
🔹 Factory managers & production supervisors
🔹 Manufacturing engineers & IT teams
🔹 HR & training managers seeking digital transformation opportunities
✅ Why This Course?
✔ Practical & Hands-on – Learn by doing with real-world case studies
✔ Cost-Effective – Discover affordable AIoT solutions tailored for SMEs
✔ High Business Impact – Gain insights into ROI and digital adoption strategies
✔ Industry-Expert Trainers – Delivered by AIoT professionals
Course Structure & Key Takeaways
Day 1 – Industrial IoT & Smart Connectivity ( Boosting efficiency with OEE)
Summary:
Explore the foundations of IIoT, open protocols, and real-time data acquisition for smarter production monitoring.
Key Takeaways:
- Deploy IIoT connectivity with open protocols
- Monitor real-time machine data using SCADA/HMI
- Identify and address the Six Big Losses using OEE metrics
Day 2 – Deep Learning Vision AI for Quality
Summary:
Apply deep learning models for automated visual inspection and real-time tracking on production lines.
Key Takeaways:
- Build CNN models for defect detection
- Implement object detection/tracking with YOLO
- Enhance quality control and reduce inspection time
Day 3 – Cloud & Predictive AI Integration
Summary:
Integrate IIoT data with cloud platforms and develop AI models for predictive maintenance and anomaly detection.
Key Takeaways:
- Stream machine data to cloud dashboards
- Build AI models for prediction and anomaly alerts
- Enable data-driven decision-making across operations
Don't Miss Out - The Grant is running out Fast !
🔹 Apply for the Rise4wrd Grant Now
🔹 Talk to an Advisor – Have questions? Get expert guidance! fill the form below:
You may reach us directly by calling +603-77731203 or whatsapp to 0179698026
ELIGIBILITY OF COMPANIES PARTICIPATING UNDER RiSE4WRD
a. Focus will be for SME companies from manufacturing & its related services and must be registered with HRD Corp and without levy arrears.
b. Companies in the manufacturing sector or manufacturing related services incorporated under the Companies Act 2016.
c. The company in the manufacturing sector – Annual sales from RM300,000 to not more than RM50 million or has employees from 5 to not more than 200 people.
d. The company in manufacturing-related services – Annual sales from RM300,000 to not more than RM20 million or employees from 5 to not more than 75 people.
e. The company has at least 60% local equity.
f. The company has been operating for at least 36 months.
g. Possess a valid business license and/or Manufacturing License (ML).
h. Single client limit where only one (1) company in a group of related companies is allowed to benefit from the RiSE4WRD Initiative.
i. Applicant companies are required to complete a new self assessment form to confirm that their category in the Manufacturing Sector or Manufacturing Related Services
(MRS) and that they comply with the latest requirements for this
