MICRO-CREDENTIAL IN PROGRAMMABLE LOGIC CONTROL: INDUSTRIAL INTERNET OF THING (IIOT)

About this Module

What you will learn

This micro-credential focuses on the integration of Programmable Logic Controllers (PLCs) and the Industrial Internet of Things (IIoT) to enhance industrial automation and data-driven decision-making. Participants will gain a foundational understanding of PLC systems, including their operation, programming, and application in industrial settings. Furthermore, they will also explore the role of IIoT in connecting machinery, sensors, and devices for real-time monitoring and control.

What skills you will gain

Programmable logic Control with Internet of Thing18

Total contents and assessments

18 Videos, 3 learning activities,

Module Details

CLUSTER : Lifelong Learning ( LL )
MODE/DURATION : Flexible
LENGTH : 17 days
EFFORT : 1
LEVEL : Beginner
LANGUAGE : English
CERTIFICATE : Yes
CPD POINT : 0
PRICE : Free

Associated Course (s) :
No Course

 Syllabus

1.1 Introduction to Smart Manufacturing Concepts
1.2 Overview of PLC Hardware and Software Architecture
1.3 Fundamentals of IIoT and Its Role in Industrial Automation
1.4 Communication Protocols for PLC-IIoT Integration (e.g., MQTT, OPC UA)
1.5 Network Architecture for PLC-Based IIoT Systems
1.6 Edge Devices and Gateways in IIoT-Enabled PLC Systems
1.7 Real-Time Data Acquisition from PLCs via IIoT Platforms

2.1 Introduction to Predictive Maintenance and Its Benefits
2.2 Condition Monitoring Using Sensors Integrated with PLCs
2.3 Data Collection Techniques for Predictive Maintenance via IIoT
2.4 Implementing Threshold-Based Alerts and Alarms in PLCs
2.5 PLC Programming for Diagnostic and Prognostic Routines
2.6 IIoT Platforms for Predictive Analytics and Visualization
2.7 Data Logging, Tagging, and Cloud Storage for Maintenance Forecasting

3.1 Introduction to Cloud Computing in Industrial Automation
3.2 Role of PLCs in Cloud-Connected Control Systems
3.3 Cloud-Based Supervisory Control and Data Acquisition (SCADA)
3.4 Secure Data Transmission from PLCs to Cloud (e.g., TLS, VPNs)
3.5 Real-Time Analytics and Dashboarding from Cloud-Connected PLCs
3.6 Managing PLC Firmware and Logic Updates via the Cloud
3.7 Case Studies: Cloud-Enhanced Industrial Systems Using PLC and IIoT

Our Instructor

IR. DR. KHAIRUL AZMAN BIN AHMAD

Course Instructor
UiTM Kampus Permatang Pauh
4.3 (average sufo) instructor rating 14 course(s)

TS. DR. SAIFUL ZAIMY BIN YAHAYA

Course Instructor
UiTM Kampus Permatang Pauh
4.3 (average sufo) instructor rating 18 course(s)

IR. DR. ROZAN BOUDVILLE

Course Instructor
UiTM Kampus Permatang Pauh
4.3 (average sufo) instructor rating 12 course(s)

PROFESOR MADYA DR MUHAMMAD KHUSAIRI BIN OSMAN

Course Instructor
UiTM Kampus Permatang Pauh
4.3 (average sufo) instructor rating 12 course(s)