Introduction

Industrial Control Systems (ICS) Engineering in Manufacturing is a critical discipline that integrates automation technology, industrial networking, SCADA systems, PLC programming, and smart factory integration to optimize production efficiency, safety, and reliability. As modern manufacturing shifts toward Industry 4.0, IIoT (Industrial Internet of Things), and digital transformation, ICS professionals play a vital role in ensuring seamless control of machines, processes, and real-time data flow across production environments.

This training course provides a comprehensive foundation in industrial automation systems, control engineering, cybersecurity for ICS, PLC/DCS architecture, and manufacturing process optimization. Industrial Control Systems Engineering in Manufacturing Training Course is designed to equip learners with hands-on skills in designing, operating, and maintaining advanced control systems used in smart manufacturing plants, oil & gas facilities, automotive production lines, and process industries, aligning with global standards of operational excellence and digital manufacturing innovation.

Programme Curriculum

Industrial Control Systems Engineering in Manufacturing Training Course

Introduction

Course Duration

10 days

Course Objectives

Master fundamentals of Industrial Control Systems (ICS) architecture
Understand PLC programming and ladder logic design
Apply SCADA system configuration and monitoring techniques
Develop skills in DCS (Distributed Control Systems) operations
Implement industrial communication protocols (Modbus, Profibus, OPC UA)
Strengthen knowledge of industrial cybersecurity and risk mitigation
Optimize manufacturing process automation workflows
Integrate IIoT (Industrial Internet of Things) in production systems
Analyze and troubleshoot control system faults and failures
Design HMI (Human Machine Interface) dashboards for operators
Enhance real-time data acquisition and control strategies
Ensure compliance with industrial safety and quality standards
Apply predictive maintenance using smart sensor data analytics

Target Audience

Automation Engineers
Electrical Engineers
Manufacturing Plant Technicians
Industrial Maintenance Engineers
Control Systems Designers
Mechatronics Engineers
Process Engineers in Manufacturing
Technical Project Managers in Industrial Automation

Course Modules

Module 1: Introduction to Industrial Control Systems

ICS architecture overview
Types of control systems (open vs closed loop)
Manufacturing automation evolution
Key components of ICS
Case Study: Automotive assembly automation system design

Module 2: PLC Fundamentals

PLC structure and operation
Input/output modules
Scan cycle explanation
PLC hardware selection
Case Study: PLC-based conveyor control system

Module 3: Ladder Logic Programming

Basic ladder instructions
Timers and counters
Logic sequencing
Debugging PLC programs
Case Study: Bottling plant automation logic

Module 4: SCADA Systems

SCADA architecture
Data acquisition methods
Real-time monitoring
Alarm management
Case Study: Power distribution SCADA system

Module 5: Distributed Control Systems (DCS)

DCS architecture
Process control integration
Redundancy systems
Operator interface design
Case Study: Oil refinery process control

Module 6: Industrial Networking

Ethernet/IP, Modbus, Profibus
Network topology in factories
Communication protocols
Data transmission security
Case Study: Smart factory networking layout

Module 7: Industrial Sensors and Actuators

Sensor types and applications
Signal conditioning
Actuator control systems
Calibration methods
Case Study: Robotic arm sensor integration

Module 8: HMI Design and Implementation

Interface design principles
User experience in control systems
Alarm visualization
Touchscreen configuration
Case Study: Packaging machine HMI system

Module 9: Industrial Cybersecurity

ICS security threats
Firewall and segmentation
Secure remote access
Risk assessment strategies
Case Study: Cyberattack prevention in manufacturing plant

Module 10: IIoT in Manufacturing

IoT sensors integration
Cloud connectivity
Edge computing
Data analytics in production
Case Study: Smart predictive maintenance system

Module 11: Process Automation Systems

Continuous vs batch processes
Automation flow design
Control loop tuning
Efficiency optimization
Case Study: Chemical processing automation

Module 12: Troubleshooting and Diagnostics

Fault detection methods
Root cause analysis
Maintenance strategies
System recovery procedures
Case Study: Downtime reduction in FMCG plant

Module 13: Safety Instrumented Systems (SIS)

Safety lifecycle concepts
Risk mitigation layers
Emergency shutdown systems
Compliance standards
Case Study: Gas plant safety system

Module 14: Predictive Maintenance Systems

Condition monitoring tools
Vibration and thermal analysis
AI-based prediction models
Maintenance scheduling
Case Study: Smart turbine monitoring system

Module 15: Smart Factory Integration

Industry 4.0 frameworks
Digital twin technology
ERP integration
Real-time optimization
Case Study: Fully automated smart manufacturing plant

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Control systems Process automation System integration Industrial monitoring

Programme Fee

Duration: 10 Days

Method: Online or Physical

Online Price: $2,000

Physical Price: $3,000

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 30 Oct 2026

💻 Online / Virtual session

Online $2,000