Introduction

Supervisory Control and Data Acquisition (SCADA systems) have become the backbone of modern process industries automation, enabling real-time monitoring, control, and optimization of critical industrial operations. In sectors such as oil & gas, power generation, water treatment, pharmaceuticals, and manufacturing, SCADA integrates industrial IoT (IIoT), PLCs, RTUs, and HMI systems to deliver seamless data acquisition and process visualization. With the rise of Industry 4.0, smart factories, and digital transformation, SCADA has evolved from traditional control systems into highly connected, cloud-enabled platforms that improve operational efficiency, predictive maintenance, and cybersecurity resilience.

SCADA Systems for Process Industries Training Course is designed to provide a comprehensive understanding of SCADA architecture, communication protocols, system integration, and real-world industrial applications. Participants will gain hands-on expertise in real-time data acquisition, alarm management, distributed control systems (DCS), OPC standards, and industrial cybersecurity frameworks. The course also emphasizes modern trends such as edge computing, AI-driven analytics, digital twins, and cloud SCADA solutions, ensuring learners are equipped with the latest skills required in today’s rapidly evolving industrial automation landscape.

Programme Curriculum

SCADA Systems for Process Industries Training Course

Introduction

Course Duration

5 days

Course Objectives

Master fundamentals of SCADA architecture and industrial automation systems
Understand real-time data acquisition and process control systems
Configure and program PLC, RTU, and HMI integration in SCADA networks
Apply OPC UA, Modbus, and industrial communication protocols
Develop skills in alarm management and event monitoring systems
Implement industrial cybersecurity for SCADA networks (ICS security)
Design Human Machine Interface (HMI) dashboards for process industries
Analyze data visualization and SCADA reporting tools
Explore cloud-based SCADA and remote monitoring systems
Integrate IIoT (Industrial Internet of Things) with SCADA systems
Apply predictive maintenance using SCADA data analytics
Understand DCS vs SCADA system architecture and applications
Implement Industry 4.0 smart factory automation solutions

Target Audience

Automation and Control Engineers
Electrical and Instrumentation Engineers
Process Plant Operators and Supervisors
Industrial Maintenance Technicians
Oil & Gas Industry Professionals
Power Plant Engineers and Technicians
Manufacturing and Production Managers
Engineering Students in Automation, Mechatronics, and Electrical fields

Course Modules

Module 1: SCADA Fundamentals & System Architecture

Overview of SCADA systems in process industries
Architecture-Master Terminal Unit (MTU), RTU, PLC
SCADA vs DCS comparison
SCADA hardware and software components
Real-time monitoring principles
Case Study: Water treatment plant SCADA implementation for real-time flow control

Module 2: Industrial Communication Protocols

Modbus TCP/RTU fundamentals
OPC UA architecture and interoperability
Profibus and Ethernet/IP networks
Data acquisition methods
Protocol troubleshooting techniques
Case Study: Oil refinery communication network optimization using OPC UA

Module 3: PLC, RTU & Field Devices Integration

PLC programming basics for SCADA
RTU configuration and remote operations
Sensor and actuator interfacing
Signal conditioning and data conversion
Industrial wiring standards
Case Study: Gas pipeline remote monitoring using RTU-based SCADA system

Module 4: HMI Design & Visualization Systems

HMI design principles and usability
SCADA dashboard development
Alarm visualization and event handling
Real-time graphical process representation
User interface optimization
Case Study: Power plant HMI redesign improving operator response time

Module 5: Alarm Management & Event Processing

Alarm prioritization techniques
Event logging and historical data analysis
Fault detection and diagnostics
Reducing alarm fatigue strategies
Notification systems and alerts
Case Study: Chemical plant alarm flood reduction using advanced filtering

Module 6: Industrial Cybersecurity for SCADA

SCADA security architecture
Firewall and intrusion detection systems
Risk assessment in ICS environments
Cyberattack prevention strategies
Compliance with ISA/IEC 62443 standards
Case Study: Cybersecurity breach prevention in smart manufacturing plant

Module 7: SCADA in IIoT, Cloud & Industry 4.0

Integration of IIoT with SCADA
Cloud-based SCADA platforms
Edge computing applications
Digital twin modeling
Predictive analytics in process industries
Case Study: Smart factory using cloud SCADA for predictive maintenance

Module 8: Advanced SCADA Applications & Optimization

Energy management systems
Process optimization techniques
Big data analytics in SCADA
Machine learning integration
System scalability and redundancy
Case Study: Oil & gas upstream optimization using AI-driven SCADA analytics

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

Supervisory control Data acquisition Real-time monitoring Process automation

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Sep 21 2026

21 Sep — 25 Sep 2026

💻 Online / Virtual session

Online $1,000