Introduction

Industrial Process Automation in Chemical Engineering is a transformative training program designed to equip engineers, technicians, and industry professionals with cutting-edge skills in smart manufacturing, process control systems, PLC/DCS integration, and industrial digitization. As chemical industries evolve toward Industry 4.0, IoT-enabled plants, and AI-driven process optimization, automation has become the backbone of efficiency, safety, and productivity. Industrial Process Automation in Chemical Engineering Training Course provides a strong foundation in both theoretical and practical aspects of automated chemical process systems used in modern industries such as petrochemicals, pharmaceuticals, fertilizers, polymers, and refining.

With a strong focus on real-time process monitoring, SCADA systems, instrumentation, and control engineering, learners will gain hands-on expertise in designing, operating, and optimizing automated chemical plants. The program integrates advanced tools like PLC programming, MATLAB simulation, HMI design, and digital twin technology, enabling participants to solve real industrial challenges. By the end of the training, learners will be capable of implementing smart automation solutions that improve process efficiency, safety compliance, predictive maintenance, and operational excellence.

Programme Curriculum

Industrial Process Automation in Chemical Engineering Training Course

Introduction

Course Duration

5 days

Course Objectives

Understand fundamentals of Industrial Automation in Chemical Engineering
Master PLC (Programmable Logic Controller) programming and ladder logic
Implement DCS (Distributed Control Systems) in chemical plants
Develop expertise in SCADA systems and real-time monitoring
Apply Industry 4.0 concepts in chemical process industries
Design and analyze process control systems and feedback loops
Use smart sensors and industrial IoT (IIoT) integration
Perform process simulation using MATLAB and Aspen HYSYS
Implement HMI (Human Machine Interface) design and optimization
Understand industrial robotics and automation integration
Enhance predictive maintenance using AI and machine learning
Ensure process safety, hazard analysis, and compliance systems
Optimize energy efficiency and sustainable chemical production systems

Target Audience

Chemical Engineering Students
Process Engineers in Manufacturing Industries
Instrumentation & Control Engineers
Plant Operators in Chemical & Petrochemical Plants
Automation Engineers & Technicians
Quality Control & Process Optimization Specialists
Maintenance Engineers in Industrial Facilities
Professionals transitioning into Industry 4.0 automation roles

Course Modules

Module 1: Fundamentals of Industrial Automation

Introduction to automation in chemical industries
Evolution from manual to smart plants
Automation hierarchy
Overview of PLC, DCS, SCADA systems
Case Study: Automation upgrade in a fertilizer production plant improving yield by 18%

Module 2: PLC Programming & Applications

PLC architecture and working principles
Ladder logic programming basics
Timers, counters, and sequencing operations
PLC interfacing with chemical processes
Case Study: Automated reactor temperature control using PLC in a polymer plant

Module 3: SCADA Systems & Industrial Monitoring

SCADA architecture and components
Real-time data acquisition systems
Alarm management and event logging
Remote plant monitoring techniques
Case Study: SCADA implementation in a water treatment chemical facility

Module 4: Distributed Control Systems (DCS)

DCS architecture and configuration
Process loop control strategies
Redundancy and system reliability
Integration with field instruments
Case Study: DCS deployment in a crude oil refining unit for stability improvement

Module 5: Industrial IoT & Smart Sensors

IIoT architecture in chemical plants
Smart sensor networks and data flow
Cloud integration for process data
Cybersecurity in industrial systems
Case Study: IoT-based leak detection system in chemical storage tanks

Module 6: Process Control & Simulation

Feedback and feedforward control systems
PID tuning techniques
MATLAB & Aspen HYSYS simulation
Dynamic process modeling
Case Study: Simulation-based optimization of distillation column efficiency

Module 7: HMI Design & Operator Interface

HMI design principles
User interface optimization
Alarm visualization systems
Real-time process interaction
Case Study: HMI redesign reducing operator response time in a pharmaceutical plant

Module 8: AI, Predictive Maintenance & Smart Industry

Machine learning in process automation
Predictive maintenance strategies
Failure prediction models
Energy optimization techniques
Case Study: AI-based pump failure prediction in a petrochemical 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 PLC programming Instrumentation integration Process optimization

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

Oct 26 2026

26 Oct — 30 Oct 2026

💻 Online / Virtual session

Online $1,000