Advanced Industrial Automation and Factory Control Systems Training Course

Course Introduction

The Advanced Industrial Automation and Factory Control Systems Training Course is designed to provide professionals with comprehensive knowledge and practical expertise in modern industrial automation technologies, control architectures, and intelligent manufacturing systems. As industries continue adopting digital transformation strategies, advanced automation has become essential for improving productivity, reliability, safety, and operational excellence.

This comprehensive training program explores industrial control systems, programmable logic controllers, supervisory control and data acquisition systems, distributed control systems, automation networks, and smart manufacturing technologies. Participants will gain a detailed understanding of how integrated automation solutions support efficient production, real-time monitoring, process optimization, and improved decision-making across industrial facilities.

Participants will develop practical skills in automation system design, control strategy development, instrumentation integration, industrial communication networks, and factory-level automation management. The course demonstrates how advanced control technologies can improve equipment performance, reduce operational risks, increase production flexibility, and enable highly efficient manufacturing environments.

The course also addresses emerging developments transforming industrial automation, including Industry 4.0, industrial Internet of Things, artificial intelligence-based control, digital twins, autonomous systems, edge computing, and advanced industrial analytics. Participants will understand how these technologies enable connected factories, intelligent operations, and adaptive production systems.

Through practical exercises, automation case studies, control system demonstrations, and implementation activities, participants will learn how to evaluate, design, and optimize industrial automation solutions. The course emphasizes real-world applications that help organizations enhance process control, improve operational visibility, minimize downtime, and achieve sustainable manufacturing improvements.

Upon successful completion of the course, participants will possess advanced competencies required to manage industrial automation projects and factory control systems. They will be prepared to implement modern automation strategies, integrate intelligent technologies, optimize control performance, and contribute to the development of future-ready smart manufacturing facilities.

Duration

10 days

Who Should Attend

• Industrial Automation Engineers

• Control System Engineers

• Electrical Engineers

• Instrumentation Engineers

• Manufacturing Engineers

• Process Automation Specialists

• Production Managers

• Plant Operations Managers

• Maintenance and Reliability Engineers

• Industry 4.0 Specialists

• Smart Factory Consultants

• PLC Programmers

• SCADA System Engineers

• Distributed Control System Engineers

• Engineering Project Managers

• Manufacturing Technology Professionals

• System Integration Engineers

• Process Engineers

• Industrial IT Professionals

• Professionals involved in automation modernization projects

Course Objectives

• Develop advanced understanding of industrial automation concepts and their applications in modern manufacturing facilities.

• Understand the architecture and operation of advanced factory control systems used in industrial environments.

• Learn PLC, SCADA, and DCS technologies for effective industrial process automation applications.

• Develop skills in designing reliable automation systems that improve production efficiency and operational control.

• Understand industrial communication networks and their role in connected automation environments.

• Apply control strategies to optimize manufacturing processes, equipment performance, and system reliability.

• Learn methods for integrating instrumentation, sensors, actuators, and automation components effectively.

• Explore artificial intelligence and digital technologies applied to advanced industrial automation systems.

• Understand cybersecurity requirements for protecting modern industrial control infrastructure.

• Learn approaches for implementing Industry 4.0 technologies within automated manufacturing facilities.

• Examine emerging automation trends including autonomous factories, digital twins, and intelligent control systems.

• Build professional capabilities required to manage automation projects and factory control improvements.

Comprehensive Course Outline

Module 1: Fundamentals of Advanced Industrial Automation

• Understanding the evolution and importance of industrial automation technologies in manufacturing

• Exploring automation hierarchy, control levels, and integrated factory architectures

• Identifying major components used in modern industrial automation systems

• Evaluating benefits and challenges of advanced automation implementation

Module 2: Industrial Control System Architecture

• Understanding the structure and design principles of industrial control systems

• Exploring centralized, distributed, and hybrid control system architectures

• Integrating automation layers from field devices to enterprise systems

• Designing scalable control architectures for industrial applications

Module 3: Programmable Logic Controllers and Applications

• Understanding PLC hardware, programming concepts, and industrial applications

• Developing PLC-based control strategies for automated production systems

• Integrating PLCs with sensors, actuators, and industrial equipment

• Optimizing PLC performance for reliable manufacturing operations

Module 4: Supervisory Control and Data Acquisition Systems

• Understanding SCADA architecture and industrial monitoring applications

• Designing effective operator interfaces and visualization systems

• Managing real-time industrial data collection and analysis

• Improving operational decisions through SCADA-based monitoring

Module 5: Distributed Control Systems and Process Automation

• Understanding DCS architecture for complex industrial processes

• Applying distributed control strategies in continuous manufacturing operations

• Integrating process instrumentation with advanced control platforms

• Improving process stability through optimized control methods

Module 6: Industrial Instrumentation and Control Devices

• Understanding sensors, transmitters, and actuators used in automation systems

• Selecting appropriate instrumentation for industrial control applications

• Integrating measurement devices into automated processes

• Improving control accuracy through advanced instrumentation techniques

Module 7: Industrial Communication Networks

• Understanding industrial Ethernet and automation communication technologies

• Exploring fieldbus systems and industrial networking protocols

• Designing reliable communication infrastructure for factory automation

• Managing network performance in connected industrial environments

Module 8: Advanced Control Strategies

• Understanding feedback, predictive, and adaptive control techniques

• Applying advanced control methods for process optimization

• Improving system response through intelligent control algorithms

• Evaluating automation performance using control analysis methods

Module 9: Factory Automation and Smart Manufacturing

• Integrating automation systems into smart manufacturing environments

• Connecting production equipment through intelligent factory platforms

• Improving manufacturing flexibility through advanced automation

• Supporting digital transformation using automated production systems

Module 10: Industrial Robotics and Automation Integration

• Integrating robotic systems with factory control architectures

• Coordinating robots, machines, and production equipment effectively

• Applying automation technologies for flexible manufacturing operations

• Improving productivity through integrated robotic automation

Module 11: Industrial IoT and Connected Control Systems

• Understanding Industrial Internet of Things applications in automation

• Connecting industrial devices for real-time operational intelligence

• Managing industrial data generated by connected automation systems

• Applying IIoT technologies for improved factory performance

Module 12: Artificial Intelligence in Industrial Automation

• Exploring artificial intelligence applications in industrial control systems

• Applying machine learning for predictive automation decisions

• Developing intelligent monitoring and optimization solutions

• Understanding future AI-driven autonomous factory operations

Module 13: Digital Twins and Virtual Factory Control

• Understanding digital twin technologies for automation system optimization

• Creating virtual representations of industrial processes and equipment

• Using simulation models for control system improvement

• Integrating digital twins with real-time factory operations

Module 14: Industrial Automation Cybersecurity

• Understanding cybersecurity risks affecting industrial control systems

• Implementing protection strategies for automation infrastructure

• Managing secure communication across industrial networks

• Developing resilient and secure factory control environments

Module 15: Emerging Trends in Industrial Automation

• Exploring autonomous factories and next-generation automation technologies

• Understanding Industry 5.0 and human-centered automation developments

• Evaluating advanced edge computing applications in control systems

• Examining future challenges and opportunities in industrial automation

Module 16: Integrated Factory Automation Project

• Developing complete automation solutions for industrial applications

• Applying control system concepts to practical manufacturing challenges

• Evaluating automation improvements and operational benefits

• Creating implementation strategies for advanced factory control systems

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.