Process Instrumentation, Automation and Advanced Control Training Course

Course Introduction

Process instrumentation and automation are fundamental to achieving safe, reliable, efficient, and profitable industrial operations. Modern manufacturing plants rely on intelligent measurement systems, advanced control strategies, automation platforms, and integrated digital technologies to maintain product quality, optimize energy consumption, minimize downtime, and improve operational performance. Engineers and technical professionals must possess comprehensive knowledge of instrumentation principles, control system architecture, industrial communications, and process optimization to successfully design, operate, and maintain automated facilities. This Process Instrumentation, Automation and Advanced Control Training Course provides participants with practical engineering expertise in the design, implementation, operation, and optimization of modern industrial instrumentation and control systems across diverse process industries.

Today's industrial facilities require highly integrated automation systems capable of managing increasingly complex processes while maintaining operational flexibility, safety, cybersecurity, and regulatory compliance. Participants will explore the principles of process measurement, sensors, transmitters, final control elements, programmable logic controllers (PLCs), distributed control systems (DCS), supervisory control and data acquisition (SCADA), industrial networks, human-machine interfaces (HMIs), and advanced process control technologies. The course emphasizes engineering methodologies for selecting appropriate instrumentation, configuring automation architectures, optimizing control loops, and improving plant-wide performance using proven engineering practices and internationally recognized standards.

The course combines theoretical knowledge with practical engineering applications through design workshops, industrial case studies, simulation exercises, troubleshooting sessions, and real-world automation projects. Participants will strengthen their ability to perform instrument selection, loop tuning, control strategy development, process modeling, signal analysis, calibration planning, functional safety assessment, alarm management, and performance optimization. Practical exercises expose participants to challenges encountered in chemical plants, refineries, power stations, pharmaceutical facilities, food processing plants, water treatment facilities, and other highly automated manufacturing environments.

Rapid advances in Industry 4.0 technologies have transformed process automation by introducing Artificial Intelligence (AI), machine learning, Industrial Internet of Things (IIoT), edge computing, cloud analytics, digital twins, advanced diagnostics, predictive maintenance, robotics, and intelligent decision-support systems. Participants will examine how these technologies improve process monitoring, predictive control, asset management, operational visibility, cybersecurity, and engineering decision-making while supporting smart manufacturing and autonomous industrial operations. Emerging digital engineering trends are integrated throughout the course to prepare professionals for future industrial environments.

The course also emphasizes process safety, cybersecurity, sustainability, energy efficiency, emissions reduction, and operational resilience. Participants will study safety instrumented systems (SIS), emergency shutdown systems (ESD), alarm rationalization, cybersecurity frameworks, secure industrial communication protocols, energy management strategies, and environmentally responsible automation practices. Special attention is given to balancing productivity improvements with regulatory compliance, environmental stewardship, and long-term asset reliability through advanced instrumentation and intelligent automation solutions.

Upon successful completion of this training course, participants will possess advanced competencies in process instrumentation, industrial automation, advanced control strategies, digital engineering technologies, and smart manufacturing systems. They will be capable of designing reliable instrumentation systems, optimizing process control performance, improving operational efficiency, reducing maintenance costs, strengthening cybersecurity, enhancing plant safety, and implementing innovative automation solutions that deliver measurable operational, environmental, technical, and economic benefits across modern industrial facilities.

Duration

10 days

Who Should Attend

• Instrumentation Engineers

• Control Systems Engineers

• Automation Engineers

• Process Engineers

• Electrical Engineers

• Chemical Engineers

• Operations Engineers

• Maintenance Engineers

• Reliability Engineers

• Plant Engineers

• Commissioning Engineers

• SCADA Engineers

• PLC Programmers

• DCS Engineers

• Industrial IT Professionals

• Plant Supervisors

• Production Managers

• Project Engineers

• Technical Consultants

• Professionals responsible for industrial automation and process control

Course Objectives

• Develop comprehensive knowledge of industrial process instrumentation, automation architectures, and advanced process control methodologies supporting reliable and efficient manufacturing operations.

• Understand the operating principles, selection criteria, calibration requirements, installation practices, and maintenance strategies for industrial sensors, transmitters, analyzers, and field instrumentation.

• Gain practical expertise in designing, configuring, and integrating programmable logic controllers, distributed control systems, SCADA platforms, and human-machine interfaces.

• Learn advanced process control techniques including cascade control, feedforward control, ratio control, adaptive control, model predictive control, and multivariable optimization strategies.

• Build competency in industrial communication protocols, network architecture, fieldbus technologies, industrial Ethernet, wireless instrumentation, and secure automation infrastructure implementation.

• Master engineering approaches for process measurement, signal conditioning, loop tuning, control valve selection, actuator performance evaluation, and instrumentation troubleshooting.

• Strengthen capabilities in functional safety engineering, safety instrumented systems, emergency shutdown systems, alarm management, and risk reduction through effective automation design.

• Develop practical understanding of Artificial Intelligence, Industrial Internet of Things, digital twins, machine learning, cloud analytics, and predictive maintenance technologies for smart manufacturing.

• Apply advanced engineering methods for process optimization, operational efficiency improvement, energy conservation, emissions reduction, and sustainable industrial automation initiatives.

• Improve engineering decision-making through process simulation, control performance assessment, asset monitoring, reliability analysis, cybersecurity evaluation, and lifecycle optimization methodologies.

• Explore emerging technologies including autonomous process control, edge computing, digital transformation, industrial robotics, cybersecurity resilience, and intelligent manufacturing ecosystems.

• Equip participants with practical skills to design, commission, optimize, troubleshoot, maintain, and continuously improve instrumentation and automation systems while achieving operational excellence and long-term plant reliability.

Comprehensive Course Outline

Module 1: Fundamentals of Process Instrumentation

• Principles of industrial process measurement and instrumentation engineering applications

• Instrument classification, operating characteristics, and performance evaluation methods

• International instrumentation standards and engineering best practice requirements

• Instrument lifecycle management supporting reliable industrial operations continuously

Module 2: Sensors and Measurement Technologies

• Temperature, pressure, flow, and level measurement system engineering techniques

• Analytical instruments supporting composition and quality monitoring applications effectively

• Smart sensors providing enhanced diagnostics and predictive operational capabilities

• Calibration methodologies ensuring accurate and reliable process measurements consistently

Module 3: Control Valves and Final Control Elements

• Control valve sizing methodologies supporting optimized process regulation performance

• Actuator selection improving operational reliability and response characteristics significantly

• Valve diagnostics supporting predictive maintenance and operational optimization initiatives

• Final control element performance affecting overall control loop stability

Module 4: Process Control Fundamentals

• Feedback control principles supporting stable industrial process operation continuously

• Dynamic process behavior influencing controller performance and optimization strategies

• PID controller tuning using proven industrial engineering methodologies effectively

• Control loop performance evaluation supporting process efficiency improvements

Module 5: Advanced Process Control Strategies

• Cascade, ratio, and feedforward control applications in industrial environments

• Model predictive control improving plant-wide operational optimization significantly

• Adaptive control strategies supporting variable industrial process conditions effectively

• Multivariable control systems enhancing production quality and energy efficiency

Module 6: PLC Systems and Industrial Automation

• Programmable logic controller architecture supporting industrial automation applications comprehensively

• PLC programming techniques improving manufacturing process control reliability significantly

• Industrial automation project development following structured engineering methodologies effectively

• PLC diagnostics and troubleshooting supporting uninterrupted plant operations continuously

Module 7: Distributed Control Systems and SCADA

• Distributed control system architecture supporting large-scale industrial facilities efficiently

• SCADA systems enabling centralized process monitoring and operational management

• Human-machine interface design improving operator effectiveness and situational awareness

• Data acquisition systems supporting informed engineering decision-making processes

Module 8: Industrial Communication Networks

• Industrial Ethernet technologies supporting secure automation infrastructure integration effectively

• Fieldbus communication protocols enabling reliable device interoperability across facilities

• Wireless instrumentation improving flexibility and operational monitoring capabilities substantially

• Network redundancy strategies enhancing industrial communication system reliability continuously

Module 9: Functional Safety and Instrumented Protection

• Safety instrumented system design supporting industrial risk reduction methodologies comprehensively

• Emergency shutdown systems protecting critical manufacturing process operations reliably

• SIL determination supporting compliance with recognized functional safety standards

• Alarm rationalization improving operator response and process safety performance

Module 10: Instrumentation Maintenance and Reliability

• Preventive and predictive maintenance strategies extending instrumentation service life

• Instrument reliability assessment supporting optimized maintenance planning methodologies effectively

• Failure analysis improving operational availability and engineering decision-making substantially

• Asset management systems supporting lifecycle optimization for instrumentation equipment

Module 11: Digital Transformation and Smart Manufacturing

• Artificial Intelligence supporting predictive process control and operational optimization initiatives

• Industrial Internet of Things integrating intelligent industrial instrumentation networks

• Digital twins improving equipment monitoring and engineering simulation capabilities effectively

• Cloud-based analytics supporting advanced operational performance improvement continuously

Module 12: Industrial Cybersecurity for Automation Systems

• Cybersecurity frameworks protecting industrial automation infrastructure against evolving threats

• Secure industrial communication supporting resilient manufacturing system operations continuously

• Risk assessment methodologies strengthening automation cybersecurity governance effectively

• Incident response planning minimizing operational disruptions from cyber events

Module 13: Energy Management and Sustainable Automation

• Automation strategies improving industrial energy efficiency and resource utilization significantly

• Process optimization reducing emissions through intelligent control methodologies comprehensively

• Smart utility management supporting sustainable manufacturing performance improvement initiatives

• Environmental monitoring systems enhancing regulatory compliance and operational transparency

Module 14: Emerging Technologies in Automation

• Autonomous process control using artificial intelligence and machine learning technologies

• Edge computing improving real-time industrial automation system responsiveness effectively

• Industrial robotics integration supporting advanced manufacturing process optimization initiatives

• Intelligent decision-support systems enabling future smart industrial operations

Module 15: Industrial Applications and Optimization

• Chemical process automation improving manufacturing productivity and operational reliability

• Oil and gas instrumentation supporting safe hydrocarbon processing operations continuously

• Pharmaceutical automation ensuring consistent product quality and regulatory compliance

• Water and wastewater automation enhancing sustainable utility system performance

Module 16: Practical Automation Design Workshop and Case Studies

• Comprehensive automation engineering projects integrating instrumentation and advanced control

• Industrial simulation workshops validating automation strategies and control performance effectively

• Troubleshooting exercises solving complex instrumentation and automation system challenges collaboratively

• Engineering best practices supporting world-class automation, operational excellence, and digital transformation

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.