Chat with us

Industrial Automation and Robotics Training Course

Online Training Download PDF
Upcoming Training Schedules 14 locations
Location Duration Next Start Date Dates Available Action
Nairobi, Kenya 10 days Jul 13, 2026 104 dates
Accra, Ghana 10 days Jul 20, 2026 31 dates
Addis Ababa, Ethiopia 10 days Jul 13, 2026 31 dates
Cape Town, South Africa 10 days Jul 20, 2026 52 dates
Dar es Salaam, Tanzania 10 days Jul 13, 2026 26 dates
Dubai, UAE 10 days Aug 3, 2026 52 dates
Istanbul, Turkey 10 days Aug 10, 2026 16 dates
Kampala, Uganda 10 days Jul 13, 2026 31 dates
Kigali, Rwanda 10 days Jul 20, 2026 52 dates
Kuala Lumpur, Malaysia 10 days Aug 10, 2026 31 dates
Mombasa, Kenya 10 days Jul 13, 2026 52 dates
Pretoria, South Africa 10 days Jul 13, 2026 52 dates
Singapore 10 days Jul 13, 2026 31 dates
Zanzibar, Tanzania 10 days Sep 14, 2026 16 dates

Industrial Automation and Robotics Training Course

Course Overview

The Industrial Automation and Robotics Training Course is designed to equip engineers, technicians, production managers, manufacturing professionals, and automation specialists with the knowledge and practical skills required to design, implement, operate, maintain, and optimize industrial automation and robotic systems in modern manufacturing environments. The course focuses on Industry 4.0 technologies, industrial robotics, programmable logic controllers (PLCs), Supervisory Control and Data Acquisition (SCADA), Human Machine Interface (HMI), Industrial Internet of Things (IIoT), motion control, artificial intelligence, machine vision, predictive maintenance, industrial communication networks, digital twins, smart manufacturing, and intelligent production systems. Participants will gain practical experience implementing automation solutions that improve productivity, efficiency, quality, safety, and operational excellence.

This comprehensive training combines theoretical knowledge with extensive practical laboratory exercises, industrial simulations, and real-world automation projects. Participants will learn industrial control systems, robotic programming, sensor technologies, actuator selection, industrial networking, process automation, control panel design, machine safety systems, robotics integration, manufacturing execution systems (MES), enterprise resource planning (ERP) integration, predictive analytics, cloud-based manufacturing, cybersecurity for operational technology (OT), and industrial data analytics. Practical sessions emphasize automation system commissioning, troubleshooting, diagnostics, maintenance planning, performance optimization, and continuous process improvement.

The course further explores emerging technologies transforming industrial automation, including collaborative robots (Cobots), autonomous mobile robots (AMRs), artificial intelligence for industrial optimization, machine learning, edge computing, cloud manufacturing, augmented reality (AR), virtual reality (VR), digital twin technology, additive manufacturing integration, sustainable manufacturing, energy-efficient automation, smart factories, and intelligent production planning. Participants will understand how digital transformation strategies support operational resilience, cost reduction, improved product quality, flexible manufacturing, and global competitiveness.

Throughout the course, participants will complete practical industrial automation laboratories, PLC programming workshops, SCADA implementation exercises, robotic simulations, predictive maintenance projects, industrial communication network configuration, cybersecurity assessments, industrial analytics case studies, and smart manufacturing implementation projects. Upon successful completion, participants will possess the competencies required to deploy, manage, optimize, and maintain advanced industrial automation and robotics systems that support organizational productivity, innovation, and sustainable industrial growth.

Course Objectives

1.     Understand industrial automation principles and modern manufacturing technologies.

2.     Design and implement industrial control and automation systems.

3.     Program and troubleshoot programmable logic controllers (PLCs).

4.     Configure SCADA and Human Machine Interface (HMI) systems.

5.     Deploy industrial robots and collaborative robotic systems.

6.     Integrate Industrial Internet of Things (IIoT) technologies into manufacturing.

7.     Apply predictive maintenance and industrial analytics techniques.

8.     Implement industrial communication networks and automation protocols.

9.     Improve manufacturing productivity, quality, and operational efficiency.

10.  Develop smart manufacturing and Industry 4.0 implementation strategies.

Organizational Benefits

1.     Improves manufacturing productivity and operational efficiency.

2.     Reduces production downtime through predictive maintenance.

3.     Enhances workplace safety using intelligent automation.

4.     Improves product quality and process consistency.

5.     Optimizes manufacturing costs through automation.

6.     Strengthens industrial cybersecurity and operational resilience.

7.     Supports smart factory and Industry 4.0 transformation.

8.     Enables data-driven production planning and decision-making.

9.     Enhances workforce technical competence in automation technologies.

10.  Increases organizational competitiveness through digital manufacturing innovation.

Target Participants

This course is suitable for automation engineers, manufacturing engineers, industrial engineers, mechanical engineers, electrical engineers, instrumentation engineers, production managers, maintenance engineers, robotics technicians, control systems engineers, process engineers, operations managers, factory supervisors, industrial IT professionals, systems integrators, project managers, technical consultants, researchers, university graduates, vocational instructors, and professionals involved in industrial automation, robotics, and smart manufacturing initiatives.

Course Outline

Module 1: Fundamentals of Industrial Automation

·       Principles of industrial automation

·       Industrial control systems

·       Automation hierarchy

·       Manufacturing processes

·       Industry 4.0 overview

·       Case Study: Transitioning from manual to automated production

Module 2: Programmable Logic Controllers (PLC)

·       PLC architecture

·       PLC programming fundamentals

·       Ladder logic programming

·       PLC troubleshooting

·       Industrial applications

·       Case Study: PLC implementation for automated assembly lines

Module 3: SCADA and Human Machine Interface (HMI)

·       SCADA architecture

·       HMI development

·       Real-time monitoring

·       Alarm management

·       Data acquisition

·       Case Study: SCADA deployment in manufacturing plants

Module 4: Industrial Robotics

·       Robot classifications

·       Robot kinematics

·       Robot programming

·       Robotic work cells

·       Collaborative robots

·       Case Study: Robotic automation in automotive manufacturing

Module 5: Industrial Sensors and Actuators

·       Sensor technologies

·       Industrial instrumentation

·       Actuator selection

·       Signal conditioning

·       Calibration techniques

·       Case Study: Sensor integration for automated production

Module 6: Industrial Communication Networks

·       Ethernet/IP

·       Modbus

·       Profibus

·       Profinet

·       OPC UA communication

·       Case Study: Designing industrial communication infrastructure

Module 7: Industrial Internet of Things (IIoT)

·       IIoT architecture

·       Smart sensors

·       Connected manufacturing

·       Edge computing

·       Cloud integration

·       Case Study: IIoT-enabled production monitoring

Module 8: Motion Control Systems

·       Servo motors

·       Variable frequency drives

·       Motion controllers

·       Precision positioning

·       Industrial automation drives

·       Case Study: Motion control optimization in packaging systems

Module 9: Predictive Maintenance and Industrial Analytics

·       Condition monitoring

·       Predictive maintenance

·       Machine learning

·       Equipment diagnostics

·       Industrial dashboards

·       Case Study: Reducing downtime through predictive maintenance

Module 10: Industrial Cybersecurity

·       Operational Technology security

·       Network protection

·       Risk management

·       Access control

·       Incident response

·       Case Study: Securing industrial automation infrastructure

Module 11: Smart Manufacturing Systems

·       Manufacturing execution systems

·       Digital twins

·       Artificial Intelligence

·       Production optimization

·       Smart factories

·       Case Study: Implementing a digital smart manufacturing environment

Module 12: Automation Project Implementation

·       Automation project planning

·       System integration

·       Performance testing

·       Commissioning

·       Continuous improvement

·       Case Study: Enterprise-wide industrial automation implementation

General Information

1.     Customized Training: All our courses can be tailored to meet the specific needs of participants.

2.     Language Proficiency: Participants should have a good command of the English language.

3.     Comprehensive Learning: Our training includes well-structured presentations, practical exercises, web-based tutorials, and collaborative group work. Our facilitators are seasoned experts with over a decade of experience.

4.     Certification: Upon successful completion of training, participants will receive a certificate from Foscore Development Center (FDC-K).

5.     Training Locations: Training sessions are conducted at Foscore Development Center (FDC-K) centers. We also offer options for in-house and online training, customized to the client's schedule.

6.     Flexible Duration: Course durations are adaptable, and content can be adjusted to fit the required number of days.

7.     Onsite Training Inclusions: The course fee for onsite training covers facilitation, training materials, two coffee breaks, a buffet lunch, and a Certificate of Successful Completion. Participants are responsible for their travel expenses, airport transfers, visa applications, dinners, health/accident insurance, and personal expenses.

8.     Additional Services: Accommodation, pickup services, freight booking, and visa processing arrangements are available upon request at discounted rates.

9.     Equipment: Tablets and laptops can be provided to participants at an additional cost.

10.  Post-Training Support: We offer one year of free consultation and coaching after the course.

11.  Group Discounts: Register as a group of more than two and enjoy a discount ranging from 10% to 50%.

12.  Payment Terms: Payment should be made before the commencement of the training or as mutually agreed upon, to the Foscore Development Center account. This ensures better preparation for your training.

13.  Contact Us: For any inquiries, please reach out to training@fdc-k.org or call +254712260031.

14.  Website: Visit www.fdc-k.org for more information.

 

 

Explore:

M&E Research & Data Analysis GIS & Remote Sensing ICT Skills Humanitarian Agriculture Business & Governance All Courses Download Training Calendar (PDF) Virtual / Online Training Courses Contact Us Subscribe Group Rates Gallery Trainer Consultancy
14 locations — Jump to booking

Enquire

Captcha code Click image to refresh

training@fdc-k.org • +254 712 260 031 • Nairobi, Kenya