Format: Live instructor-led online training via Zoom / Microsoft Teams

Smart Sensors and Automation Training Course

Course Overview

Smart Sensors and Automation have become fundamental technologies driving digital transformation across manufacturing, industrial automation, smart buildings, healthcare, agriculture, transportation, energy management, logistics, and Internet of Things (IoT) ecosystems. This comprehensive Smart Sensors and Automation Training Course equips participants with practical knowledge and technical expertise to design, implement, integrate, configure, monitor, and maintain intelligent sensing and automated control systems. The course explores sensor technologies, automation architecture, embedded systems, programmable logic controllers (PLCs), industrial communication protocols, control systems, actuators, Supervisory Control and Data Acquisition (SCADA), Industrial Internet of Things (IIoT), edge computing, cloud integration, artificial intelligence, predictive maintenance, and smart monitoring solutions. Participants will gain hands-on experience developing efficient, reliable, and scalable automation systems that enhance operational performance, improve productivity, reduce operational costs, and support Industry 4.0 initiatives.

The course provides an in-depth understanding of smart sensor technologies, signal processing, industrial instrumentation, automation networks, wireless communication, data acquisition systems, industrial controllers, robotics integration, intelligent process control, and cybersecurity for connected automation systems. Participants will learn how to configure intelligent sensors, integrate automation hardware, develop automated control logic, analyze sensor-generated data, optimize industrial processes, and troubleshoot automation systems. Emphasis is placed on system reliability, real-time monitoring, predictive analytics, energy efficiency, operational safety, interoperability, and secure industrial communications to ensure robust automation solutions across diverse operational environments.

As organizations continue adopting smart manufacturing, digital factories, autonomous systems, intelligent infrastructure, and connected industrial operations, professionals require specialized expertise in Smart Sensors and Automation technologies. This course introduces advanced concepts including artificial intelligence for automation, machine learning-based predictive maintenance, digital twins, robotics integration, wireless sensor networks, industrial cloud computing, edge analytics, autonomous monitoring systems, industrial cybersecurity, and enterprise automation strategies. Through practical laboratories and industry-based case studies, participants will develop the competencies required to implement innovative automation systems that improve process efficiency, product quality, equipment reliability, workplace safety, and organizational competitiveness.

Upon successful completion of this course, participants will possess the skills required to design, implement, secure, operate, troubleshoot, and optimize Smart Sensors and Automation systems using internationally recognized standards and best engineering practices. They will be capable of integrating intelligent sensors, automation controllers, industrial communication networks, cloud technologies, and predictive analytics into comprehensive automation solutions that support sustainable industrial growth and digital transformation.

Course Objectives

By the end of this course, participants will be able to:

1.     Understand the principles, architecture, and applications of Smart Sensors and Automation.

2.     Configure and integrate smart sensors with industrial automation systems.

3.     Develop automated control systems using PLCs and intelligent controllers.

4.     Implement industrial communication protocols and automation networks.

5.     Deploy SCADA systems for industrial monitoring and control.

6.     Integrate IoT technologies into smart automation environments.

7.     Analyze sensor data for process optimization and predictive maintenance.

8.     Apply cybersecurity best practices to automation and control systems.

9.     Troubleshoot, maintain, and optimize automated industrial systems.

10.  Design scalable, intelligent, and energy-efficient automation solutions for industrial applications.

Organizational Benefits

Organizations participating in this training will benefit by:

1.     Improving operational efficiency through intelligent automation.

2.     Enhancing equipment reliability using smart sensing technologies.

3.     Reducing maintenance costs through predictive maintenance strategies.

4.     Improving production quality and process consistency.

5.     Strengthening industrial monitoring and real-time decision-making.

6.     Supporting Industry 4.0 and digital transformation initiatives.

7.     Enhancing workplace safety through intelligent monitoring systems.

8.     Building internal expertise in industrial automation technologies.

9.     Increasing productivity through optimized automated processes.

10.  Strengthening organizational competitiveness through advanced automation solutions.

Target Participants

This course is suitable for:

·       Industrial Automation Engineers

·       Electrical Engineers

·       Electronics Engineers

·       Instrumentation Engineers

·       Mechatronics Engineers

·       Control Systems Engineers

·       IoT Engineers

·       Manufacturing Engineers

·       SCADA Engineers

·       PLC Programmers

·       Maintenance Engineers

·       Process Engineers

·       ICT Professionals

·       Technology Consultants

·       Anyone interested in Smart Sensors and Automation technologies.

Course Outline

Module 1: Fundamentals of Smart Sensors and Automation

·       Introduction to Smart Sensors

·       Automation System Architecture

·       Industrial Instrumentation

·       Types of Intelligent Sensors

·       Automation Components

·       Industry 4.0 Fundamentals
General Case Study: Designing a smart sensor architecture for an automated manufacturing process.

Module 2: Sensor Integration and Industrial Control

·       Sensor Calibration

·       Signal Conditioning

·       Actuators and Controllers

·       PLC Programming Fundamentals

·       Industrial Communication Protocols

·       SCADA Integration
General Case Study: Integrating smart sensors with PLC and SCADA systems for industrial process control.

Module 3: Industrial Networking and IoT Integration

·       Industrial Ethernet

·       Wireless Sensor Networks

·       MQTT Communication

·       Edge Computing

·       Cloud Connectivity

·       Industrial Internet of Things (IIoT)
General Case Study: Connecting industrial sensors to cloud platforms for real-time monitoring and analytics.

Module 4: Automation Intelligence and Predictive Maintenance

·       Artificial Intelligence for Automation

·       Machine Learning Applications

·       Predictive Maintenance

·       Data Analytics

·       Process Optimization

·       Digital Twin Technology
General Case Study: Implementing predictive maintenance using smart sensor data in a production facility.

Module 5: Cybersecurity and System Reliability

·       Automation Cybersecurity

·       Secure Industrial Communication

·       Device Authentication

·       Network Protection

·       Fault Diagnosis

·       Preventive Maintenance
General Case Study: Protecting industrial automation infrastructure against cybersecurity threats while ensuring operational reliability.

Module 6: Smart Sensors and Automation Capstone Project

·       Requirements Analysis

·       Automation System Design

·       Sensor and Controller Configuration

·       System Integration

·       Performance Testing and Optimization

·       Final Project Presentation
General Case Study: Designing, implementing, integrating, securing, testing, optimizing, and presenting a complete Smart Sensors and Automation solution for a modern industrial production facility.

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 us at training@fdc-k.org or call +254712260031.

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