Course Introduction
Raspberry Pi has evolved from an educational single-board computer into a powerful industrial computing platform supporting automation, data acquisition, machine monitoring, edge computing, Industrial Internet of Things (IIoT), robotics, predictive maintenance, process control, and smart manufacturing applications. Its flexibility, affordability, extensive software ecosystem, and compatibility with industrial communication technologies make it an ideal platform for developing modern automation solutions. This Raspberry Pi for Industrial Automation Training Course equips participants with comprehensive knowledge and practical skills to design, deploy, program, integrate, and maintain Raspberry Pi-based industrial automation systems using proven engineering methodologies and industry best practices.
The course provides an in-depth understanding of Raspberry Pi hardware architecture, Linux operating systems, Python programming, GPIO interfaces, industrial sensors, actuator control, serial communication, Ethernet networking, Modbus, MQTT, OPC UA fundamentals, industrial communication protocols, data acquisition, industrial control systems, Human Machine Interface (HMI) integration, cloud connectivity, edge computing, cybersecurity, remote monitoring, and automation system architecture. Participants will learn how Raspberry Pi can be deployed as an intelligent controller, gateway, monitoring device, and edge computing platform across numerous industrial sectors.
Participants will develop practical competencies in configuring Raspberry Pi hardware, installing Linux operating systems, programming industrial automation applications with Python, integrating sensors and actuators, developing industrial monitoring systems, connecting programmable logic controllers, collecting and analyzing operational data, implementing cloud communication, optimizing device performance, securing industrial networks, and documenting automation projects. The training emphasizes structured engineering methodologies that improve automation reliability, operational efficiency, maintainability, scalability, and lifecycle performance.
The course also explores emerging technologies shaping modern industrial automation, including Industrial Internet of Things (IIoT), Edge Artificial Intelligence, machine learning at the edge, digital twins, predictive maintenance, industrial cybersecurity, cloud-based analytics, smart manufacturing, Industry 4.0 architectures, intelligent sensor networks, remote asset monitoring, autonomous industrial systems, sustainable automation, and advanced industrial data visualization. Participants will understand how Raspberry Pi enables cost-effective digital transformation across manufacturing and industrial operations.
Participants will examine practical engineering challenges including industrial networking, communication reliability, cybersecurity threats, environmental protection, hardware integration, sensor calibration, real-time performance, system redundancy, power management, industrial protocol compatibility, scalability, lifecycle maintenance, and operational resilience. Through practical laboratories, industrial automation workshops, programming exercises, engineering simulations, case studies, and integrated implementation projects, participants will strengthen their ability to develop dependable Raspberry Pi automation solutions for real-world industrial environments.
Upon successful completion of the Raspberry Pi for Industrial Automation Training Course, participants will possess the technical expertise and practical confidence required to design, implement, manage, troubleshoot, and optimize Raspberry Pi-based industrial automation systems. They will be equipped to support smart manufacturing initiatives, industrial digitalization, remote monitoring, predictive maintenance, industrial control, intelligent data acquisition, and connected industrial operations across diverse engineering industries.
Duration
5 days
Who Should Attend
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Industrial Automation Engineers
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Electronics Engineers
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Electrical Engineers
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Control Systems Engineers
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Instrumentation Engineers
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Embedded Systems Engineers
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Mechatronics Engineers
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Manufacturing Engineers
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Robotics Engineers
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Industrial IoT Engineers
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Process Engineers
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Maintenance Engineers
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SCADA Engineers
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System Integrators
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Technical Project Managers
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Engineering Consultants
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Research and Development Engineers
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Engineering Technicians
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Technical Supervisors
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Engineering Graduates
Course Objectives
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Develop comprehensive knowledge of Raspberry Pi architecture, Linux operating systems, industrial automation principles, and intelligent industrial computing methodologies.
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Understand Python programming, GPIO interfaces, industrial communication protocols, sensor integration, actuator control, networking, and embedded automation concepts.
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Apply engineering methodologies to design, implement, test, deploy, and optimize Raspberry Pi industrial automation systems supporting modern manufacturing operations.
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Design automation solutions integrating industrial sensors, controllers, communication protocols, cloud platforms, edge computing, and intelligent monitoring applications.
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Evaluate industrial automation system performance through communication analysis, device optimization, cybersecurity assessments, reliability engineering, and operational diagnostics.
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Utilize Raspberry Pi OS, Python development tools, industrial communication software, engineering measurement equipment, cloud platforms, and automation testing methodologies.
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Assess emerging technologies including Industrial Internet of Things, Edge Artificial Intelligence, digital twins, predictive maintenance, Industry 4.0, and smart manufacturing.
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Implement engineering solutions supporting industrial cybersecurity, remote monitoring, industrial networking, cloud integration, scalable automation, and lifecycle management.
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Strengthen multidisciplinary engineering collaboration through structured documentation, industrial system design, technical reporting, engineering standards, and project coordination.
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Enhance professional competency through practical laboratories, industrial automation implementation projects, programming exercises, engineering simulations, troubleshooting workshops, and real-world case studies.
Course Outline
Module 1: Raspberry Pi Architecture and Linux Fundamentals
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Understanding Raspberry Pi hardware architecture for industrial applications
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Installing and configuring Raspberry Pi OS for automation projects
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Managing Linux command-line operations supporting industrial development
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Configuring storage, networking, and system administration effectively
Module 2: Python Programming for Industrial Automation
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Developing Python applications supporting industrial automation systems
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Managing GPIO interfaces for industrial input and output operations
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Implementing modular software architectures for automation projects
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Applying structured programming methodologies for reliable industrial software
Module 3: Sensors, Actuators, and Data Acquisition
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Integrating industrial sensors for monitoring and measurement applications
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Controlling actuators supporting automated industrial process operations
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Acquiring operational data using Raspberry Pi industrial interfaces
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Processing measurement signals supporting intelligent automation systems
Module 4: Industrial Communication Protocols
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Configuring Modbus communication supporting industrial automation networks
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Implementing MQTT messaging for Industrial Internet of Things applications
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Understanding OPC UA fundamentals for industrial interoperability projects
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Developing reliable Ethernet communication within industrial environments
Module 5: Industrial Monitoring and Control Systems
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Designing industrial monitoring dashboards using Raspberry Pi platforms
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Integrating programmable logic controllers with Raspberry Pi applications
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Developing Human Machine Interface solutions for industrial operators
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Managing industrial alarms and operational event notification systems
Module 6: Emerging Industrial Automation Technologies
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Exploring Industrial Internet of Things architectures using Raspberry Pi
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Applying Edge Artificial Intelligence within industrial automation systems
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Implementing predictive maintenance using intelligent industrial monitoring
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Evaluating digital twins supporting smart manufacturing infrastructure projects
Module 7: Cloud Connectivity and Cybersecurity
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Connecting Raspberry Pi devices with secure cloud automation platforms
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Implementing industrial cybersecurity protecting connected automation systems
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Managing remote monitoring through encrypted industrial communication channels
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Optimizing secure data exchange supporting industrial digital transformation
Module 8: System Optimization and Troubleshooting
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Improving automation performance through structured engineering optimization methods
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Diagnosing communication failures affecting industrial control applications
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Performing preventive maintenance supporting reliable automation infrastructure
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Preparing engineering documentation for industrial maintenance activities
Module 9: Advanced Industrial Automation Applications
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Developing intelligent manufacturing systems using Raspberry Pi technologies
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Designing environmental monitoring systems supporting industrial sustainability
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Implementing smart energy monitoring within industrial automation facilities
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Evaluating scalable automation architectures supporting Industry 4.0 initiatives
Module 10: Practical Applications and Industry Case Studies
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Developing complete Raspberry Pi industrial automation implementation projects
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Conducting practical laboratories covering industrial networking and control
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Evaluating real-world industrial automation engineering case studies comprehensively
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Completing integrated automation projects using modern industrial technologies
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.
