Introduction

In the era of Industry 4.0, manufacturing organizations are rapidly adopting Edge Computing and Enterprise Resource Planning (ERP) systems to enhance real-time decision-making, data-driven production, and smart factory automation. Edge Computing and ERP in Manufacturing Training Course empowers participants with in-depth insights into edge-enabled digital transformation, IoT integration, predictive maintenance, and AI-driven supply chain optimization. By combining the strengths of edge technology with modern ERP systems, learners will gain hands-on expertise to streamline operations, improve efficiency, and reduce downtime in a competitive manufacturing landscape.

This course bridges the gap between operational technology (OT) and information technology (IT) by providing practical knowledge in edge analytics, cybersecurity, data orchestration, and ERP cloud migration. Through real-world case studies, interactive labs, and expert-led sessions, participants will master how edge-enabled ERP architectures can transform production lines, improve resource utilization, and create smart, resilient, and sustainable manufacturing ecosystems.

Programme Curriculum

Edge Computing and ERP in Manufacturing Training Course

Introduction

Course Duration

5 days

Course Objectives

Understand the fundamentals of Edge Computing architecture and its role in smart manufacturing.
Integrate IoT devices and sensors with ERP systems for real-time data processing.
Analyze AI-powered analytics for predictive maintenance and performance optimization.
Explore cloud-edge hybrid models for scalable ERP deployments.
Implement cybersecurity best practices in edge-connected manufacturing systems.
Optimize supply chain management through edge intelligence and ERP visibility.
Leverage digital twins and edge AI for production process simulation.
Improve operational efficiency with edge-enabled automation.
Design data-driven manufacturing strategies using edge analytics dashboards.
Assess the ROI and cost-efficiency of edge-integrated ERP solutions.
Develop smart factory frameworks aligning with Industry 4.0 standards.
Enhance collaboration and scalability across distributed manufacturing networks.
Apply machine learning models at the edge for quality control and defect prediction.

Target Audience

Manufacturing Engineers
ERP System Administrators
IoT Solution Architects
Data Analysts & AI Engineers
Operations Managers
IT Infrastructure Specialists
Supply Chain Professionals
Industrial Automation Consultants

Course Modules

Module 1: Fundamentals of Edge Computing in Manufacturing

Overview of Edge Computing Architecture
Edge vs Cloud and On-Premises Models
Real-Time Data Processing Techniques
Integration with Manufacturing Execution Systems (MES)
Case Study: Siemens Edge Implementation in Automotive Production

Module 2: ERP Systems and Digital Transformation

ERP Core Functions in Manufacturing
Cloud ERP and On-Prem ERP
Data Synchronization Challenges
Real-Time Decision Support Systems
Case Study: SAP S/4HANA Deployment in Smart Factory

Module 3: IoT Integration with Edge and ERP

IoT Device Management and Connectivity
Data Ingestion and Processing Pipelines
Protocols
IoT-ERP Data Synchronization
Case Study: GE Predix Integration in Energy Manufacturing

Module 4: AI and Predictive Analytics at the Edge

Machine Learning at the Edge
Predictive Maintenance Algorithms
Edge AI Frameworks
Real-Time Defect Detection
Case Study: Predictive Maintenance in Aerospace Components

Module 5: Cybersecurity for Edge and ERP Systems

Edge Device Security Layers
Data Encryption and Zero-Trust Models
ERP Access Control Policies
Secure Data Transmission
Case Study: Cybersecurity Implementation in Industrial IoT Network

Module 6: Supply Chain Optimization with Edge Intelligence

Real-Time Tracking and Inventory Management
Edge-Enabled Demand Forecasting
Data-Driven Logistics Optimization
ERP-Integrated Procurement Automation
Case Study: Edge Analytics for Global Supply Chain Visibility

Module 7: Cloud-Edge Hybrid ERP Architectures

Hybrid Infrastructure Design
Edge Node Management and Orchestration
Cloud Integration and Latency Reduction
Disaster Recovery and Backup Strategies
Case Study: Hybrid ERP Implementation in Pharmaceutical Manufacturing

Module 8: Smart Factory Implementation & ROI Analysis

Building Smart Factory Ecosystems
Edge Analytics Dashboard Development
Performance Metrics and KPIs
ROI Measurement Framework
Case Study: Digital Twin Deployment in Electronics Manufacturing

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000