In today’s rapidly evolving industrial landscape, integrating the Internet of Things (IoT) into manufacturing processes is key to maintaining competitiveness and enhancing operational efficiency. This comprehensive two-day course is designed to equip professionals with the knowledge and skills needed to implement IoT solutions in both modern and legacy manufacturing environments. Through a blend of theoretical insights, practical activities, and real-world case studies, participants will gain a deep understanding of how to harness IoT technologies to drive innovation and productivity.


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

  • Understand the fundamental concepts and components of IoT.
  • Identify the benefits and challenges of implementing IoT in manufacturing.
  • Utilize key IoT technologies, including sensors, connectivity, cloud computing, and data analytics.
  • Develop and manage IoT projects, from initial design to deployment.
  • Integrate IoT solutions with legacy machinery to enhance data logging and operational insights.
  • Implement security best practices to protect IoT devices and data.
  • Monitor and maintain IoT systems to ensure optimal performance.
  • Evaluate the ROI and performance of IoT implementations.
  • Stay informed about emerging trends and future technologies in IoT.


Day 1: Understanding IoT and Its Application in Manufacturing

Module 1: Introduction to IoT

  • Definition and Concepts of IoT
  • Components of IoT: Sensors, Connectivity,
  • Data Processing, User Interface
  • IoT Architecture and Communication Protocols

Module 2: IoT in Manufacturing: Opportunities and Challenges

  • Benefits of IoT in Manufacturing
  • Challenges and Considerations
  • Case Studies of IoT Implementation in Manufacturing

Module 3: Key IoT Technologies for Manufacturing

  • Sensors and Actuators
  • Connectivity: Wired and Wireless
  • Cloud Computing and Edge Computing
  • Big Data Analytics

Module 4: IoT Data Management and Analytics

  • Data Collection and Storage
  • Data Analytics and Machine Learning
  • Predictive Maintenance and Quality Control

Module 5: IoT Platforms and Software

  • Overview of Popular IoT Platforms
  • Software Tools for IoT Development
  • Integration with Existing Systems

Module 6: Security and Privacy in IoT

  • Common Security Threats in IoT
  • Best Practices for Securing IoT Devices and Data
  • Regulatory and Compliance Considerations

Day 2: Implementing IoT Solutions in Manufacturing

Module 7: Developing IoT Solutions

  • Steps to Develop IoT Solutions
  • Identifying Requirements and Use Cases
  • Designing IoT Systems for Manufacturing

Module 8: Project Planning and Execution

  • Project Management Principles for IoT Projects
  • Timeline and Resource Planning
  • Risk Management

Module 9: Practical IoT Implementation

  • Prototyping and Testing IoT Solutions
  • Scaling from Prototype to Production
  • Case Study: Successful IoT Project in Manufacturing

Module 10: Monitoring and Maintenance of IoT Systems

  • Continuous Monitoring and Analytics
  • Maintenance Strategies for IoT Systems
  • Tools for Monitoring and Diagnostics

Module 11: ROI and Performance Measurement

  • Measuring the Performance of IoT Systems
  • Calculating ROI
  • Continuous Improvement with IoT Data

Module 12: Future Trends in IoT for Manufacturing

  • Emerging Technologies and Trends
  • The Role of AI and Machine Learning in IoT
  • Future Challenges and Opportunities 
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Oct 23 - 24 2024


9:00 am - 5:00 pm

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