| Attribute | Detail |
|---|---|
| Format | Online (e-LMS) |
| Level | Advanced |
| Duration | 3 Weeks |
| Certification | e-Certification + e-Marksheet |
| Fee | ₹5499 / $59 |
| Tools | Internet |
About the Internet of Things (IoT) in Manufacturing Course
The Internet of Things (IoT) in Manufacturing course is an intermediate-level program designed to provide learners with a structured understanding of how connected technologies are transforming modern manufacturing systems. The course focuses on the use of internet-enabled devices, sensors, machines, and data-driven workflows to improve production efficiency, equipment monitoring, process control, quality management, and industrial decision-making.
This program introduces learners to the role of IoT in smart factories, connected production lines, predictive maintenance, real-time monitoring, asset tracking, and industrial automation. Learners will explore how manufacturing organizations use connected systems to reduce downtime, improve productivity, enhance safety, and support data-based operational improvements.
Special emphasis is placed on Internet, helping learners understand how connected infrastructure enables smarter, faster, and more reliable manufacturing operations.
Program Highlights
• Mentorship by industry experts and NSTC faculty
• Structured learning in IoT-enabled manufacturing and smart factory systems
• Hands-on conceptual exposure to connected devices, sensors, and production monitoring workflows
• Case studies on predictive maintenance, process optimization, and industrial automation
• Practical understanding of internet-enabled data collection and manufacturing decision support
• Focus on productivity, quality, safety, efficiency, and digital transformation in manufacturing
• e-Certification + e-Marksheet upon successful completion
Course Curriculum
Module 1: Introduction to IoT in Manufacturing
- Overview of Internet of Things in Manufacturing
- Evolution from Traditional Manufacturing to Smart Manufacturing
- Role of Connected Systems in Industrial Operations
- Benefits of IoT for Productivity, Safety, and Efficiency
Module 2: Fundamentals of Connected Manufacturing Systems
- Understanding Internet-Enabled Industrial Devices
- Sensors, Machines, Controllers, and Connected Equipment
- Data Flow Across Manufacturing Environments
- Key Components of IoT-Based Production Systems
Module 3: Smart Factories and Industrial Digital Transformation
- Concept of Smart Factories
- Connected Production Lines and Automated Workflows
- Role of IoT in Digital Manufacturing Transformation
- Improving Visibility Across Manufacturing Operations
Module 4: Real-Time Monitoring and Data Collection
- Real-Time Equipment and Process Monitoring
- Data Collection from Machines, Sensors, and Production Lines
- Tracking Temperature, Pressure, Vibration, Speed, and Performance Indicators
- Using Connected Data for Operational Awareness
Module 5: Predictive Maintenance in Manufacturing
- Introduction to Predictive Maintenance
- Monitoring Equipment Health and Failure Indicators
- Reducing Downtime Through Early Fault Detection
- Applications in Machines, Motors, Pumps, Conveyors, and Industrial Assets
Module 6: Quality Control and Process Optimization
- IoT for Production Quality Monitoring
- Identifying Process Variations and Defects
- Improving Manufacturing Consistency Through Connected Systems
- Using Data-Driven Insights for Process Optimization
Module 7: Safety, Asset Tracking, and Operational Efficiency
- IoT for Worker Safety and Hazard Monitoring
- Asset Tracking Across Manufacturing Facilities
- Inventory, Material Movement, and Supply Chain Visibility
- Improving Operational Efficiency Through Connected Infrastructure
Module 8: Challenges, Case Studies, and Future Opportunities
- Implementation Challenges in IoT-Based Manufacturing
- Data Security, Connectivity, Cost, and Integration Issues
- Case Studies in Smart Manufacturing and Connected Operations
- Future Opportunities in Intelligent, Flexible, and Sustainable Manufacturing
Tools, Techniques, or Platforms Covered
Internet
Real-World Applications
- Monitoring manufacturing equipment in real time to improve operational visibility
- Reducing downtime through predictive maintenance and early fault detection
- Improving product quality by tracking process parameters and production variations
- Supporting smart factory operations through connected production systems
- Tracking industrial assets, materials, and inventory across manufacturing facilities
- Enhancing worker safety through connected monitoring and alert systems
- Improving manufacturing efficiency through data-driven process optimization
Who Should Attend & Prerequisites
- Designed for students, engineers, manufacturing professionals, production supervisors, plant managers, maintenance teams, quality professionals, automation learners, and industry participants interested in IoT-enabled manufacturing and smart factory operations.
- Suitable for learners from mechanical engineering, industrial engineering, electronics, manufacturing technology, production engineering, automation, operations management, and related fields.
Certification
