Online/ e-LMS
Self Paced
Moderate
1 Month
About
The Industrial Automation and IIoT Program combines foundational principles with advanced applications in automation, control systems, and IoT. Covering topics from PLC programming to smart sensors and data analytics, participants will learn how to optimize industrial operations using cutting-edge IIoT technologies. The program emphasizes practical training through simulation tools and real-world projects, enabling participants to address current challenges in smart manufacturing and industrial automation.
Aim
This program provides in-depth knowledge and hands-on skills in industrial automation and the Industrial Internet of Things (IIoT), preparing participants to design, implement, and manage automated systems integrated with smart IoT technologies. Participants will gain expertise in the principles of automation, control systems, and IIoT applications for enhancing productivity, efficiency, and sustainability in manufacturing and industrial environments.
Program Objectives
- Understand foundational principles of industrial automation and IIoT.
- Gain hands-on skills in PLC programming, SCADA systems, and control networks.
- Learn data acquisition, analytics, and edge computing for IIoT applications.
- Develop cybersecurity strategies for industrial automation.
- Complete a capstone project demonstrating expertise in IIoT and automation system design.
Program Structure
Module 1: Fundamentals of Industrial Automation and PLC Programming
- Overview: This module introduces the basics of industrial automation, focusing on PLC programming and control logic.
- Topics Covered:
- Basics of automation systems and PLCs
- Ladder logic programming and control sequences
- Troubleshooting and safety in automation
- Project: Program a PLC to control a conveyor belt system with integrated safety protocols and error handling.
Module 2: Introduction to IIoT and Connectivity
- Overview: Learn about IIoT, focusing on integrating devices and systems with industrial networks.
- Topics Covered:
- Basics of the Industrial Internet of Things (IIoT)
- Communication protocols (Ethernet, MQTT, Modbus)
- Device connectivity and sensor integration
- Project: Set up a networked system using IIoT protocols to monitor and control multiple devices in a simulated factory environment.
Module 3: Data Collection and Analytics for Smart Manufacturing
- Overview: Discover data analytics in manufacturing, focusing on collecting, processing, and analyzing data from automated systems.
- Topics Covered:
- Data acquisition from sensors and PLCs
- Big data analytics and real-time monitoring
- Predictive maintenance and machine learning applications
- Project: Develop a predictive maintenance model using collected data to forecast machine failures and optimize maintenance schedules.
Module 4: Advanced Control Systems and Smart Factory Design
- Overview: Learn advanced control systems and the principles of designing a smart, connected factory.
- Topics Covered:
- Advanced PLC programming and SCADA systems
- Smart factory layout and connected workflow optimization
- Cybersecurity in industrial networks and IoT
- Project: Design a smart factory layout with integrated IIoT devices, focusing on workflow optimization and data security.
Module 5: Capstone Project in Industrial Automation and IIoT
- Overview: Apply your skills in a capstone project to implement and control a smart factory system.
- Project Options:
- Design a fully automated production line using IIoT and PLCs to optimize process efficiency.
- Create an IIoT-enabled monitoring system for a manufacturing plant, focusing on real-time data insights and analytics.
- Implement a predictive maintenance system for a set of industrial machines, utilizing IoT data and analytics for efficiency.
- Outcome: Complete a comprehensive automation project, demonstrating your ability to integrate IIoT and control systems for smart manufacturing.
Participant’s Eligibility
- Mechanical and Electrical Engineers: Interested in automation, IIoT, and digital manufacturing.
- Engineering Students and Graduates: Looking to develop skills in IoT and data analytics for manufacturing.
- Professionals in Manufacturing, Logistics, and Process Engineering: Seeking to enhance operational efficiency and data-driven decision-making in industrial environments.
Program Outcomes
- Proficiency in designing, implementing, and managing IIoT-enabled industrial automation systems.
- Practical knowledge of PLCs, SCADA, sensors, and control protocols for efficient system design.
- Skills in data analytics and cloud integration for optimizing industrial processes.
- Understanding of cybersecurity measures to protect industrial automation environments.
Fee Structure
Standard Fee: INR 9,998 USD 298
Discounted Fee: INR 4999 USD 149
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
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Key Takeaways
Program Assessment
Certification to this program will be based on the evaluation of following assignment (s)/ examinations:
Exam | Weightage |
---|---|
Mid Term Assignments | 50 % |
Project Report Submission (Includes Mandatory Paper Publication) | 50 % |
To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.
Program Deliverables
- Access to e-LMS
- Real Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet
Future Career Prospects
- IIoT Engineer
- Industrial Automation Specialist
- Control Systems Engineer
- Process Automation Engineer
- Smart Manufacturing Consultant
- Cybersecurity Specialist for Industrial Systems
Job Opportunities
- Manufacturing and industrial companies implementing smart automation solutions.
- Engineering firms specializing in automation, IIoT, and data-driven process optimization.
- R&D roles in developing IIoT technologies and applications for industrial use.
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