Dive into the transformative world of Industry 4.0 (Industrial Automation + IIoT). At iVidyaa, you will not only Develop a solid understanding of Industrial Automation and the Industrial Internet of Things (IIoT) but will also Explore communication protocols, sensor technologies, and data management by acquiring hands-on experience in implementing automation solutions and IIoT systems.
Course Duration: (550+ Hours)
| Classroom Hours | Self-Study Hours | Total Hours |
| 128 | 435 | 563 |
Fees: 60000
Discounted Fees: 40000
Tech Stack: 
Curriculum:
The Industry 4.0 course is a comprehensive program designed to equip students with the knowledge and skills necessary to thrive in the era of smart manufacturing and industrial automation. This course integrates key concepts from both Industrial Automation and the Industrial Internet of Things (IIoT), offering a robust curriculum that covers everything from the fundamentals of automation and relay control logic to advanced IIoT communications and data management. Students will explore the workings of Programmable Logic Controllers (PLCs), Supervisory Control and Data Acquisition (SCADA) systems, Human-Machine Interfaces (HMIs), motors, drives, and Variable Frequency Drives (VFDs). Additionally, the course delves into cloud-based data management and the critical role of Distributed Control Systems (DCS) in modern industrial environments.
By merging the principles of Industrial Automation with the transformative power of IIoT, this course prepares students to lead in the development and implementation of cutting-edge industrial solutions. The curriculum emphasizes practical skills, providing hands-on experience with the technologies that underpin Industry 4.0. Students will learn to design, deploy, and manage sophisticated automation systems that leverage real-time data to enhance operational efficiency, safety, and productivity. This course is essential for those aiming to become innovators in fields such as industrial engineering, automation, data analysis, and systems engineering, offering the tools and knowledge needed to drive the digital transformation of industries worldwide.
Industry 4.0 (Industrial Automation & IIoT)
Introduction to Industrial Automation
Basics of Electricity & Electronics
Panel Design & Electrical Switchgears
Protection & Safety
Relay Logic Controls (RLCs)
Automation Components
PLC Hardware
PLC Programming
Ladder Logic Programming
Functional Block Diagram (FBD) Programming (theory)
Structured Text (ST) Programming (theory)
Advance PLC Programming
Interfacing with External devices
Introduction to SCADA
SCADA System
HMI Introduction
HMI System
Introduction to Instrumentation System
Sensors & Transducers
Control Strategies
Signal Interface, Communication
Integration & Communication
Measurement & Other components
Electrical Motors & Controls
Motor Starters & Controllers
Variable Frequency Drives (VFDs)
Introduction to DCS
DCS Architecture
DCS Programming
Control & Communication
Introduction to IoT & IIoT
Components & Technologies of IIoT
Data Management Platforms
Integration & Computing
Application & Business Considerations
Case Studies & Future Trends
IIoT Architectures & Data Flow
Introduction to ESP32/ ESP32 CAM Module
Sensors & Actuators in IIoT
Programing & Interfacing with ESP32/ ESP32 CAM
Data Collection & Communication
Mini Project
Overview of IIoT Communications
Edge Gateways & Devices
Industrial Communication Protocols
IIoT Development Platforms
Mini Project
Introduction to Cloud-based data management in IoT
Cloud-based storage & security
Databases for IIoT Data
Cloud-based Data Analytics & AI
Building & Implementing Predictive Models
Introduction to Industry 4.0
Understanding the Fourth Industrial Revolution
Smart Factories
Impact of Industry 4.0 on different sectors
Challenges & Benefits of Industry 4.0
Future Directions
Benefits of this Course
● Comprehensive Skill Set in Automation and IoT: This comprehensive skill set is essential for
designing and implementing hybrid systems that leverage the strengths of both automation and
IoT, such as smart factories and connected production lines.
● Enhanced Problem-Solving Abilities: Enhanced problem-solving skills enable students to
address issues like predictive maintenance, real-time monitoring, and process optimization,
leading to increased operational efficiency and cost savings.
● Expertise in Data-Driven Decision-Making: Expertise in data analytics allows students to
implement solutions that improve quality control, enhance predictive maintenance, and optimize resource allocation, resulting in better decision-making and increased productivity.
● Proficiency with Advanced Technologies: This proficiency is critical for roles that require the design, implementation, and maintenance of complex systems that combine automation and IoT, such as in smart manufacturing, energy management, and industrial control systems.
● Strong Understanding of Industry 4.0 Concepts: Understanding Industry 4.0 concepts prepares students to lead digital transformation initiatives, helping companies adopt smart manufacturing practices and stay competitive in the global market.
● Versatility in Industrial Applications: Versatility in industrial applications enables students to pursue a wide range of career opportunities and adapt to different industry needs, whether it’s optimizing manufacturing processes, enhancing energy efficiency, or implementing smart infrastructure.
● Increased Career Opportunities and Marketability: Increased career opportunities allow students to pursue high-demand roles in cutting-edge fields, contributing to their professional growth and career advancement in industries that are increasingly reliant on automation and IoT technologies.
● Hands-On Experience with Real-World Projects: Hands-on experience is invaluable for understanding real-world challenges and developing practical solutions. It prepares students to handle the complexities of industrial systems and enhances their job readiness, making them valuable assets to employers.
FAQs
| Language | English |
| Hours | 250Hrs |
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