Industry 4.0 I: Foundations Of Smart Manufacturing

What you’ll learn
Students will gain a comprehensive understanding of the fundamental concepts of Industry 4.0
Learn about integration of cyber-physical systems, the Internet of Things (IoT), and data-driven decision-making in manufacturing.
Learners will be able to comprehend the principles of digital twins and the Industrial Internet of Things (IIoT)
Participants will become familiar with key communication protocols and standards, such as OPC UA and MQTT

Requirements
B.S or graduate students, Mechanical engineering, Manufacturing Engineering, Aerospace Engineering, Electronics Engineering, Technicians with industry experience.

Description
Are you ready to step into the future of manufacturing and revolutionize how industries operate? This comprehensive course on Industry 4.0 and Smart Manufacturing is designed to give you the knowledge and skills needed to thrive in the era of intelligent production systems. Whether you’re a student, engineer, or industry professional, this course will guide you through the core technologies shaping modern manufacturing, from cyber-physical systems (CPS) and the Industrial Internet of Things (IIoT) to automation and predictive maintenance. By the end of the course, you’ll understand how digital twins, big data, and real-time analytics are transforming factories into smarter, more efficient operations. Through clear explanations and practical examples, you’ll learn how to optimize processes, enhance product quality, and reduce downtime. We’ll also dive into key communication protocols like OPC UA and MQTT, giving you the tools to implement seamless data exchange across devices. The course will also cover real-world case studies, showcasing how these technologies are applied in various industries. Don’t miss the opportunity to gain a competitive edge in this rapidly evolving field. Enroll today and start your journey toward mastering the technologies that are driving the future of manufacturing!Take the first part of this 3 course series and get ready for the next industrial revolution.

Overview
Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Course Structure & Syllabus

Lecture 3 Specialization Options

Section 2: Introduction to Industry 4.0

Lecture 4 Overview of Industry 4.0: Definition and key concepts.

Lecture 5 Historical evolution: From Industry 1.0 to 4.0.

Lecture 6 Importance of Industry 4.0 in modern manufacturing.

Section 3: Cyber-Physical Systems (CPS) in Manufacturing

Lecture 7 Introduction to Cyber-Physical Systems (CPS): Definition and basic principles

Lecture 8 Importance in industrial automation and manufacturing

Lecture 9 Embedded Systems

Lecture 10 Difference between embedded systems and CPS

Section 4: Introduction to IoT in Manufacturing

Lecture 11 Definition of IIoT

Lecture 12 Key IIoT-enabled devices and sensors in manufacturing

Lecture 13 IIoT and Mechanical Systems

Section 5: Digital Twins and Predictive Maintenance

Lecture 14 Introduction to Digital Twins in Manufacturing

Lecture 15 Virtual representation of physical assets for simulation.

Lecture 16 Applications of Digital Twins in Predictive Maintenance

Section 6: Data-Driven Manufacturing

Lecture 17 Introduction to Data-Driven Decision Making

Lecture 18 Role of big data and analytics in manufacturing.

Section 7: Standards and Protocols in Industry 4.0

Lecture 19 Overview of Industry 4.0 Standards

Lecture 20 Communication Protocols: OPC UA, MQTT, and Others

Lecture 21 Understanding the role of communication protocols (OPC UA, MQTT, etc.).

Section 8: Closing

Lecture 22 Closing

Engineers, senior or grad students. Entrepreneurs and Innovators, designers, manufacturing professionals (with our without a college degree). Overall, Professionals Seeking Career Growth