Overview

Class Central Tips

Course Description: This course provides a comprehensive introduction to the key technologies driving Industry 4.0 in the manufacturing sector. It covers artificial intelligence (AI), machine learning (ML), deep learning (DL), big data analytics, blockchain technology, virtual reality (VR), augmented reality (AR), mixed reality (MR), cloud computing, and cybersecurity. Learners will gain a deep understanding of how these technologies interact to create smart factories, improve production processes, and drive innovation. Through theoretical learning and practical case studies, learners will acquire essential skills for implementing and leveraging Industry 4.0 technologies in manufacturing. Benefits: 1. Holistic Knowledge of Industry 4.0 Technologies: Gain a comprehensive understanding of key Industry 4.0 technologies and how they transform manufacturing processes. 2. Hands-on Implementation Skills: Develop practical skills for effectively implementing and integrating advanced manufacturing technologies through detailed modules and real-world case studies. 3. Enhanced Innovation and Efficiency: Equip yourself with the knowledge to drive innovation, improve production efficiency, and maintain a competitive edge in the manufacturing industry by staying updated on the latest trends and best practices. Target Audience: This course is designed for manufacturing engineers, production managers, industrial engineers, and anyone interested in understanding and implementing Industry 4.0 technologies. It is suitable for professionals seeking to enhance their knowledge and practical skills in modern manufacturing technologies. Note: This is the 3rd course of the specialization - "Advances in Manufacturing Technology."

Syllabus

Artificial Intelligence and Big Data Analytics

This module introduces participants to artificial intelligence (AI) and big data analytics in manufacturing. Participants explore AI fundamentals, components, and applications. They learn the differences between AI, machine learning (ML), deep learning (DL), and big data analytics, with practical applications in manufacturing. The module also covers real-world case studies, impacts on manufacturing processes, and future trends. Through focused video lectures, participants gain insights into leveraging AI and big data analytics for enhanced manufacturing efficiency and innovation

Blockchain Technology

This module introduces blockchain technology and its applications in manufacturing. Participants learn the basics of blockchain, smart contracts, and their manufacturing use cases. Key features like decentralization, immutability, consensus mechanisms, and security are explored. The module also covers the impact of blockchain on manufacturing, real-world applications, and future trends. Through concise video lectures, participants gain insights into leveraging blockchain for enhanced manufacturing processes and innovation.

Virtual Reality (VR), Augmented Reality (AR) and Mixed Reality (MR)

This module explores virtual, augmented, and mixed reality technologies and their applications in manufacturing. Participants learn about VR and AR, their differences, and extended reality (XR) and mixed reality (MR). Key impacts on the manufacturing industry and future trends are discussed. The module includes practical use cases of AR in training, VR in product design and prototyping, and applications for remote assistance and maintenance. Through focused video lectures, participants gain insights into leveraging these technologies for enhanced manufacturing processes and innovation.

Cloud Computing and Cyber Security

This module explores cloud computing and cybersecurity, emphasizing their significance in the manufacturing industry. Participants will learn about cloud computing fundamentals, service models, and deployment strategies, alongside the critical role of cybersecurity in Industry 4.0. The module covers practical cloud migration strategies, hybrid and multi-cloud environments, and essential cybersecurity measures. Through detailed video lectures and real-world case studies, participants will gain insights into implementing cloud-based systems and enhancing security in manufacturing operations.