{"id":20910,"date":"2020-04-15T20:35:10","date_gmt":"2020-04-15T20:35:10","guid":{"rendered":"https:\/\/intelitek.com\/?page_id=20910"},"modified":"2023-04-03T10:16:55","modified_gmt":"2023-04-03T15:16:55","slug":"industry-4-0-curriculum","status":"publish","type":"page","link":"https:\/\/intelitek.com\/industry-4-0-curriculum\/","title":{"rendered":"Industry 4.0 Curriculum"},"content":{"rendered":"\t\t
Smart manufacturing and Industry 4.0 are a huge shift in how industrial processes work. While the core skills are similar, the introduction of new advanced technologies like smart sensors, the extensive use of communications, advanced integration, and modern software and computing have changed manufacturing.<\/p>\n
Intelitek Industry 4.0 Curriculum offer learners expertise in the broader ecosystem as well as new Industry 4.0 technology innovations.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
Curriculum for Industry 4.0:<\/strong><\/em><\/p> Intelitek Smart Series curriculum augment our advanced manufacturing programs introducing students to Industry 4.0 theories and technology<\/p>\n Introduction to Industry 4.0 offers a window into the impact of the Fourth Industrial Revolution and its accompanying technologies on the modern manufacturing industry. Using examples and analogies from real-world enterprises, the course explores Industry 4.0 concepts, processes, and technologies, and testifies to how these components interconnect together in order to grow the manufacturing industry of the future.<\/p> Course Outline<\/strong><\/p> Introduction to the Internet of Things and Connectivity focuses on the vast network of smart sensors and devices and their impact on the manufacturing world. This course also explores topics related to the interconnection of IoT and industrial devices, such as SCADA systems, cloud computing, edge computing, and machine vision systems.<\/p> Course Outline<\/strong><\/p> \u00a0<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t Introduction to Networking and Cybersecurity is an in-depth look at communication\u00a0exchange in modern industry, from the Internet to the Industrial Internet of Things\u00a0(IIoT) and Cloud technologies. The course covers key networking principles, and\u00a0concentrates on the structure and importance of industry-focused cybersecurity\u00a0exploring threats that manufacturing entities have to contend with and combat.<\/p> Course Outline <\/strong><\/p> The curriculum explores the modern world of data, including its collection, processing, management, visualization, and ultimately, its uses. The course also delves into big data implementation in cutting-edge manufacturing, and machine learning, predictive analytics, modeling, simulation, improvement of processes and progress indicators.<\/p> Course Outline <\/strong><\/p> This course explores how technologies interact with\u00a0each other and with industrial components to create\u00a0efficient, productive, and profitable enterprises.\u00a0Emphasizing use cases, the course investigates digital\u00a0threads, flexible manufacturing, and asset tracking.<\/p> Prerequisite: Intro to Industry 4.0 (lvl 1)<\/em><\/p> Course Outline <\/strong><\/p> Advanced IIoT and Connectivity for Industry 4.0 focuses on the vast network of smart sensors and devices that is the Internet of Things (IoT) and how such systems are integrated and deployed in today’s industrial environments.Building on the introductory course, Advanced IIoT and Connectivity delves deeper into the workings of industrial operation technologies (OT) and information technologies (IT).<\/p> Prerequisite: Intro to IoT and Connectivity (lvl 1)<\/em><\/p> Course Outline<\/strong><\/p> The course explores cybersecurity concepts and investigates the ways that cyberattacks\u00a0can occur and be prevented in industrial control systems and IIoT networks.<\/span><\/p> Prerequisite: Intro to Cybersecurity (lvl 1)<\/em><\/p> Course Outline <\/strong><\/p> This course explores the different types of software that are essential for a production\u00a0company’s success in the automated commercial and industrial landscape.<\/span><\/p> Course Outline<\/strong><\/p> Data collection, storage, and analytics play a massive role\u00a0in the manufacturing industry. The vast amounts of data\u00a0<\/span>generated by production processes and the potential\u00a0<\/span>involved in the use of this data creates substantial\u00a0<\/span>economic opportunities for businesses that take advantage\u00a0<\/span>of them. Advanced Data Science for Industry 4.0 explores\u00a0<\/span>how the proper use of data can help manufacturing\u00a0<\/span>enterprises significantly improve their bottom line.<\/span><\/p> Course Outline<\/strong><\/p> High level look at the Industry 4.0 Smart manufacturing in industry and the trends and use cases for technology<\/p> Course Outline <\/strong><\/p> A look at industry 4.0 from the business perspective. The course will look at the benefits and justifications for manufacturing.<\/p> Course Outline <\/strong><\/p> Use cases examples (Case Studies)<\/p>\n
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Level 3<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
Examples of Course Content<\/h3>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t