Industrial IoT Fundamentals on AWS
Learn Industrial IoT basics, IoT vs IIoT differences, and AWS IoT Greengrass for edge computing in this introductory course.
Learn Industrial IoT basics, IoT vs IIoT differences, and AWS IoT Greengrass for edge computing in this introductory course.
Explore the world of Industrial IoT (IIoT) and its crucial differences from consumer IoT in this comprehensive course. Designed for professionals new to the industry, it bridges the gap between traditional industrial systems and modern cloud technologies. Learn about sensors, gateways, and cloud integration in IIoT ecosystems. Discover AWS IoT Greengrass, a powerful software suite extending AWS IoT Core capabilities to edge devices. The course covers machine learning applications in IIoT and essential security considerations. Perfect for engineers and architects looking to upskill in cloud-based industrial solutions, this course aligns with Industry 4.0 standards and prepares you for the future of industrial automation and data exchange.
Instructors:
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What you'll learn
Understand the fundamental concepts of Industrial IoT (IIoT)
Differentiate between consumer IoT and Industrial IoT
Explore the components of IIoT systems including sensors, gateways, and cloud integration
Learn about AWS IoT Greengrass and its application in edge computing
Discover how machine learning is applied in Industrial IoT scenarios
Understand the security considerations specific to Industrial IoT environments
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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Module Description
This course provides a comprehensive introduction to Industrial IoT (IIoT) and its applications. It covers the fundamental differences between consumer IoT and IIoT, exploring the unique challenges and opportunities in industrial settings. Students will learn about the key components of IIoT systems, including sensors, gateways, and cloud integration. The course introduces AWS IoT Greengrass, demonstrating how cloud capabilities can be extended to edge devices for improved efficiency and real-time processing. Machine learning applications in IIoT are discussed, showing how advanced analytics can drive predictive maintenance and process optimization. Security considerations specific to industrial environments are also covered, ensuring students understand the importance of protecting critical infrastructure. The course is designed to bridge the knowledge gap for professionals transitioning into IIoT, aligning with Industry 4.0 standards and preparing students for the future of industrial automation.
Fee Structure
Instructors
Principal Cloud Technologist
Rafael “Raf” Lopes is a Brazilian Senior Cloud Technologist based out of New York, and has been determined to share as much knowledge as possible around the world to everyone with Internet access! Outside of AWS, you can find him taking street photographies around big cities, playing Pink Floyd solos on the guitar, cooking for his family, or enjoying videogames with his friends. He also loves to connect with customers and students on his Twitter at @DeployToProd.
Senior Cloud Technologist
Russ has been in the tech industry since the very early days of the web. After many years in software, Russ made the switch to education and has found the area to be very rewarding. He looks back fondly on the days of dial up internet and under construction icons. When not trying his hardest to keep up with the tech Russ is kept very busy with family chores all over Sydney.
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