Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Subscribe
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Introduction to Smart Manufacturing
Rating: 4.8 out of 5(3 ratings)
183 students

Introduction to Smart Manufacturing

Digital Transformation Through IIoT, Digital Twins, Predictive Maintenance & Cybersecurity
Created byInnerAutomation Company
Last updated 4/2025
English
English [Auto],

What you'll learn

  • Connect industrial equipment using IIoT protocols like MQTT and OPC-UA for real-time data acquisition and remote monitoring.
  • Build and apply digital twins to simulate, optimize, and monitor manufacturing processes with real-world data integration.
  • Develop predictive maintenance models using AI and ML to detect failures early and reduce unplanned downtime.
  • Implement cybersecurity best practices to protect connected factory systems from OT threats and network vulnerabilities.

Explore related topics

Course content

1 section • 7 lectures • 29m total length

  • Introduction & Industry Context5:19

    Explore how Industry 4.0 drives smart manufacturing through IoT, digital twins, predictive maintenance, and cybersecurity, with practical guidance to lead digital transformation in manufacturing.

  • Industrial IoT (IIoT) Fundamentals3:48

    Explore industrial IoT fundamentals, where sensors, edge computing, and cloud dashboards enable real-time data-driven automation on the factory floor. Learn how MQTT and OPC UA enable secure, scalable connectivity.

  • Digital Twins5:40

    Explore how digital twins create a real-time virtual mirror of physical systems, using sensor data and simulations to predict failures, optimize processes, and safely test changes before deployment.

  • Predictive Maintenance with AI & Machine Learning3:19

    Explore how ai and machine learning drive predictive maintenance in smart manufacturing by forecasting failures from real-time sensor data, reducing downtime and maintenance costs.

  • Cybersecurity for the Connected Factory5:03

    Defend the connected factory with layered cybersecurity across devices, networks, applications, and cloud interfaces. Enforce segmentation, TLS, authentication, and intrusion detection while auditing systems and training teams.

  • Integration Strategies & Real-World Applications3:39

    Integrate sensors, digital twins, predictive maintenance, and cybersecurity to achieve real-time visibility across factories. Learn proven approaches from Bosch and Siemens to secure and scale your smart manufacturing deployments.

  • Wrap-Up, Summary, and Q&A3:08

    Bridge industry 4.0 ideas by showing how IIoT, digital twins, AI, and cybersecurity enable real-time connectivity and predictive insights in smart manufacturing.

Requirements

  • No prior experience with IIoT, AI, or digital twins is required—this course is beginner-friendly.
  • A basic understanding of manufacturing or industrial systems is helpful but not mandatory.
  • Familiarity with common engineering terms (e.g., sensors, actuators, PLCs) will enhance the learning experience.
  • A computer with internet access to view lessons and download optional resources (datasets, code, checklists).

Description

The manufacturing world is changing fast—are you ready to lead the transformation?

Smart Manufacturing: Digital Transformation through IIoT, Digital Twins, Predictive Maintenance & Cybersecurity is your step-by-step guide to mastering the technologies driving Industry 4.0.

This hands-on course is designed for engineers, technicians, plant managers, and forward-thinking professionals who want to modernize their operations and reduce downtime using data-driven tools.

What You'll Learn

  • How to connect machines and sensors using IIoT protocols like MQTT and OPC-UA.

  • How to build and simulate digital twins for process optimization and predictive control.

  • How to use machine learning models to forecast failures and enable predictive maintenance.

  • How to secure your factory with cybersecurity strategies tailored for connected industrial environments.

  • How to integrate all of these technologies into a cohesive smart manufacturing framework.

Why This Course?

  • Taught by an industry expert with experience in control systems, automation, and R&D.

  • Includes real-world examples, live demonstrations, and downloadable resources like cheat sheets, sensor data, simulation files, and checklists.

  • Designed for both beginners and experienced professionals looking to upskill quickly.

Course Features

  • 7 modules of expert-led video content

  • Downloadable project files and templates

  • A complete pilot project planning toolkit

  • No programming experience required

Whether you're looking to kick off a pilot project, improve asset efficiency, or take your career to the next level, this course will give you the tools and confidence to thrive in the age of smart manufacturing.

Enroll now and future-proof your factory—and your career.

Who this course is for:

  • Engineers looking to connect legacy equipment to modern IIoT platforms.
  • Professionals seeking practical skills in digital twins, predictive maintenance, and AI-driven diagnostics.
  • Decision-makers and consultants planning or managing smart factory initiatives.
  • Anyone curious about how cybersecurity, data, and machine learning come together in the modern manufacturing environment.

Report abuse