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Introduction to Smart Manufacturing
183 students
Introduction to Smart Manufacturing
Digital Transformation Through IIoT, Digital Twins, Predictive Maintenance & Cybersecurity
Created byInnerAutomation Company
Last updated 4/2025
English
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.
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Course content
1 section • 7 lectures • 29m total length
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.