Industrial IoT (IIoT) Technology

Curriculum: Project-driven learning that integrates theory with practice
Core Skills: Industrial internet capabilities aligned with industry skill standards
Faculty: Joint instruction by enterprise engineers and college experts
Platform: Full-process virtual simulation platform for data acquisition, identifier resolution, edge computing, data analysis, platform applications, and app development
Employment: Skills aligned with industrial internet industry needs
Target Partners: Enterprises, educational institutions, industry associations, and other organizations
COURSE DESCRIPTION

Industrial IoT (IIoT) Technology

Course Overview

This course focuses on the core domains of Industrial IoT (IIoT) technology, adopting a three-tier "Foundations + Core + Applications" curriculum structure. Foundation courses include Introduction to the Industrial Internet, Programming Fundamentals, Networking and Communication Technology, and Database Applications. Core courses cover:

  • Data Acquisition Technology
  • Identifier Resolution Technology
  • Edge Computing
  • Data Analysis Technology
  • Platform and Applications
  • Industrial App Development and Applications.

Utilizing virtual reenactment as the conveyance medium, this course coordinating hypothesis with hone to create learners’ center capabilities, making a difference them construct job-relevant abilities for mechanical web designing usage, operations, and support, information administrations, and application advancement.

Why This Course?

1.Curriculum

Combines theory with practice through project-driven learning, helping learners apply skills in practical industrial scenarios.

2.Skills

Aligned with industry skill standards, building core industrial internet competencies.

3.Faculty

Joint instruction by enterprise engineers and academic experts.

4.Platform

Full-process virtual simulation lab platform supporting data acquisition, identifier resolution, edge computing, data analysis, platform applications, and app development.

5. Career Paths

Mapped to industrial internet industry needs, helping learners build job-relevant capabilities.

What You'll Be Able to Do?

1. Apply Industrial Internet Data Acquisition Technology

  • Configure industrial field data acquisition methods and device-to-cloud connectivity
  • Select sensors, configure communication protocols (OPC UA, MQTT, etc.), and set up SCADA systems
  • Debug data acquisition systems and complete hardware connections

2. Apply Industrial Internet Identifier Resolution Technology

  • Register and resolve identifiers using the Handle System
  • Apply identifier carrier technologies, including RFID and QR codes
  • Build product full-lifecycle traceability systems

3. Deploy Industrial Internet Edge Computing

  • Apply edge computing architecture principles and local data processing strategies
  • Configure edge gateways and deploy containerized applications
  • Implement real-time industrial data response and algorithm deployment at the edge

4. Perform Industrial Internet Data Analysis

  • Apply data cleaning, feature extraction, and statistical analysis methods
  • Develop visualization dashboards and apply data mining algorithms
  • Support production decision optimization and deliver data visualization services

5. Manage Industrial Internet Platforms and Applications

  • Understand industrial internet platform functional modules and architecture
  • Manage tenants, deploy applications, and monitor platform operations
  • Drive platform operations management and industrial application innovation

6. Develop Industrial Apps

  • Apply industrial App development technology stacks across the full design-to-deployment lifecycle
  • Perform requirements analysis, UI design, feature development, testing, and deployment
  • Transform industrial domain knowledge into software solutions and develop scenario-based applications

What You Will Learn?

Training Skills
Description
1. Industrial Internet Data Acquisition Technology
Configure end-to-end industrial device data acquisition—sensor selection, data acquisition hardware connection, communication protocol setup (OPC UA, MQTT), and SCADA system configuration. Apply field data acquisition methods, device-to-cloud configuration, and data acquisition system debugging.
2. Industrial Internet Edge Computing
Deploy and configure edge computing systems—edge gateway setup, containerized deployment, and local data processing strategy development.
Apply edge computing architecture principles.
Configure edge devices and deploy algorithms for real-time industrial data response.
3. Industrial Internet Data Analysis Technology
Process industrial data end-to-end—data cleaning, feature extraction, statistical analysis, and visualization dashboard development.
Apply data mining algorithms.
Deliver industrial data visualization services to support production decision optimization.
4. Industrial Internet Platform & Applications
Configure industrial internet platforms and deploy applications—understand platform architecture, manage tenants, deploy applications, and monitor operations.
Apply platform functional modules and drive platform operations management and industrial application innovation.
5. Industrial App Development & Applications
Build industrial apps from design through deployment—requirements analysis, UI design, feature development, testing, and deployment.
Apply industrial app development technology stacks.
Design and develop scenario-based applications.
Transform industrial domain knowledge into software.

Learning Environment

The platform builds a closed-loop technical system from data acquisition to application development, comprising six integrated modules:

  • Data Acquisition Platform — Configure sensors, perform protocol conversion, and manage device-to-cloud data ingestion to control the industrial data entry point.
  • Identifier Resolution Platform — Implement full-lifecycle traceability management using identifier registration and resolution technologies.
  • Edge Computing Platform — Support localized data processing and real-time response at the network edge.
  • Data Analysis Platform — Deliver full-process services, including data cleaning, visualization, and mining analysis.
  • Platform Application Environment — Support industrial internet platform configuration and operations management.
  • App Development Platform — Provide an integrated environment for industrial app design, development, testing, and deployment.

All stages work collaboratively, shaping an coordinates "Procurement → Determination → Computing → Examination → Application" innovation framework covering the key portions of mechanical web innovation. Built on virtual reenactment innovation and open through shrewd terminals, the stage empowers learners to hone in a exceedingly reasonable environment, breaking time and area limitations for on-demand expertise improvement.

Learning Environment

Company Strength

At ECR Academy, we bring real-world Industrial IoT (IIoT) Technology training expertise refined through 16 years of vocational education excellence. Our comprehensive approach combines project-driven curriculum with hands-on experience using full-process virtual simulation platforms covering data acquisition, identifier resolution, edge computing, and platform applications. Here's what sets our product program apart:

  • Nearly 500,000 participants trained across China and 28 countries since 2010, with over 300,000 earning recognized skills certifications
  • Access to 3,300+ industry and academic experts who understand operational technology and information technology integration
  • Partnership network exceeding 500 enterprises actively implementing smart manufacturing and Industry 4.0 solutions
  • Over 60,000 educational resources including skill standards, assessment systems, and real-world case studies aligned with IEC standards
  • 150+ successfully organized skills competitions helping 30,000+ learners master industrial communication protocols and edge computing
  • Joint instruction model pairing enterprise engineers with college experts for practical, industry-relevant training

You'll pick up capabilities specifically tending to cutting edge mechanical challenges like prescient upkeep, keen network administration, and handle robotization through our demonstrated industry-academia collaboration system.

Company Strength

FAQ

Q: Can I take this course with no earlier background?

A: Yes. The program employments a dynamic instructing approach, beginning from foundational mechanical web concepts and standards some time recently progressing to center innovations. Essential computer proficiency and a few establishment in science are suggested. A comprehensive learning bolster framework is accessible to offer assistance fledglings get begun smoothly.

Q: What career ways does this program plan me for?

A: Learners can create abilities significant to parts such as:

  • Industrial Device Data Acquisition Engineer
  • Industrial Internet Identifier Resolution Technician
  • Edge Computing System Operations Engineer
  • Industrial Data Analyst
  • Industrial Internet Platform Operations Engineer
  • Industrial App Development Engineer.

Q: How is the platform deployed?

A: The platform uses virtual simulation technology accessible via smart terminals. Learners only need a computer meeting minimum specifications (Windows 10, 8 GB RAM or above) to perform virtual simulation operations—no complex local environment setup is required.

Contact Us

Contact Us

Ready to build your Industrial IoT (IIoT) Technology capabilities? Connect with ECR Academy today at ecr2008@enteredu.com to explore tailored training solutions for your team.