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6 Powerful Advantages of the Modular AI Training Platform for Vocational Excellence – Shenzhen Polytechnic

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Discover how Shenzhen Polytechnic boosts hands-on AI skills with the Modular AI Training Platform, an advanced teaching solution for real-world learning and vocational innovation.

Case Overview

To keep pace with the rising demand for skilled AI professionals, Shenzhen Polytechnic deployed a Modular AI Training Platform tailored to vocational education. This solution empowers students to gain practical AI experience through modular, industry-oriented experiments, bridging the gap between theory and job-ready skills. This article outlines the deployment process, features, and six powerful advantages of implementing this platform at one of China’s most renowned vocational institutions.

About the Institution

Shenzhen Polytechnic (SZPT), located in the heart of China’s innovation hub, is a national leader in higher vocational education. The school is known for its strong ties to local industries and emphasis on applied learning. SZPT has been listed in the China High Vocational Colleges Rankings and maintains strategic partnerships with technology giants in the Guangdong-Hong Kong-Macao Greater Bay Area.

The Department of Artificial Intelligence and Big Data focuses on training students in machine learning, edge computing, and human-computer interaction. Facing rapid industry changes, the department sought a comprehensive and scalable AI teaching system.

Challenges in Vocational AI Education

Before implementing the Modular AI Training Platform, the institution faced several key obstacles:

  • Lack of Modular, Scalable Tools: Existing labs could not support different AI modules or cross-disciplinary teaching needs.
  • Fragmented Course Design: AI theory and practical training were taught separately, affecting learning outcomes.
  • Insufficient Hardware for Edge AI: Students lacked exposure to edge AI deployment environments like Ascend or Jetson.
  • Limited Teaching Resources: Faculty spent excessive time customizing experiments without standardized teaching kits.

These challenges hindered the institution’s ability to offer modern, industry-relevant AI training at scale.

Our AI & Robotics Education Solution

Modular AI Training Platform：

Shenzhen Polytechnic selected the Modular AI Training Platform, which includes:

  • AI experiment boxes supporting Python, TensorFlow, OpenCV, and visual programming
  • Built-in edge computing support for Ascend 310 and Jetson NX
  • Configurable AI modules: computer vision, speech recognition, depth sensing, and robotic arms
  • Remote device management and reset features to support classroom efficiency

This platform seamlessly integrates into existing vocational curricula while meeting high industrial training standards.

Implementation Highlights: Modular Learning, Real-World Projects

  • Modular Architecture: Instructors can select from a suite of 12+ plug-and-play AI experiments.
  • Vocational Relevance: Modules reflect real-world job scenarios (e.g., object detection, speech interfaces).
  • Cross-Curricular Integration: AI integrated with automation, robotics, and industrial IoT teaching.
  • Hands-on Labs: Each student pair operates one device, promoting direct interaction with sensors, vision systems, and robot control units.
  • Cloud-based Management: Supports updates, monitoring, and collaborative work from campus or remotely.

This implementation greatly enhanced course engagement and skill relevance.

Results & Feedback from Shenzhen Polytechnic

After one semester of implementation:

  • 200+ students trained using the Modular AI Platform
  • Student satisfaction rated over 93%
  • Course preparation time reduced by 35%
  • AI competition teams reported faster prototype development using the platform
  • Local employers commended graduates for their applied project experience

Faculty feedback highlighted the ease of integration and strong alignment with industry needs.

Snapshot: AI & Robotics Teaching Setup

  • Main Hardware: 20 AI Experiment Boxes (Jetson NX + sensors + vision)
  • Software: Built-in Ubuntu, Python, ROS support, visual programming environment
  • Integration: Used in courses like AI Application Technology, Robot Programming, and Smart Manufacturing Projects
  • Learning Format: 1 platform per 2 students; supports in-class and self-guided lab sessions
  • Facilities: Smart lab with display screen, teacher control terminal, cloud resource access

This setup provides a future-ready environment for project-based vocational learning.

Ready to Build Your Modular AI Training Lab?

The success at Shenzhen Polytechnic proves that a modular, scalable approach to AI education is both practical and impactful. If you’re planning to upgrade your AI teaching capabilities, contact us to explore:

  • Custom AI lab design
  • Curriculum development
  • Faculty training programs
  • AI+robotics integration

Let’s build a future-ready AI education ecosystem—starting today.