Position： Home> College Services> Higher Vocational School> Solutions>Industry-Education Integration Practical Center
AI Technology Application
Solution Overview
The Center is designed to meet the development framework of the new generation of information technology industries and the new era's demand for digital skilled workers. It focuses on the cultivation of "digital craftsmen" for positions such as data collection and annotation engineers, AI trainers, and AI application development engineers, and builds a comprehensive, progressive, and integrated practical teaching system covering the entire process of talent development. It also constructs a set of hardware and software training equipment and environments, a smart management platform, and related training teaching documents and resources to support the system. This platform is designed to provide "job-oriented, real-world production-focused, integration of vocational certification, progressive training system, and smart platform-driven" digital industry craftsman training.
Feature
? The project scenarios are industrialized, and the projects are from Dongyan Soft Industry and strategic emerging industries, including autonomous driving and intelligent monitoring.
? The project-based teaching is case-based, with the project being disassembled and transformed into teaching, to achieve the compatibility between industrial-level project technology and teaching.
? The project technology is cutting-edge, with the use of advanced technologies such as Generative Adversarial Networks (GANs) and open-source AI frameworks, as well as the integration of hardware and software to highlight the new ecology of artificial intelligence applications.
? The project system is advanced, with five-level projects spanning multiple courses and covering the three positions of data collection and annotation engineers, artificial intelligence trainers, and artificial intelligence application development engineers.
? The project training is engineering-oriented, following the engineering specifications, standards, and procedures of enterprise project development.
? The supporting resources are refined, with a rich set of "six-piece" resources, including course standards, lesson plans, teaching materials, teaching micro videos, etc., ready to use out of the box.
Construction Content
Target Job Positions
Through industry demand research and analysis, the most in-demand positions in the future industry were identified, with the highest demand from vocational students being the positions of data collection and annotation engineers, artificial intelligence training instructors, and artificial intelligence application development engineers. The target job positions are: data collection and annotation engineers, artificial intelligence training instructors, and artificial intelligence application development engineers.
Practical Course Resources
The typical work tasks and professional ability requirements of the target job positions were transformed into a modularized curriculum system with an "engineering ability orientation, integration of course, competition, and certification," focusing on the development of engineering ability. Among them, there are 6 basic courses and 10 core courses.
Data Collection and Annotation Training Lab
The training room mainly supports the data collection and annotation engineer position, including 1 course project and 2 comprehensive projects, using the mainstream annotation tools such as LabelImg to cover the data annotation and data preprocessing ability training required by the data collection and annotation engineer position. Supports the three courses of data annotation technology, data collection technology and application, and data processing and analysis.
Artificial Intelligence Training Master Training Center
The training center mainly supports the artificial intelligence training master position, including 2 comprehensive projects, using common artificial intelligence algorithm libraries, word vector encoding methods, etc. to train and test artificial intelligence deep learning algorithm models. It covers the ability training of building algorithm models and training algorithm models required by the artificial intelligence training master position. It supports the development of machine learning applications, deep learning applications, algorithm model testing and optimization, three courses.
Artificial Intelligence Application Development Training Center
The training center is mainly divided into three sub-training centers for visual, language, and speech technologies.
Computer Vision Analysis Direction, mainly supports the visual technology direction of the artificial intelligence application development position, including 5 comprehensive projects, paired with the artificial intelligence experiment box hardware, covering the typical application scenarios of computer vision (Computer Vision, abbreviated as CV). The natural language processing direction mainly supports the natural language processing technology direction of the artificial intelligence application development position, including 8 comprehensive projects, paired with the artificial intelligence experiment box hardware, covering the typical application scenarios of natural language processing (Natural Language Processing, abbreviated as NLP), integrating large language models (LLMs) and RAG models. Intelligent Speech Training Direction
This direction mainly supports the speech processing technology direction of artificial intelligence application development positions, consisting of 7 comprehensive projects, combined with the hardware of the artificial intelligence experiment box, covering application scenarios such as real-time processing of voice signals and Chinese voice recognition based on artificial intelligence.
Smart Monitoring Training Lab
The Lab has created a series of AI smart products around the digitalization of education process, consisting of 4 comprehensive projects, which can support the cultivation of the capabilities of data collection and annotation engineers, artificial intelligence training teachers, and artificial intelligence application development engineers.
Self-driving Training Lab
The Lab closely aligns with the strategic development plans of the country for intelligent transportation, artificial intelligence, and automation technology, consisting of 5 comprehensive projects, combined with the autonomous driving sandbox and autonomous driving intelligent car hardware, covering the hardware practice of autonomous driving, radar environment perception technology, visual environment perception technology, and the process of achieving autonomous driving. The training room can support the cultivation of the capabilities of data collection and annotation engineers, artificial intelligence training teachers, and artificial intelligence application development engineers.
Applicable Major
Higher Vocational College: Big Data Technology, Artificial Intelligence Technology Application, etc.
Typical Case
The Center is designed to meet the development framework of the new generation of information technology industries and the new era's demand for digital skilled workers. It focuses on the cultivation of "digital craftsmen" for positions such as data collection and annotation engineers, AI trainers, and AI application development engineers, and builds a comprehensive, progressive, and integrated practical teaching system covering the entire process of talent development. It also constructs a set of hardware and software training equipment and environments, a smart management platform, and related training teaching documents and resources to support the system. This platform is designed to provide "job-oriented, real-world production-focused, integration of vocational certification, progressive training system, and smart platform-driven" digital industry craftsman training.
Feature
? The project scenarios are industrialized, and the projects are from Dongyan Soft Industry and strategic emerging industries, including autonomous driving and intelligent monitoring.
? The project-based teaching is case-based, with the project being disassembled and transformed into teaching, to achieve the compatibility between industrial-level project technology and teaching.
? The project technology is cutting-edge, with the use of advanced technologies such as Generative Adversarial Networks (GANs) and open-source AI frameworks, as well as the integration of hardware and software to highlight the new ecology of artificial intelligence applications.
? The project system is advanced, with five-level projects spanning multiple courses and covering the three positions of data collection and annotation engineers, artificial intelligence trainers, and artificial intelligence application development engineers.
? The project training is engineering-oriented, following the engineering specifications, standards, and procedures of enterprise project development.
? The supporting resources are refined, with a rich set of "six-piece" resources, including course standards, lesson plans, teaching materials, teaching micro videos, etc., ready to use out of the box.
Construction Content
Target Job Positions
Through industry demand research and analysis, the most in-demand positions in the future industry were identified, with the highest demand from vocational students being the positions of data collection and annotation engineers, artificial intelligence training instructors, and artificial intelligence application development engineers. The target job positions are: data collection and annotation engineers, artificial intelligence training instructors, and artificial intelligence application development engineers.
Practical Course Resources
The typical work tasks and professional ability requirements of the target job positions were transformed into a modularized curriculum system with an "engineering ability orientation, integration of course, competition, and certification," focusing on the development of engineering ability. Among them, there are 6 basic courses and 10 core courses.
Data Collection and Annotation Training Lab
The training room mainly supports the data collection and annotation engineer position, including 1 course project and 2 comprehensive projects, using the mainstream annotation tools such as LabelImg to cover the data annotation and data preprocessing ability training required by the data collection and annotation engineer position. Supports the three courses of data annotation technology, data collection technology and application, and data processing and analysis.
Artificial Intelligence Training Master Training Center
The training center mainly supports the artificial intelligence training master position, including 2 comprehensive projects, using common artificial intelligence algorithm libraries, word vector encoding methods, etc. to train and test artificial intelligence deep learning algorithm models. It covers the ability training of building algorithm models and training algorithm models required by the artificial intelligence training master position. It supports the development of machine learning applications, deep learning applications, algorithm model testing and optimization, three courses.
Artificial Intelligence Application Development Training Center
The training center is mainly divided into three sub-training centers for visual, language, and speech technologies.
Computer Vision Analysis Direction, mainly supports the visual technology direction of the artificial intelligence application development position, including 5 comprehensive projects, paired with the artificial intelligence experiment box hardware, covering the typical application scenarios of computer vision (Computer Vision, abbreviated as CV). The natural language processing direction mainly supports the natural language processing technology direction of the artificial intelligence application development position, including 8 comprehensive projects, paired with the artificial intelligence experiment box hardware, covering the typical application scenarios of natural language processing (Natural Language Processing, abbreviated as NLP), integrating large language models (LLMs) and RAG models. Intelligent Speech Training Direction
This direction mainly supports the speech processing technology direction of artificial intelligence application development positions, consisting of 7 comprehensive projects, combined with the hardware of the artificial intelligence experiment box, covering application scenarios such as real-time processing of voice signals and Chinese voice recognition based on artificial intelligence.
Smart Monitoring Training Lab
The Lab has created a series of AI smart products around the digitalization of education process, consisting of 4 comprehensive projects, which can support the cultivation of the capabilities of data collection and annotation engineers, artificial intelligence training teachers, and artificial intelligence application development engineers.
Self-driving Training Lab
The Lab closely aligns with the strategic development plans of the country for intelligent transportation, artificial intelligence, and automation technology, consisting of 5 comprehensive projects, combined with the autonomous driving sandbox and autonomous driving intelligent car hardware, covering the hardware practice of autonomous driving, radar environment perception technology, visual environment perception technology, and the process of achieving autonomous driving. The training room can support the cultivation of the capabilities of data collection and annotation engineers, artificial intelligence training teachers, and artificial intelligence application development engineers.
Integrated Smart Education Platform
The integrated smart education platform integrates various application scenarios such as "teaching, learning, management, training, and evaluation", providing powerful data support and decision-making basis for managers, providing personalized and intelligent lifelong education services for students including academic education, job hunting, and self-improvement; providing smart teaching environment and convenient teaching interaction tools for teachers to carry out blended learning, steadily improving teaching quality.
Applicable Major
Higher Vocational College: Big Data Technology, Artificial Intelligence Technology Application, etc.
Typical Case
Project of "Big Data Vocational Education and Training Integration Base" at Fujian Information Vocational and Technical College
Project of "Artificial Intelligence Innovation Center" at Guangdong Science and Technology Vocational College
辽公网安备 21029602000700号