1、 Construction of AI curriculum system: multidimensional construction, consolidating professional foundation
Rheingold has carefully crafted three distinctive and hierarchical curriculum systems, comprehensively covering different learning stages and professional needs, and providing students with a complete learning path from basic introduction to professional deepening, and then to expanding applications.

1. AI General Education Course: Popularize basic knowledge of artificial intelligence, build basic application abilities, and open up AI cognition with zero threshold.

2. Industrial AI Deepening Course: Based on Python and intelligent manufacturing scenarios, cultivate industrial AI development capabilities and connect with high-end industry needs.

3. Intelligent Agent Development Course: Focusing on innovative practices with low technological barriers, enhancing the comprehensive ability of intelligent agent development and application.

2、 Teaching Assistant: Intelligent and Efficient, Activating Classroom Vitality
The teaching assistant section of the Rhine AI intelligent computing platform, with its rich and practical functions, has become a powerful assistant for teachers’ teaching and students’ learning, significantly improving teaching effectiveness and learning experience.
1. Intelligent question generation: Based on big data and teaching syllabus, intelligent analysis of learning situation, dynamic generation of accurate question bank, and improvement of training efficiency.
2. Review of knowledge points: Integrate knowledge graphs and case libraries, visualize the knowledge system through mind maps, and strengthen understanding and memory.
3. AI PPT: One click generation of teaching materials, intelligent layout of graphics and text, and dynamic adaptation of logic and effects, reducing lesson preparation costs.
4. AI teaching assistant: NLP technology supports 24-hour intelligent Q&A, accurately analyzes course/training/methodology questions, and builds a teaching support loop.
3、 Talent cultivation: full process guarantee, shaping outstanding abilities
The Rhine AI intelligent computing platform has built a complete closed-loop system from industry demand analysis to talent training goal setting, from course implementation to teaching quality evaluation, and then to continuous improvement through the “AIGC Empowered Talent Training Whole Process” system, providing comprehensive guarantees for high-quality talent training.

1. Goal guarantee: Build a talent demand map through industry research linkage and dynamically adapt to the direction of industrial upgrading.
2. Process assurance: Build a scientific curriculum system, monitor the quality of the entire process to ensure a closed-loop teaching.
3. Management guarantee: The digital platform connects the entire process of “course arrangement teaching execution learning tracking”.
4. Resource guarantee: Enrich teaching resources with AI engines (Rhine Intelligent Computing/DeepSeek/Tongyi Qianwen) to drive teaching innovation.
4、 Professional Capability Graph Construction: AI Driven, Precise Positioning for Development
The “AI Building Talent Training Professional Ability Map” is a major feature of the Rhine AI Intelligent Computing Platform, which accurately plans talent training paths through scientific and rigorous processes.

1. Input: Comprehensive collection of multi-source data (training plan/destination analysis/industry recruitment), anchoring industry talent demand and development baselines.
2. Analysis: Deeply analyze job information and build a job capability map through AI human-machine collaboration.
3. Construction: AI creates a dual dimensional professional competence framework of “knowledge+skills” and intelligently constructs a scientific assessment system.
4. Argument: Expert joint review capability map, customized model of characteristic competitiveness for industry education integration colleges.
5. Output and application: Generate an ability scale and knowledge dual graph to achieve dynamic evaluation of the teaching process, supporting targeted improvement and teaching optimization for teachers and students.
5、 Teaching Interactive Platform: Innovative Mode to Enhance Learning Experience
The integration of AI assistants, knowledge graphs, and AI tools in the “AI enhanced teaching interaction new model” brings a new experience to teaching interaction, stimulating students’ learning initiative and participation.

1. AI teaching assistant: LLM (Large Language Model) technology drives the full chain collaboration of “Q&A – task flow – review”, supporting dual channel intelligent interaction between teachers and students.
2. Knowledge Graph: Build a multi-dimensional teaching resource network of audio, video, graphics, and text to achieve the three-dimensional correlation learning of “concept scene ability”.
3. AI teaching aids: covering all scenarios to assist teaching
  Course construction stage: Multiple tool calls to quickly build high-quality course content.
  Pre class stage: Efficient lesson preparation+intelligent preview, empowering teachers and students through both ends.
  In class stage: Personalized learning status diagnosis, dynamic adjustment of teaching strategies.
  After class stage: targeted filling by students and precise review by teachers, with dual support.
6、 Teaching management platform: full cycle empowerment to ensure teaching quality
The AI Academy’s full lifecycle management has achieved intelligent management of students’ entire lifecycle, providing comprehensive empowerment for schools, enterprises, students, institutions, and other parties.

1. AI process judgment module: A multimodal perception engine constructs attendance profiles and tracks class status in real-time.
2. AI Training Evaluation Module: Intelligent evaluation of training results, supporting the “AI initial judgment+manual calibration” human-machine collaboration paradigm.
3. AI log judgment module: Multi dimensional evaluation of training logs to generate learning profiles, driving teaching improvement and enhancement.  
4. Task page module: Automated scoring+progress dashboard to achieve full lifecycle tracking of work tasks.
5. Result visualization module: Integrate data generation ability radar chart and professional ability analysis report, and output a three-level decision package of “student teacher enterprise”.
7、 Technological Expansion: Rheinland AI Intelligent Computing Big Model Leading Industrial Application Innovation
Rheingold not only deeply applies AI technology in education and teaching, but also achieves multiple innovative applications in the industrial field through the Rheingold Intelligent Computing AI Large Model, providing students with opportunities to access cutting-edge technologies and enhancing their employment competitiveness.

（完整视频需在“莱茵科斯特”公众号查看）

1. Intelligent dynamic scheduling: The Rhine model drives multi factor dynamic optimization (orders/capacity/supply chain) to achieve shortened production cycles and cost intensification.
2. Predictive maintenance intelligent assistant: Real time monitoring and analysis of data, can only predict faults, repair in advance, and ensure continuous production cycles.
3. Visualized intelligent data charts: Visualized charts visually present industrial production data, assisting in quick decision-making.
4. Intelligent sorting system: Based on the Rhine AI intelligent computing model, it accurately and efficiently achieves intelligent sorting tasks in industrial production.

（完整视频需在“莱茵科斯特”公众号查看）

8、 Conclusion: Rhine AI Intelligent Computing Platform, Creating a New Future of Vocational Education Together
The Rhine AI intelligent computing platform, with technology as its wing and innovation as its soul, deeply integrates into every aspect of vocational education. From the meticulous construction of the curriculum system to the intelligent assistance of teaching assistants, from the full process guarantee of talent cultivation to the precise planning of professional ability maps, from the innovative mode of teaching interaction to the full cycle empowerment of teaching management, and to the expansion and application of the Rhine Intelligent Computing AI model in the industrial field, every aspect demonstrates a profound understanding of vocational education and a precise grasp of future talent needs.
Let’s join hands with the Rhine AI intelligent computing platform to cultivate high-quality technical and skilled talents that adapt to the development of the times, write a brilliant chapter in vocational education, embrace the challenges and opportunities of the intelligent manufacturing era, and create a new future for vocational education together!

In the 3-month German dual system course, students completed a leapfrog growth from theory to practical application, focusing on three major technologies: “Industrial Robot System Integration”, “Intelligent Production Line Debugging”, and “PLC Industrial Control”.

Rheingold trainers use “case practice+real-time feedback” as a daily teaching method, guiding students step by step to tackle the “hard bones”. By introducing real industrial projects from internationally renowned enterprises into teaching, students have overcome 12 typical industrial scenario challenges, including intelligent diagnosis of equipment faults and optimization of AGV dynamic scheduling algorithms. This intensive training of “daytime intelligent production line practice and nighttime trainer review” allows trainees to independently undertake project modules in their first month of employment, and multiple trainees have been admitted in advance due to outstanding technical performance.

We don’t teach on paper, we only cultivate craftsmen who can fight tough battles, “said Chen Peng, Deputy General Manager of Rheingold. AI+Sino German Rheinland Intelligent Craftsmanship Class is driven by the dual wheels of “German standards+Chinese industry”. The course iterates according to the needs of enterprises to ensure that students apply what they have learned. Through deep cooperation with leading companies in the field of intelligent manufacturing, Rheingold has always been at the forefront of technological innovation and industrial upgrading, transforming the “pain points” of factories into “test points” in the classroom, allowing every student’s technological growth to resonate with the pulse of the industry.

Graduation is not the end, but the starting point towards a new journey. “The Sino German Rhine Vocational Training School creates a continuous growth channel for students, providing lifelong skills improvement, technical support, career planning, and lifelong guidance to help you continue to climb the peak of your career. No matter how the storm changes, this will always be the accelerator for your career to soar!

The enrollment will start in June 2025,

Seize the opportunity of intelligent manufacturing!

Class opening time:

June 23rd

(Each class is limited to 30 students, and admission is based on merit!)

The visiting delegation had a deep understanding of the deep integration of Germany’s “dual system” and China’s “industry education integration” strategy at the Sino German Digital Economy and Intelligent Manufacturing Empowerment Center. They also observed the practical training of AI+Sino German Rhine Intelligent Craftsman Class students and the teaching classroom of Zibo Sino German Rhine Intelligent Technology School students.

In recent years, Rheingold has continued to deepen its “technology+education” dual wheel drive strategy, accelerating the construction of a two-way empowered global vocational education system. It has established long-term strategic partnerships with nearly 100 German universities, industry leaders, and research institutions, jointly promoting the implementation of multiple technology transfer, talent cultivation, public platform construction, and other projects, forming a Sino German ecological cooperation network covering “technology transformation standard co construction talent co education”.
In the future, Rheinland Coster will take this 2025 International Youth Exchange Conference as an opportunity, take the International Friendship Week as a link, give full play to the role of Sino German cooperation bridge, invite more German talents to China for internship and employment, attract more overseas technical talents to China for development, adhere to the strategy of “bringing in and going out”, create a transnational technical talent circulation system, accelerate the “dual system localization innovation” of Chinese vocational education, train more outstanding engineers who meet the needs of enterprises and adapt to the development of new quality productivity, and provide strong talent support for the high-quality development of local enterprises.

It is understood that the Shandong Province Technology Innovation Project focuses on the breakthrough of major core technologies, industrial common technologies, market-oriented new technologies, new products, and new processes that fill domestic gaps by enterprises. It plays an important role in stimulating the innovation awareness of enterprises, accelerating the transformation of technological innovation achievements, cultivating key technologies and products with independent intellectual property rights, enhancing the independent innovation capability of enterprises, and improving core competitiveness.

This system takes collaborative robots as the main working body, and is equipped with industrial welding power supplies, mobile welding trolleys, and a concise and easy-to-use operating system to achieve simplification, modularization, and standardization of welding. It is suitable for welding operations of various non-standard parts, as well as welding operations under a variety of different working conditions in shipbuilding, bridge construction, and construction-related industries, and welding operations of various professional or non-standard equipment and installations in heavy machinery and chemical enterprises. It is simple, practical, flexible, and efficient. The inclusion of this project in the provincial plan is not only a high recognition of Rheinkoester’s R&D strength and innovation capability, but also a new starting point to encourage the company to move towards higher goals.

On the morning of May 21, 2025, a four-member research delegation led by Liu Feifei, Deputy Director of the Service Trade Division of Shandong Provincial Department of Commerce, visited Rhein K?sterto investigate the development of service trade. The delegation gained in-depth understanding of the company’s latest achievements in intelligent manufacturing technology exports, international industry-education integration, and global cooperation initiatives.

The research delegation visited the Sino-German Intelligent Manufacturing Industry-Education Integration Demonstration Base, with focused discussions on Sino-German cooperation models,Overseas R&D center deployment strategies,The dual-driven service trade system integrating “industrial services + education”.The delegation highly commended Rhein K?ster’s achievements in Promoting intelligent manufacturing technology transfer,Advancing the internationalization of vocational education.

Next Steps,Rhein K?ster will seize the opportunities presented by Shandong’s high-level opening-up policy to Strengthen international partnerships with Germany and other global collaborators,Expand cross-border service cooperation in advanced equipment manufacturing and industrial internet sectors,Optimize the Sino-German two-way technology transfer mechanism,Build a more globally competitive service trade ecosystem,Globalize the integrated “Education + Technology + Industrial Services” model,Contribute to building the “China Services” international brand.

On May 20, 2025, a delegation of over 50 participants from Luoyang Secondary Vocational School’s “Dual-Qualified” Teacher Competency Enhancement Training Program visited Rhein K?ster for school-enterprise exchange activities.Organized by the Luoyang Education Bureau, hosted by the Luoyang Teacher Development Center, and co-organized by Shandong University of Technology, the event focused on upgrading “dual-qualified” teachers’ capabilities and innovative practices in industry-education integration. It aimed to foster in-depth dialogue between schools and enterprises, promote precise alignment between vocational education and industry needs, and inject new vitality into the high-quality development of vocational education in Luoyang.

The delegation visited the Sino-German Intelligent Manufacturing Industry-Education Integration Demonstration Base operated by Rhein K?ster, where they observed:The internship and practical training sessions for Dalian Polytechnic University’s Intelligent Manufacturing Engineering majors，The hands-on training classes of the “AI + Sino-German Rhein Smart Craftsman Class” students.

During the event, Zhang Yonghua, Channel Director of  Rhein K?ster,, delivered a keynote lecture titled “Sino-German Dual Vocational Elite Program: Localized Practice and Innovation”, with special emphasis on promoting the “Sino-German Dual Vocational Elite Program – Paid University Study Initiative”.

At the conclusion of the lecture, participating teachers and enterprise representatives engaged in lively discussions focusing on Curriculum design of the “Paid Study Program”,School-enterprise collaboration mechanisms.

On the morning of May 13, 2025, the 202503rd session of AI+Sino German Rhine Intelligent Craftsmanship Class officially opened at the Sino German Intelligent Manufacturing Industry Education Integration Demonstration Base.

At the opening ceremony, Chen Peng, Deputy General Manager of Rheingold, emphasized the mission of cultivating intelligent manufacturing talents with “craftsmanship, integration, and innovation” as the core.

Hu Pengchang, Executive Vice President of the Trainer College, approaches the education logic of the Craftsman Class from a dual perspective of teaching design and talent cultivation, with the core of “strengthening skills and abilities, and integrating knowledge with practice”.

Teacher Li Huanyu’s speech

Trainer representative Han Yangyang speaks

Previous student representatives share their experiences in skill improvement and career development

New student representatives express their expectations for systematic learning of technology and achieving career breakthroughs

With the successful completion of the opening ceremony, the students officially embarked on a new journey of skill improvement and career growth. In the next three months, they will systematically master the core technology of intelligent manufacturing through the deep integration of theoretical learning and production line practice. Through the disassembly and optimization of real cases, they will achieve a leap from single skills to global thinking.

On May 13, 2025, a research team from the Shandong Provincial Federation of Trade Unions, led by Liang Xiaoyan—a first-class staff member of the Provincial Petrochemical Trade Union and a member of the industrial reform task force of the Provincial Federation of Trade Unions—visited Rhein K?ster for a focused investigation on the role of the innovative industry-education integration studio. Leaders accompanying the research included Han Bing, member of the Party Leadership Group and Vice Chairman of the Zibo Municipal Federation of Trade Unions, and Kang Tao, Deputy Director of the Production Protection Department of the Municipal Federation of Trade Unions.

The research team conducted an on-site visit to the Sino-German Intelligent Manufacturing Industry-Education Integration Demonstration Base at Rhein K?ster. They observed the internship and practical training sessions for Dalian Polytechnic University’s Intelligent Manufacturing Engineering majors, as well as the hands-on training classes of the “AI + Sino-German Rhein K?ster Smart Craftsman Class” students. Additionally, they focused on understanding the establishment, operational effectiveness, and distinctive features of the Innovative Craftsman Talent Studio.

The Hu Pengchang Innovative Craftsman Talent Studio at the Zibo Sino-German Digital Intelligence Craftsman College is led by Hu Pengchang, a provincial-level technical expert, and brings together an elite team in the field of intelligent manufacturing. Driven by dual engines of technological innovation and industry-education integration, the studio focuses on solving core challenges in smart production lines.

The research group visited the Sino German Intelligent Manufacturing Industry Education Integration Demonstration Base operated by Rheingold, focusing on the company’s innovative practices in building new research and development institutions, tackling key technologies, and attracting high-end talents. They also observed the internship and training of the Intelligent Manufacturing Engineering major at Dalian University of Technology and the AI+Sino German Rheingold Intelligent Craftsman Class, experiencing the educational characteristics of “deep integration of theoretical teaching and production practice”.