Institutions can offer standardized AI literacy courses across the whole campus without building their own content or teams—teaching, learning, and assessment are all covered in one package.
- Ready to use across all major disciplines
- Courseware, lesson plans, and question banks all included
Story-driven teaching overcomes the dry, abstract nature of AI courses, shifting students from passive listening to active learning and significantly boosting classroom engagement.
- Abstract concepts brought to life through stories
- Teachers can tailor lessons to student learning needs
Solves the dilemma of "courses without faculty" by helping teachers with no background grow systematically—from learning to use AI to teaching AI courses well.
- Blended online and offline progression
- Certifiable outcomes that compound over time
AI Fundamentals Education Solution
One platform, one curriculum, and case studies across disciplines—building AI fundamentals literacy for the entire campus
When offering AI fundamentals courses to non-computer majors campus-wide, common challenges include humanities students struggling with the material, science students lacking depth, and significant variation in the discipline-specific cases different departments require. This module supports unified, campus-wide AI fundamentals courses, organizing content by arts and science tracks, matching discipline-specific cases for majors such as business, medicine, art, and engineering, and enabling a single fundamentals course to run synchronously across many departments at scale.
A complete course product covering a standard 48-hour curriculum, including theory courseware, lab projects, and case libraries for business, humanities, science and engineering, medicine, and agriculture. Teachers can use the standard version directly or flexibly swap case modules to suit departmental needs.
A collaborative resource management platform for provincial course alliances and multi-campus institution groups. It supports unified course syllabi and credit frameworks, allowing member institutions to share and use course resources and configure teaching content by arts and science tracks.
A teaching platform that runs the full AI fundamentals course lifecycle—teaching, learning, practice, and assessment. It integrates course management, online labs, AI tool access, and learning analytics, and supports public, private, and hybrid cloud deployment to meet the security requirement of keeping data on campus.
AI Training Platforms & Labs
From general-purpose training platforms to dedicated research systems—building the technical foundation for hands-on AI at institutions
When AI programs run hands-on teaching, capstone projects, and research training, they are often limited by insufficient computing power, difficult development environments, and scarce industry datasets. This module supports hands-on training scenarios for AI teaching, research, and competitions, providing unified GPU computing, large model development environments, and real industry datasets, allowing multiple majors and courses to share one training platform for the stable delivery of classroom teaching, lab practice, and competition preparation.
Builds a campus-wide AI training environment with a "one platform + N cases" model, integrating GPU computing, large models, and agent development toolchains, covering multi-major access and cross-disciplinary case resources to support "AI + major" interdisciplinary talent development.
Builds a differentiated training platform around each institution's strengths, structured around "one platform + multi-major access + cross-industry case scenarios," deeply integrating sectors such as safety and emergency response and light manufacturing to build professional competitiveness.
Builds a "one lab, multiple zones" cloud computing training environment on mainstream cloud platforms, connecting "job, course, competition, and certification," aligning with certification systems such as Huawei and China Telecom Cloud, and serving as a shared technical foundation for AI sub-bases.
Provides deep custom development for research and teaching scenarios, covering AI behavioral experiment platforms, teaching Q&A agents, and vertical large models, with strict process control and integration of discipline-specific knowledge.
Major + AI Course Resources
Deeply integrating AI into every major, helping existing programs upgrade intelligently at low cost
When institutions advance "AI + major" development, existing programs often cannot quickly change program codes, restructure training plans, or add faculty at scale. This module supports upgrading existing programs to incorporate AI capabilities, embedding AI teaching modules and supporting resources into the current curriculum. Through course redesign and resource provision alone, programs such as mechanical engineering, accounting, nursing, and media can quickly gain AI teaching capability while preserving their original training framework.
Provides customized AI upgrade packages for existing programs, embedding AI capability into professional teaching by adding core courses and upgrading existing labs, backed by teaching videos, lab manuals, and training platforms for short rollout cycles and low implementation barriers.
Builds AIGC content creation capability modules for majors such as online and new media and art design, delivering AI micro-drama/short-drama production systems, AIGC short-video courses, and supporting lab environments to develop the practical skills to produce professional-grade work.
A systematic professional course resource library covering teaching videos, lab manuals, question banks, and companion textbooks, staffed by dedicated course owners and production teams, with mature deliveries such as cloud computing and Linux core courses.
Based on program clusters and industry job requirements, this tool helps institutions diagnose and optimize AI-related talent development programs, benchmarking against industry competency models and aligning curricula precisely with job needs.
AI Literacy Training for Faculty
Aligned with national policy directions, building systematic AI capability for teachers and administrative staff
As teachers adopt AI to support teaching and administrators use AI to improve office efficiency, common gaps include weak foundational skills, inconsistent quality of AI-generated output, and insufficient connection to disciplines and job roles. This module supports AI upskilling for teachers and administrative staff, using progressive, modular, scenario-based training paths with hands-on platform environments that embed AI capability into real work such as lesson preparation, teaching research, and daily office tasks.
Provides academic-year, tiered, role-based training for all faculty, covering job duties, teaching and research, and everyday scenarios, with one-account-per-user practice platforms for intensive training, aligned with the Ministry of Education's "digital empowerment for teachers" requirements.
Provides progressive AI office training for institutional administrative departments, using a "general + scenario-based" dual-track curriculum, building reusable administrative AI knowledge bases and prompt asset libraries to establish a paradigm for digital transformation in administration.
Provides intensive training for teachers at vocational institutions and AI schools, targeting weak foundations, inconsistent tool output, and weak discipline integration, with a focus on rapidly improving practical tool skills and disciplinary integration.
Industry-Education Integration & Industry Colleges
Integrating platforms, courses, certifications, and industry projects to build a sustainable talent ecosystem
When institutions build industry colleges, apply for modern industry college status, or seek special funding, they often struggle to integrate industry projects into classrooms, connect the "job, course, competition, and certification" chain, and prepare application materials with professional substance. This module supports industry-education integration and project application scenarios, using real industry projects to connect the "job, course, competition, and certification" talent chain, and provides standardized funding and project application materials to help institutions build industry colleges and secure policy and financial support.
Orchestrates platforms, courses, faculty, certifications, and industry training projects to build industry colleges uniting "job, course, competition, and certification," designing training projects around real regional economic scenarios to form a closed loop for industry-education talent development.
Provides complete lab construction and program cluster planning for school-enterprise co-building, covering technical solutions, tender specifications, course support, and training services, enabling integrated rollout for program clusters such as digital commerce and digital intelligence technology.
Provides systematic application support tools for institutional funding applications, covering solution design, construction descriptions, performance targets, cost estimates, and industry cases, helping institutions produce standardized application documents that clearly present construction value.
AI International Education
Serving vocational education going global and international programs, exporting China's AI education solutions
In vocational education going global, cross-border programs, and serving the talent needs of overseas Chinese enterprises, institutions generally lack multilingual platforms, courses that fit local industry needs, and replicable program models. This module supports overseas programs and international talent development, providing multilingual teaching platforms and internationalized courses, partnering with expanding enterprises to co-build talent development systems, and supporting overseas AI bootcamps, cross-border collaborative education, and vocational education going global with industry.
Built on a mature teaching SaaS system, this platform offers multilingual international customization supporting Chinese, English, and local languages, with cloud resource publishing, video teaching, live streaming, and learning behavior analytics, and can be white-labeled.
Provides overseas institutions with an all-in-one AI bootcamp solution, including a hands-on platform with cloud computing and lab environments and course clusters on cutting-edge topics such as LLM & RAG, closely aligned with international industry trends and local education needs.
Supports international capacity cooperation, partnering with Chinese enterprises going global and institutions to build talent development systems tailored to overseas hiring needs, advancing vocational education going global with industry through models such as the "Luban Craftsman Program."
EDU360 Cloud is the complete platform institutions use to deliver AI courses, run hands-on labs, and certify real skills — proven with 500+ institutions in China and MBZUAI in the UAE.