AI Literacy Training
Built on an eight-module university-teacher curriculum, customizing scenarios, red lines and deliverables for teachers, medical and public-service staff; 60% shared foundation reused, each graduate leaves with a working deliverable.
Why Now
National policy now requires AI literacy as a new basic skill for teachers, medical staff and public servants.
Teachers: policy issued
The Ministry of Education sets AI-literacy requirements; training and assessment roll out across universities, K-12 and vocational schools.
Medical: window open
The regional 'AI + healthcare' plan (2026–2028) is advancing; hospitals need AI-savvy, compliant core staff.
Public service: efficiency & security
Cadre-training plans require new AI skills; document efficiency and data confidentiality become essentials.
Three Industry Solutions
One foundation, three packs, each customizing scenarios, red lines and deliverables.
Teacher Pack
AI across prep, classroom and assessment; graduates leave with a subject-teaching agent and course AI-use guidelines.
- University tier: full 8 modules (32h blended), subject-teaching agent
- K-12 tier: 2-day workshop, adds 'teaching students to use AI'
- Vocational tier: 2-day workshop, cases on practical teaching & anti-AI assessment
Medical Pack
The 'can and cannot' of AI-assisted care, records and research efficiency; rule: patient data never leaves the hospital.
- Cognition: boundaries of imaging/diagnosis/record QC, physician's final responsibility
- Applications: records, research, education, patient communication
- Ethics: privacy & compliance, optional department knowledge-base agent
- 2-day workshop, graduates write a department 'AI Use Code'
Public Service Pack
Document-writing efficiency and office automation; red line: classified info never enters public AI.
- Document drafts, material distillation, tables, report-PPT frameworks
- Meeting minutes and research material organization
- Ethics: confidentiality compliance, optional intranet policy-Q&A agent
- 1-day course, graduates design a personal office AI workflow
Eight-Module Curriculum
From cognition to practice, principles to ethics, tools to agent-building — covering the full AI-literacy chain.
| Module | Topic | Industry Adaptation |
|---|---|---|
| M1 | AI cognition & capability boundaries | Shared foundation |
| M2 | Tools & prompt engineering | Shared foundation |
| M3 | Industry applications | Rewritten: teaching/care/gov |
| M4 | Advanced use & workflows | Rewritten by industry |
| M5 | Tech principles (plain) | Shared foundation |
| M6 | Ethics & data security | Industry-specific: medical/classified |
| M7 | Agent building (hands-on) | Output: subject/department/policy agent |
| M8 | Showcase & summary | Industry deliverable showcase |
Online self-study (~2 wks)
Recorded courses + tests + live Q&A for cognition and methods.
Intensive workshop (2 days)
Industry practice, lead + assistants, deliverable produced on site.
Online wrap-up (1 wk)
Review, application plan, completion certificate.
Awareness Course
Half day · full staffCognition + ethics essentials, large-class lecture + interaction.
Hands-on Workshop
1–2 days · small classIndustry modules + practice, each produces a usable deliverable.
Blended Advanced
2 wks online + 2 days onsiteOnline foundation + onsite output, for seed trainers.
Xinjiang Pilot, Replicable Elsewhere
Clear policy window and mature channels: cadre-training plans, data regulations and the medical-AI plan all require workforce-wide AI literacy.
| Area | Policy Signal |
|---|---|
| Cadre training | Cadre Education Plan (2023–2027) requires AI and new-skill training |
| Data & digital literacy | Xinjiang Data Regulation requires raising digital literacy; annual 'Digital Literacy Month' |
| Medical | Four-department 'AI + healthcare' plan (2026–2028); family-doctor AI assistant to cover 60% of teams by 2030 |
| Education | National/regional training plans select providers; K-12 AI general-education pilot training landed |
| Talent assessment | National digital-technology engineer program landed; certificates link to its assessment system |
Xinjiang-aid / support
Via Tianjin's counterpart mechanism, 'intellectual aid' connects recipient-area education and health departments with our faculty and courses.
Training-grant application
Join national/regional training plans as an approved provider, or health-bureau special classes.
Local joint operation
Co-build with local universities, hospitals and party schools; we provide courses and faculty certification.
Demo classes (1–2 mo)
Run 1–2 demo classes, refine courses with real feedback.
Stable channel (3–6 mo)
Enter one channel, form a steady cadence of 1–2 per month.
Expansion (6–12 mo)
Expand to the 2nd/3rd packs, sign long-term agreements.
Operations: localized faculty, templated courseware, localized certificates (linked to local continuing-education hours/credits).
Qualification & Certification
Graduation links to local continuing-education credits and hours, leaving tangible value.
Teacher Pack
Links to national/regional training-hour proofs and teacher CE credits.
Medical Pack
Links to hospital CME credits (Type I/II), endorsed by health-bureau classes.
Public Pack
Links to cadre-training hour records and digital-development bureau records.
General Linkage
Explores linkage with the national digital-technology engineer program ('train–assess–certify').
Quality: each pack is reviewed by an industry expert; all practice cases are anonymized with fictional data for compliance.