ENTERPRISE AI TRAINING

Turn AI training into
verifiable on-the-job results.

Non-degree AI training for enterprises and institutions: from job-task discovery and hands-on instruction to outcome acceptance — helping companies across Sichuan and Western China put AI to work where it pays.

2021
Founded · Chengdu & Ottawa
80+
Corporate sessions in 3 years
Tens of thousands
Learners trained
3
Benchmark industry cases

01 / WHO WE SERVE

Who this is for

Built for organisations that already use AI tools but struggle to turn them into verified job outcomes — and for training partners who need hands-on delivery capability.

PRIORITY 01

Energy & utilities

Central-SOE units and provincial/municipal energy and utility companies in Sichuan

Staff can use the tools, but not on real job tasks

First contact: HR/training · corporate university · digitalisation

PRIORITY 02

Telecom · manufacturing · engineering

Telecom, manufacturing and construction companies with existing relationships

Repetitive departmental tasks, scattered knowledge, weak applied skills

First contact: HR · IT · business owners

PRIORITY 03

Training partners

Group training companies, associations, industrial parks, university continuing-education units

Enterprise clients in hand, but need courses and hands-on delivery

First contact: training lead · programme manager

ALSO

Open job-role classes

Companies sending small teams who prefer pooled cohorts

Running an in-house class alone is costly; peer exchange missing

First contact: HR · department heads

Based in Chengdu, serving Western China
Headquartered in Chengdu (Jinniu District); training delivered on-site or as pooled classes in Chengdu
80+ corporate sessions in three years, covering central-SOE units, provincial and municipal SOEs and local private companies
Deeply familiar with the energy, SOE-governance and industry-education ecosystem of Western China

02 / STANDARD PRODUCTS

Three products by depth of development

Buyers usually start from one problem. Three standard products cover the path from quick wins to deep capability to team innovation — with course content configured by job-role pack.

P1

2-Day Job-Role AI Bootcamp

Quick start
Size~30 per class
Duration2 days

Pre-class survey + 2 days hands-on + 1 follow-up Q&A

Acceptable outcomes
  • 3 job tasks completed per participant
  • Reusable task templates
  • Pre/post test records and improvement notes
¥29,800/ class · pre-tax trial price
View standard plan
P2

8-Week AI Capability Programme

Deep development
Size~30 per cohort
Duration8 weeks

2-day kick-off + 4 half-day online coaching + 4 assignment rounds + 1-day closing

Acceptable outcomes
  • Job portfolio per participant
  • Documented departmental workflows
  • Competency assessment & organisational recommendations
¥98,000/ programme · pre-tax trial price
View standard plan
P3

6-Week Agent Contest Programme

Team innovation
SizeUp to 6 teams
Duration6 weeks

Scenario call + 4 offline teaching & review days + 6 online Q&A sessions

Acceptable outcomes
  • Up to 6 teaching agent prototypes
  • Scenario specs and test records
  • Review report and incubation advice
¥128,000/ programme · pre-tax trial price
View standard plan
Course content organised in three job-role packs
Office productivityDocuments · meeting minutes · material sorting · spreadsheet analysis
Knowledge & processKnowledge retrieval · policy Q&A · task breakdown · agent prototypes
Content creationTopic selection · copy · images · short video · content review

Prices above are pre-tax service-revenue trial prices and assume the client provides the venue in Chengdu. Formal quotes itemise software accounts, out-of-town travel and extra customisation. The agent contest delivers teaching prototypes; production roll-out and system integration are quoted separately.

03 / COURSE MENU

Ten course families, configured by role and goal

In-house training is configured from job-role packs; open classes are picked from the menu — one course asset base, two ways in. Every course mixes theory with hands-on practice and ends with learner output.

01

AI Official Writing

Standards and speed for documents, meetings and admin routines

  • Writing principles and formatting
  • Notices, reports and speeches
  • Full document-meeting-admin workflow
Instructors
Liu YingKang Jianwei
02

AI Office Digitalisation

Human-AI collaboration for administrative roles

  • Policies and contract first drafts
  • Meeting prep and minutes
  • Event planning and budgeting
Instructors
Li SiyuKang Jianwei
03

AI New-Media Marketing

Agile brand content from copy to video

  • Copywriting and brand tone
  • AI video and short-drama storytelling
  • Matrix operations and data insight
Instructors
Li SiyuZhu Qin
04

Agent Hands-on

Six chapters from first concepts to a capstone project

  • Prompt design and knowledge bases
  • Workflow automation and scenarios
  • Capstone: a complete agent application
Instructors
Chen XiaodanHe Zhiqiang
05

AI Product Manager

Turn requirements into products with COZE / Dify

  • COZE & Dify orchestration
  • Prompt engineering and context
  • RAG knowledge bases and agent architecture
Instructors
Chen XiaodanHe Zhiqiang
06

AI Legal & Compliance

Smarter legal risk control with clear red lines

  • Smart contract review and drafting
  • Regulatory tracking and compliance insight
  • Productising legal services
Instructors
Kang Jianwei
07

AI Coding Hands-on

From zero basics to your first launched product

  • Cursor / Trae coding tools
  • Figma replication and MVP build
  • Domain binding and deployment
Instructors
Chen XiaodanHe Zhiqiang
08

AI for Teachers

23 modules across the whole teaching workflow

  • Lesson prep, classroom and learning analytics
  • Test design, assignments and assessment
  • Class management, research and compliance
Instructors
Liu YingKang Jianwei
09

Interactive Teaching

Classroom facilitation and presentation skills

  • Classroom design and openings
  • Body language and interaction
  • Interaction techniques in practice
Instructors
Zhang SongKang Jianwei
10

Industry-specific Courses

Developed to order for each sector

  • Banking office work and market development
  • Power-industry AI contest training
  • 28-day monetisation bootcamp
Instructors
Configured by industry

The menu keeps growing: in-house training can recombine any courses by role, with assignments, coaching and acceptance design included.

04 / CASES

Three proven industry cases

From a telecom talent pipeline, to a two-month energy-sector capability programme, to a state-enterprise agent contest — one methodology, three settings.

01
China Mobile

AIGC Engineer Development

Telecom · Talent pipeline

Need

A structured AIGC engineer talent pipeline: clear role directions, tiered curriculum and workable assessment — not scattered tool lessons.

Process
  • Delivered an AIGC application engineer market-trend report defining role directions and competency requirements
  • Built the "AIGC Application Engineer — Elementary Curriculum V2" with tiered courses and assessment
  • Theory plus practice: real projects such as a Shu-embroidered IP cultural-product design run through the course
  • Complete course package: slide decks, handouts and official promotional materials
Results
  • Tiered curriculum and development pathway
  • Assessment approach and learner works
  • A replicable method for building enterprise AI talent pipelines
Download case card
02
Huadian Sichuan

Two-Month AI Capability Programme

Energy · Job-role uplift

Need

Digital transformation in power generation: staff needed prompt engineering and data analysis applied to real operating scenarios, aligned with the group AI (power industry) skills contest.

Process
  • 11 live online sessions from June, followed by a 5-day offline intensive in Chengdu (27–31 July)
  • Courses built around power scenarios: R-T-C-O prompt framework, data-analysis practice, DNN/RNN/LSTM fundamentals
  • Reference system of 6 regulations (incl. Data Security Law) plus "Machine Learning", "Dive into Deep Learning" and "Build a Large Model from Scratch"
  • Attendance, assignments and exam scores tracked throughout, building a full training record
Results
  • Systematic training from prompting to model fundamentals
  • Attendance / assignments / scores fully visible and traceable
  • Contestants prepared for the group skills competition
Download case card
03
State enterprise

Learn-by-Competing Agent Contest

SOE · Agent contest

Need

Aligned with the group’s third innovation contest: use competition to turn real business scenarios from every department into reviewable, incubatable agent works.

Process
  • The group issued the "AI Innovation & Effectiveness Camp" workshop programme with official stamped notice
  • A needs survey of trainees came first, driving the customised curriculum and programme rules
  • Three parallel classes over four teaching days (16 & 30 Oct, 13 & 26 Nov) at the conference centre
  • Online Q&A throughout, with the closing roadshow aligned to the group contest format and scoring
Results
  • Learner works entered straight into the group innovation contest
  • Delivered programme, curriculum, schedule and acceptance documents
  • A replicable "learn-by-competing" model for SOE training
Download case card

Case names, logos and client quotes are used with client permission; full case cards, desensitised works and scoring criteria are available under NDA.

05 / SAMPLE OUTCOMES

What learners actually produce

Both samples are desensitised. Efficiency figures come from real job-task measurement and are indicative only — not a uniform promise.

Sample 01
Office pack · Data analyst

Monthly data clean-up & analysis report

Task

Turn exports from three business systems into a monthly business analysis report.

Materials

Six raw export tables and one metric-definition note.

What the learner did
  1. Clean and merge the tables with AI, aligning definitions
  2. Generate charts and a first draft from a template
  3. Verify key figures manually and add business interpretation
Output
  • One structured data table
  • Monthly analysis report with charts
  • A reusable report prompt template

Verification: key figures checked item-by-item against source tables; report confirmed by the department head before use.

View full sample
Sample 02
Knowledge & process pack · Administration

Policy Q&A agent prototype

Task

Let new staff query company policies in natural language with sourced answers.

Materials

42 HR, finance and expense policy documents (desensitised).

What the learner did
  1. Built a knowledge base, chunked by policy section
  2. Configured a Q&A agent that must cite sources
  3. Tested with 100 real questions and iterated
Output
  • One policy Q&A agent prototype
  • Scenario spec and knowledge-base structure
  • 100-question test record and fix list

Verification: spot-checked citation accuracy and refusal boundaries; key questions reviewed manually.

View full sample

Numbers and materials in the samples are desensitised; live delivery re-measures against your own tasks.

06 / INSTRUCTOR ROLES

A full delivery chain, not one lecturer

Instructors and assistants are assigned across design, instruction, coaching and review — each role backed by credentials and delivery records.

Programme designTraining-path design, curriculum systems, job-task selection
Kang Jianwei · AID certified instructional designer; 10 years at Fortune 500sLi Siyu · MIIT-certified AIGC instructor; course development and learning-event design
Lead instructionLead instructor for the 2-day bootcamp and kick-off
Mr. Liao · 22 years of industry practice, 80+ corporate sessions in 3 yearsLiu Ying · PhD, researcher, visiting professor at Sichuan UniversityProf. Yi · professor of computer science, dean at Chengdu University
Hands-on coachingIn-class practice, 4 assignment rounds, online Q&A
Mr. Wang · AIGC agent-development engineerChen Xiaodan · MS in Data Science, George Washington University; AI product managerLi Siyu · 10+ years of enterprise training
Agent developmentTechnical guidance on knowledge bases and agent prototypes
Mr. Guo · UESTC faculty, NLP and large language modelsMr. Wang · MIIT-certified AIGC instructor
Content creationAIGC coaching for the content pack
Zhu Qin · certified college teacher; AIGC audiovisual creationMs. Huang · AI film director, best AI short at China-Europe Youth Film Festival
Contest reviewScenario review, closing roadshow scoring, incubation advice
Liu Ying · expert committee, Sichuan AI Industry AssociationProf. Yi · professor of computer science, award-winning teacherMr. Guo · joint PhD, University of Cambridge
Programme operationsProject management, client liaison, ecosystem resources
He Zhiqiang · co-founder; AI mentor at Chengdu No.7 High SchoolZhang Song · associate professor; World Bank CPDF-certified trainerMs. Du · industry-education integration and entrepreneurship coaching
View full instructor profiles

07 / DELIVERY & ACCEPTANCE

How it runs, and what "done" means

The 8-week programme sets the reference rhythm; bootcamps and contests compress the same logic. Every stage has a defined output and sign-off.

01

Job-task diagnosis

Interview key roles, pick 3—5 typical tasks, set the capability baseline.

02

Solution configuration

Customise courses, assignments and acceptance tasks by job-role pack; confirm the deliverable list.

03

Intensive instruction

2-day kick-off / bootcamp: methods in the morning, practice on real tasks in the afternoon.

04

Assignment coaching

4 assignment rounds with per-piece feedback, plus 4 online Q&A sessions.

05

Outcome review

Closing roadshow or contest review, scored by experts against set criteria.

06

Acceptance & follow-up

Pre/post comparison for acceptance; competency assessment and organisational recommendations.

Acceptance looks at four dimensions

Time to first draftChange in time from task start to first draft
AccuracyError rate on key information, figures and citations
UsabilityWhether the output enters the workflow and is adopted by colleagues
Human edit volumeHow much manual editing turns the draft into usable work

Acceptance tasks are confirmed with the client; we report actual measured results and do not promise uniform efficiency gains in advance.

BOOK A DIAGNOSIS

Diagnose first, then propose

Tell us the job tasks most worth improving. We can demo around a desensitised scenario, map where training should start, and advise on delivery and outcome measurement. The first conversation is free and commits neither side.

Address

5F, Jinniu Huantou Building, 279 Jinfu Road
Jinniu District, Chengdu, China

Company

Sichuan Ever New Technology Group Co., Ltd.

Focus

AI R&D · Applications · Education
Non-degree enterprise training