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AAAI China GBA Chapter
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Courses

Study the Certificate in Generative AI for Business Productivity independently and earn a course completion certificate. The course also fulfils the membership learning requirement. Companies, schools and institutions can build tailored AI capability programmes on this curriculum.

Certificate course

Course name
Certificate in Generative AI for Business Productivity
Scale
14 lessons across 5 stages; 98 learning hours
Each lesson
7 learning hours per taught lesson: 2 hours of teaching, 2 of guided practice, 2 of self-study and a 1-hour assessment
Who it is for
Professionals with 3 to 5 years of industry experience and no coding background; focused on low-code tools
How to study
Public lesson notes support free self-study. Taught classes are offered through organisational programmes
For membership
Complete 7 required lessons (about 49 learning hours), pass the online assessment and submit a project
Read the lesson notesMembership requirements

Course outline

The 7 lessons marked "Required" are mandatory for membership.

LessonCourseFor membership
Stage 1: Literacy and principles
Lesson 1Introduction to AI and Generative AIUnderstand AI developments and the enterprise application landscape.Required
Lesson 2LLM Principles and Core TermsUnderstand how large models work and their limitations.Required
Stage 2: Core skills
Lesson 3Prompt Engineering PracticeLearn prompt design methods for consistent, high-quality outputs.Required
Lesson 4AI Tools and Low-Code PlatformsPractise with chat, image and video tools, including Dify and Coze.
Lesson 5AI for Office ProductivityUse AI to improve documents, spreadsheets, emails, and meeting notes.
Lesson 6Multimodal Content CreationCreate and combine images, video, audio and presentations.
Stage 3: Advanced development
Lesson 7AI Knowledge Bases and RAGBuild a knowledge base that answers questions with traceable sources.Required
Lesson 8AI Agent FundamentalsUnderstand AI agent components and build a task-focused agent.Required
Lesson 9Advanced AI Agent DesignDesign multi-tool, multi-agent collaboration and automation.
Stage 4: Quality and adoption
Lesson 10AI Output Evaluation and Quality ControlIdentify hallucinations, fact-check outputs, and validate results.Required
Lesson 11AI Application DeliveryUse low-code tools to deliver an end-to-end business application.
Lesson 12Data Privacy, Security, and ComplianceIdentify data risks and apply organisational security and compliance practices.Required
Stage 5: Industry applications and project
Lesson 13Industry AI Application WorkshopAnalyse industry cases and apply lessons to new use cases.
Lesson 14Capstone Project and ShowcaseDeliver and present a complete AI application or plan using the course skills.

Assessment and certification

Online assessment

Up to 40 questions; pass mark 80; two retakes.

Project assignment

Submit a skill, architecture proposal or basic web application.

Taking the assessment

After initial screening, membership applicants take the assessment and submit their project in the member centre. Study may begin alongside the application. Certificate-only learners can request assessment at ken@aaaec.org; organisational learners follow their programme's arrangements.

Course completion certificate

Successful learners receive a numbered chapter-issued course completion certificate. It confirms completion of the specified lessons, practical tasks and assessment. It is not a professional licence, occupational qualification or third-party employment endorsement.

View a sample certificate

AI programmes for organisations

Tailored courses, workshops and implementation support for businesses, schools and institutions, built on the certificate curriculum and adapted to your industry, audience and goals.

The project team will email you within 3 working days to arrange a 30-minute consultation on your needs and programme. Fees are quoted with the proposal.

Programme principles

Who it serves

AI literacy, responsible use and practical adoption for businesses, schools, industry associations and public institutions.

Formats

Public classes, co-designed institutional sessions, cost-sharing workshops and project-based guidance build shared understanding and practical skills.

Use of resources

Resources support curriculum development, speaker coordination, materials, venues, operations and certificate administration.

Governance

The chapter manages delivery. Any surplus supports public education, community activities and shared knowledge.

Learning records

Certificates record completed lessons, practical tasks and assessments, supporting institutional learning records and continued development.

Build a programme

Select an industry, audience and goal to explore a tailored plan.

General organisation: AI capability programme

Deliverables

  • Course completion certificate
  • AI opportunity list
  • AI use-case sketch for your role
  • AI capability boundary checklist
  • Role prompt templates
  • Prompt quality checklist

Core capabilities

Core content covers lessons 1 to 12 of the certificate course. See the course outline.

Common use cases

Internal Knowledge Search

Enable natural-language search across policies, SOPs, product information and project knowledge.

Report and Proposal Generation

Create reports, proposals, project reviews and client communications.

SOP Automation

Convert repetitive tasks into verifiable, traceable and automated workflows.

Finance and Admin Workflow Support

Support expenses, procurement, contract routing and internal notices.

Customer Service Knowledge Assistant

Produce customer-support answers from product information, service policies and FAQs.

General organisation: industry modules

Industry-specific courses

Organisation AI Application Workshop

Half day

Identify practical AI uses in cross-functional processes, knowledge resources, productivity and role-specific tasks.

AI Opportunities in Organisational Processes

Half day

Prioritise AI use cases by mapping frequent, time-intensive and high-risk cross-departmental processes.

Cross-functional Agent Workflow Design

Half day

Design controlled, multi-step AI agents for approvals, support, operations and internal services.

Organisational Knowledge Base Governance and Q&A

Half day

Create a maintainable organisational knowledge base from policies, processes, product information and project experience.

Organisational AI Policy and Adoption

2h

Define tool-use limits, approvals, internal champion roles and continuous learning processes.

Organisation AI Application Capstone

Project-based

Apply core AI capabilities to organisation use cases and present a plan, SOP or prototype.

Industry use cases

Department AI Assistant

Build a controlled internal assistant using departmental materials, SOPs and FAQs.

Policy Q&A and Employee Self-service

Help staff find HR, administration, finance and IT policies.

Scenario Adoption Support Plan

Format
1-3 day scenario workshop + 2-week guided practice
Schedule
Built around 2-3 real business workflows
Outcome
Deliver scenario maps, process SOPs, AI prototypes, and evaluation criteria

Delivery process

  1. 01
    Use-case discovery and prioritisation

    Select real business workflows and assess value, difficulty, and risk.

    Output
    Scenario opportunity list
  2. 02
    Process mapping and SOP design

    Define inputs, outputs, owners, review points, and exception handling.

    Output
    Process SOP
  3. 03
    Prototype building and human review

    Build a demonstrable prototype with prompts, knowledge bases or AI agents.

    Output
    AI application prototype
  4. 04
    Pilot guidance and evaluation

    Guide teams through real-task pilots and record issues and improvements.

    Output
    Pilot evaluation record
  5. 05
    Project review and wider adoption

    Capture reusable materials for broader team adoption.

    Output
    Retrospective materials and adoption recommendations