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Certified China AI Regulatory Professional (CCARP)

China ships more binding AI rules than anyone, and every company that touches the Chinese market must comply with them. Master the complete stack, from algorithm filings and generative AI rules to content labeling, data security, and ethics review, and practice the real work: filings, compliance audits, and incident response, all taught from the current law.

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0 of 85 topics completed43h total

This program opens in 2026. We can tell you the day it does.

Full curriculum

Every module and topic in Certified China AI Regulatory Professional (CCARP). The first topics are open free with no account; the rest unlock with access.

Module 0: Onboarding: China Regulates AI First

  • 0.1 Why China's AI Rules Reach You
  • 0.2 Quick Win: Determine a Real Filing Obligation
  • 0.3 The Seven Layers of Chinese AI Regulation: Your Map to the Source Material

Module 1: China's AI Regulatory Architecture

  • 1.1 China's Legal Hierarchy for AI
  • 1.2 The Core Triad: CSL, PIPL, DSL
  • 1.3 Regulators and Jurisdictions
  • 1.4 The AI Regulatory Stack
  • 1.5 National Standards: TC260 and the GB System
  • 1.6 Local Rules and Pilot Zones
  • 1.7 The AI Law Signal and the Legislative Roadmap
  • 1.8 Regulatory Mapping Exercise

Module 2: Algorithm Filing and Registration

  • 2.1 Filing Threshold Analysis
  • 2.2 The CAC Algorithm Registry
  • 2.3 Filing Documentation Requirements
  • 2.4 Security Self-Assessment Methodology
  • 2.5 Filing Timelines and Amendments
  • 2.6 Filing Recommendation Algorithms
  • 2.7 Filing Deep Synthesis Services
  • 2.8 Lab: Mock Algorithm Filing

Module 3: Generative AI Compliance

  • 3.1 GenAI Interim Measures, Article by Article
  • 3.2 Service Provider Obligations
  • 3.3 Security Assessment Requirements
  • 3.4 Training Data Compliance
  • 3.5 Content Moderation Frameworks
  • 3.6 User Rights and Transparency
  • 3.7 Internal Use vs Regulated Service
  • 3.8 Cross-Border GenAI Services
  • 3.9 Training Data Security Standards
  • 3.10 Lab: GenAI Compliance Audit

Module 4: AI Content Labeling

  • 4.1 The Labeling Measures Framework
  • 4.2 Explicit Labels
  • 4.3 Implicit Labels: Metadata and Watermarks
  • 4.4 Platform-Specific Implementation
  • 4.5 The Content Distribution Chain
  • 4.6 Technical Implementation of Labeling
  • 4.7 Mixed Human and AI Content
  • 4.8 Labeling Compliance Audits

Module 5: Data Security for AI

  • 5.1 Data Classification for AI
  • 5.2 Training Data Acquisition
  • 5.3 Cross-Border Transfer Mechanisms
  • 5.4 Data Localization
  • 5.5 Privacy Impact Assessments for AI
  • 5.6 AI Data Security Standards
  • 5.7 Managing AI Vendors and Processors
  • 5.8 Data Breach Response for AI

Module 6: Ethics Review

  • 6.1 China's AI Ethics Landscape
  • 6.2 The 2026 AI Ethics Review Measures
  • 6.3 Building an Ethics Committee
  • 6.4 High-Risk AI Classification
  • 6.5 Ethics Review Procedures
  • 6.6 Sensitive Areas and Special Scrutiny
  • 6.7 Bias Assessment and Mitigation
  • 6.8 Lab: Ethics Review Simulation

Module 7: Sector Rules: Finance to Autonomous Vehicles

  • 7.1 AI in Financial Services
  • 7.2 AI in Healthcare and Life Sciences
  • 7.3 Autonomous Vehicles and Transportation
  • 7.4 AI in Education Technology
  • 7.5 Industrial and Manufacturing AI
  • 7.6 AI in Media and Entertainment
  • 7.7 AI in E-Commerce and Retail
  • 7.8 Cross-Sector Integration Exercise

Module 8: Enforcement and Incident Response

  • 8.1 Enforcement Authorities and Powers
  • 8.2 The Penalty Framework
  • 8.3 Enforcement Patterns, 2024 to 2026
  • 8.4 Cybersecurity Incident Reporting
  • 8.5 GenAI Security Incident Response
  • 8.6 Managing the Regulator Relationship
  • 8.7 Crisis Communication
  • 8.8 Lab: Incident Response Drill

Module 9: China, EU, US: The Comparative Playbook

  • 9.1 China vs the EU AI Act: Mapping the GenAI Measures Against Europe's GPAI Regime
  • 9.2 The US Federal and State Landscape
  • 9.3 Three Regulatory Paradigms
  • 9.4 Overlapping Obligations
  • 9.5 Conflicting Requirements
  • 9.6 Global AI Governance Initiatives
  • 9.7 Multinational Compliance Architecture
  • 9.8 The Board Briefing

Module 10: Capstone: Build a China Compliance Program

  • 10.1 Capstone Overview and Your Target Organization
  • 10.2 Choosing Your Market Position
  • 10.3 Regulatory Gap Analysis
  • 10.4 Mock Filing Package
  • 10.5 Implementation Roadmap
  • 10.6 Governance Framework Design
  • 10.7 The Executive Presentation
  • 10.8 Defending Your Compliance Program