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The AI + Digital China Expedition Course gives business, strategy, and technology professionals a unique, immersive understanding of China's AI and digital transformation ecosystem covering national AI strategy, platform economies, smart manufacturing, industrial AI, smart cities, data governance, and the strategic leadership capability to apply China's most relevant digital innovations within their own organisational context.
China's digital economy represents one of the world's most advanced and rapidly scaled AI ecosystems with lessons in platform dominance, super-app architecture, industrial AI integration, smart city management, and AI-driven decision intelligence that are directly relevant to leaders and organisations anywhere in the world. Understanding how China has achieved the speed, scale, and execution that defines its digital model is increasingly essential for any professional involved in AI strategy and digital transformation.
This course goes beyond observation delegates analyse China's AI platforms, digital business models, smart manufacturing approaches, government AI applications, and decision intelligence frameworks, developing the strategic insight and practical tools to apply those lessons to their own transformation agendas.
The AI + Digital China Expedition Course is built for professionals who want a first-hand, strategically grounded understanding of the world's most dynamic AI and digital ecosystem and the capability to translate that understanding into competitive advantage in their own organisations.
The AI + Digital China Expedition Course is designed to develop a comprehensive strategic and applied understanding of China's AI and digital transformation ecosystem from national strategy and platform economies through industrial AI, smart cities, and decision intelligence.
By the end of this course, participants will be able to:
The AI + Digital China Expedition Course is designed for business leaders, strategy professionals, and technology executives who want to understand China's AI and digital transformation ecosystem — and who want to develop the strategic and applied insight to translate those lessons into competitive advantage within their own organisations.
This course is suitable for:
The AI + Digital China Expedition Training Course is delivered through an interactive and structured approach that ensures both conceptual understanding and practical application. The training course combines expert-led instruction with collaborative learning to enhance engagement and knowledge retention.
Participants will engage in detailed discussions, case study analysis, and practical exercises that explore real-world AI implementations. These activities are designed to help participants apply insights directly to their organisational context, ensuring relevance and immediate value.
Key learning methods include:
This approach ensures participants gain actionable knowledge and the confidence to implement AI and digital transformation strategies effectively.
Register now or contact our team to discuss schedules, delivery formats, and customised options.
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Common questions about our training courses
This course is designed for senior leaders, strategy professionals, technology executives, operations managers, government officials, and innovation specialists who want a strategically grounded, immersive understanding of China's AI and digital ecosystem and its implications for global business and technology strategy. It is suitable for both those new to China's digital landscape and experienced professionals who want a deeper, more structured analysis of its models, platforms, and strategic lessons.
Day 1 covers China's AI and digital transformation landscape in full — including the evolution of the digital economy, the national AI strategy and long-term digital vision, and the role of government policy in enabling the speed, scale, and execution that defines China's digital model. Delegates develop a clear, evidence-based understanding of how China has created the conditions for national-scale AI deployment — and what strategic lessons those conditions offer for organisations and governments globally.
Day 3 focuses on smart manufacturing and industrial AI — examining how China has applied AI to smart factories, robotics, automation, predictive maintenance, and supply chain optimisation within its Industry 4.0 development model. Delegates design an AI-enabled operations model in a practical exercise developing the applied insight to evaluate how China's industrial AI approach can inform their own operational improvement and digital manufacturing strategies.
No prior knowledge of China's digital economy is required. The course begins with the evolution of China's digital economy, its national AI strategy, and the roles of government and private sector before advancing to platform ecosystems, industrial AI, and decision intelligence — making it accessible to delegates from any professional background who want to develop a strategic understanding of one of the world's most significant AI ecosystems.
Day 2 covers platform economies and super-app ecosystems in depth — examining how China's leading platforms have integrated payments, social, commerce, logistics, and financial services into single digital environments, how AI-driven personalisation and consumer intelligence operate at scale within these platforms, and what the ecosystem partnership and network effect dynamics are that sustain platform dominance. Delegates leave with a practical understanding of what makes China's platform model distinctive and what is transferable to other market contexts.
Ethics, surveillance, and trust in AI systems are addressed directly within Day 4 — examining the specific ethical debates surrounding AI surveillance applications, the data governance and privacy models that govern China's digital ecosystem, and how different regulatory and cultural frameworks balance innovation against individual rights. Delegates develop an informed, nuanced perspective on these issues — one that is essential for any leader engaging with AI governance in any national or organisational context.
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