Digital China AI Strategy Expedition Course

Name: Digital China AI Strategy and Innovation Expedition Training Course
Availability: InStock

Examine digital ecosystems, platform models, smart industry, enterprise AI, partnerships, and governance through an executive strategy lens.

Digital China AI Strategy Expedition Course

At a glance

Duration: 12 days
Format: Classroom
Cities: Paris, Munich, Singapore, Dubai, Amman, Seoul and more
Next session: 5 – 16 October 2026, Paris
Average fee: 9,900 €

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Digital China AI Strategy and Innovation Expedition Training Course

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Overview

Digital China AI Strategy and Innovation Expedition Training Course is a ten-day executive course for senior executives, transformation leaders, innovation directors, strategy leaders, and modernization decision-makers, who leave with an AI and Digital China Action Agenda. Participants analyze the digital economy ecosystem, platform business models, digital infrastructure, smart industry, urban innovation, enterprise AI adoption, governance, risk, and ecosystem partnerships through structured observation and executive synthesis. Agile Leaders Training Center delivers training in Digital China strategy and innovation.

Who Should Attend

Executive leadership personnel responsible for enterprise strategy, investment priorities, and transformation direction
Digital transformation personnel responsible for operating-model change, technology portfolios, and adoption
Innovation personnel responsible for ecosystem partnerships, venture engagement, and opportunity assessment
Strategy personnel responsible for market intelligence, scenario analysis, and growth choices
Public-service modernization personnel responsible for digital services, infrastructure, and governance

The course assumes participants evaluate strategic initiatives and organizational change at work, and it leaves out coding, model development, vendor certification, and guaranteed access to named organizations.

Departments and Industries

The course supports executive decision-making across public services, finance, manufacturing, retail, logistics, technology, and professional services.

Corporate strategy and executive offices
Digital transformation and information technology
Innovation, ventures, and ecosystem partnerships
Manufacturing, logistics, and infrastructure
Finance, retail, commerce, and public services

Learning Objectives

By the end of this course, participants will be able to:

Analyze Digital China strategy and ecosystem dynamics
Compare platform, commerce, finance, industry, and urban models
Evaluate digital infrastructure and enterprise AI readiness
Apply observation frameworks to innovation evidence
Prioritize partnerships, governance, risk, and transfer options
Build an AI and Digital China Action Agenda

Course Agenda

Day 1: Digital China Strategic Context

Digital Economy Ecosystem Mapping Canvas
AI Strategy Context and Driver Map
Public-Private Innovation Interface Grid
Digital Scale and Adoption Evidence Checklist
Executive Strategic Question Register

Day 2: Platforms and Digital Business Models

Platform Ecosystem Actor Map
Network-Effect and Scale Logic Canvas
Super-App Service Architecture Diagram
Data-Enabled Business Model Matrix
Platform Value and Dependency Scorecard

Day 3: E-Commerce, Logistics, and Digital Finance

Digital Commerce Journey Map
Marketplace Operating Model Canvas
Smart Logistics Flow and Fulfillment Map
Digital Finance Use-Case Portfolio
Commerce-Finance Risk Interface Checklist

Day 4: Digital Infrastructure and Compute

Digital Infrastructure Layer Map
Cloud-Data-Compute Dependency Matrix
Connectivity and Edge Opportunity Canvas
Infrastructure Resilience Question Set
Strategic Technology Sovereignty Scenario Grid

Day 5: Smart Manufacturing and Industrial AI

Smart Factory Value-Stream Map
Industrial AI Application Portfolio
Robotics and Human-Work Interface Canvas
Manufacturing Data Readiness Scorecard
Industrial Scaling and Transferability Matrix

Day 6: Smart Cities and Urban Innovation

Urban Digital Service Ecosystem Map
Smart Mobility Decision Canvas
City Operations Data-Flow Diagram
Citizen Value and Inclusion Checklist
Urban Technology Governance Matrix

Day 7: Enterprise AI Adoption

Enterprise AI Opportunity Portfolio
Operating Model Change Blueprint
Workforce Capability and Adoption Heatmap
AI Investment Value Hypothesis Card
Scale-Pilot-Stop Decision Gate

Day 8: Ecosystem Partnerships and Market Entry

Ecosystem Partner Segmentation Matrix
Partnership Value-Exchange Canvas
Market Entry Assumption Register
Cross-Border Collaboration Risk Map
Partner Due-Diligence Question Bank

Day 9: Governance, Risk, and Executive Synthesis

AI Governance Accountability Matrix
Data and Model Risk Review Grid
Digital Ecosystem Dependency Scenario
Observation-to-Insight Evidence Log
Executive Transfer Priority Board

Day 10: Strategy Transfer Practice and Capstone

Suggested Exercise: Compare Two Platform Models
Suggested Exercise: Evaluate an Industrial AI Observation
Suggested Exercise: Test a Partnership Assumption
Suggested Exercise: Prioritize Governance and Transfer Actions
Capstone Exercise: AI and Digital China Action Agenda

Practical Exercises

The course uses suggested activities that convert observed practices and ecosystem evidence into decisions relevant to participants' organizations.

Suggested activity: document a digital business model using actors, exchanges, dependencies, scale logic, and risks
Suggested activity: compare commerce, manufacturing, and urban applications by strategic value, readiness, and transferability
Suggested activity: challenge a partnership proposition through assumptions, due diligence, governance, and dependency scenarios
Suggested activity: synthesize observations into priorities, owners, experiments, decision gates, and review measures

FAQs

Who suits the Digital China AI Strategy and Innovation Expedition Training Course, and what does it assume?

The course suits executives and transformation, innovation, strategy, and modernization leaders who evaluate investments and change. It assumes experience with strategic decisions and requires no coding knowledge.

How does Digital China executive training differ from a technical AI course?

Digital China executive training focuses on ecosystem evidence, business models, infrastructure, adoption, governance, partnerships, and strategic transfer rather than algorithms, programming, or model deployment.

How should leaders assess Digital China innovation for organizational use?

Leaders should test strategic fit, value logic, data and infrastructure readiness, operating-model implications, workforce adoption, governance, dependencies, partnership requirements, and measurable transfer experiments.

What should executives observe in a Digital China learning expedition?

Executives should observe actors, customer journeys, data flows, operating choices, scale mechanisms, human roles, governance boundaries, dependencies, and evidence of outcomes, while separating demonstrated practice from assumptions.

How can Digital China ecosystem lessons become an action agenda?

Ecosystem lessons become actionable when leaders translate observations into prioritized opportunities, testable assumptions, responsible owners, partnership choices, risk controls, decision gates, and review measures.

Conclusion

Participants take back an AI and Digital China Action Agenda linking ecosystem observations, strategic choices, partnership options, governance priorities, and transfer experiments. It changes how leaders assess digital models and adapt relevant practices. The agenda supports evidence-based investment, operating-model decisions, responsible adoption, and executive review across transformation initiatives.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 21-40 of 76 events

Location	Dates	Duration	Mode	Price
Kuala Lumpur	Week 02, 2027 11 – 22 January 2027	12 Days	Onsite	€9,000
Zoom	Week 03, 2027 18 – 29 January 2027	12 Days	Online	€3,000
Nice	Week 03, 2027 18 – 29 January 2027	12 Days	Onsite	€10,000
Sharm El-Sheikh	Week 04, 2027 25 January – 5 February 2027	12 Days	Onsite	€7,000
Kuwait	Week 04, 2027 31 January – 11 February 2027	12 Days	Onsite	€11,000
Istanbul	Week 05, 2027 1 – 12 February 2027	12 Days	Onsite	€8,500
Dubai	Week 06, 2027 8 – 19 February 2027	12 Days	Onsite	€8,500
London	Week 06, 2027 8 – 19 February 2027	12 Days	Onsite	€10,000
Casablanca	Week 07, 2027 15 – 26 February 2027	12 Days	Onsite	€7,000
Accra	Week 07, 2027 21 February – 4 March 2027	12 Days	Onsite	€5,800
Toronto	Week 07, 2027 21 February – 4 March 2027	12 Days	Onsite	€16,000
Amsterdam	Week 09, 2027 1 – 12 March 2027	12 Days	Onsite	€10,000
Doha	Week 09, 2027 7 – 18 March 2027	12 Days	Onsite	€10,000
Manama	Week 10, 2027 14 – 25 March 2027	12 Days	Onsite	€8,000
Abu Dhabi	Week 11, 2027 15 – 26 March 2027	12 Days	Onsite	€8,000
Nairobi	Week 11, 2027 21 March – 1 April 2027	12 Days	Onsite	€6,400
Bangkok	Week 12, 2027 28 March – 8 April 2027	12 Days	Onsite	€9,000
Riyadh	Week 12, 2027 28 March – 8 April 2027	12 Days	Onsite	€11,400
Prague	Week 14, 2027 5 – 16 April 2027	12 Days	Onsite	€10,000
Cape town	Week 14, 2027 11 – 22 April 2027	12 Days	Onsite	€6,400

Frequently asked questions

What does this course cover?

OverviewDigital China AI Strategy and Innovation Expedition Training Course is a ten-day executive course for senior executives, transformation leaders, innovation directors, strategy leaders, and modernization decision-makers, who leave with an AI and Digital China Action Agenda. Participants analyze the digital economy ecosystem, platform business model…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

Digital China AI Strategy Expedition Course