AI-Driven Entrepreneurship: Designing and Scaling a One-Person Venture 打造AI原生个体企业 (FTH527)

FTH527 AI-Driven Entrepreneurship: Designing and Scaling a One-Person Venture equips students with the strategic frameworks and technical skills required to build a hyper-scalable business using artificial intelligence as the primary growth engine. Spanning the entire entrepreneurial lifecycle—from initial ideation and rapid prototyping to automated marketing and financial modeling—this course emphasizes the rigorous, hands-on application of modern AI ecosystems. Participants will move beyond basic tool usage to deploy AI as a synthetic “co-founder,” learning to automate complex workflows, optimize decision-making, and unlock disruptive business models. Ultimately, this course empowers founders to architect, launch, and sustain high-margin ventures with a fraction of traditional startup resources. FTH527 打造AI原生个体企业旨在帮助学生掌握以人工智能为核心增长引擎构建高可扩展商业模式所需的战略框架与技术能力。课程贯穿创业全生命周期——从初始创意构思与快速原型开发，到自动化营销与财务建模，强调在真实场景中对现代人工智能生态系统的系统性与实践性应用。 学生不仅将学习基础工具的使用，更将进一步将人工智能视为“联合创始人”，学会自动化复杂工作流程、优化决策过程，并挖掘具有颠覆性的商业模式。最终，本课程将赋能创业者以远低于传统创业所需资源的成本，设计、启动并持续运营高利润率的创新企业。

• The Synthetic Co-Founder: AI Capabilities and Venture Workflow Architecture 合成联合创始人：人工智能能力与创业流程架构
• Algorithmic Market Validation: Identifying High-Leverage Opportunities 算法驱动的市场验证：识别高杠杆机会
• Designing the One-Person Company: AI-Native Business Models 单人公司的设计：AI原生商业模式
• Rapid Prototyping: AI-Assisted Ideation and UX/UI Design 快速原型开发：AI辅助创意生成与UX/UI设计
• Zero-Code Execution: Building and Launching Digital Products with AI 零代码实践：利用人工智能构建与发布数字产品
• Predictive Analytics: Automating Customer Insights and Hyper-Personalization 预测分析：自动化客户洞察与超个性化
• The Autonomous Growth Engine: AI-Driven Customer Acquisition 自主增长引擎：AI驱动的客户获取
• Scalable Monetization: Digital Revenue Models for the Solo Venture 可规模化变现：单人企业的数字收入模式
• AI-Optimized Financial Modeling: Capital Allocation for Solo Founders AI优化的财务建模：单人创业者的资本配置
• Bootstrapping to Scale: Capital Strategy and AI-Enabled Fundraising 从自筹到规模化：资本策略与AI赋能融资
• The Self-Driving Enterprise: Autonomous Operations and Workflow Scaling 自驱型企业：自主运营与流程规模化
• Venture Resilience: AI Governance, Ethical Risks, and Regulatory Compliance 企业韧性：人工智能治理、伦理风险与监管合规

• Analyse disruptive, high-margin business models to identify how artificial intelligence serves as the primary engine for value creation and competitive advantage 分析高利润率的颠覆性商业模式，识别人工智能如何作为价值创造与竞争优势的核心驱动引擎
• Critique the ethical implications, platform dependencies, and data governance risks inherent in AI ecosystems to ensure the long-term sustainability of a one-person venture 评估人工智能生态系统中的伦理影响、平台依赖性及数据治理风险，以确保单人企业的长期可持续发展
• Construct Minimum Viable Products (MVPs) and digital services using AI-assisted development and low-code ecosystems to drastically reduce time-to-market 运用AI辅助开发与低代码生态系统构建最小可行产品（MVP）及数字化服务，大幅缩短产品上市时间
• Design automated, zero-marginal-cost backend operations by integrating autonomous AI agents to handle routine business processes 通过整合自主智能代理（AI Agents），设计自动化、边际成本趋近于零的后台运营体系，以处理日常业务流程
• Formulate a comprehensive go-to-market strategy that leverages generative AI for highly scalable, data-driven customer acquisition and market analytics 制定全面的市场进入策略，利用生成式人工智能实现高度可扩展、数据驱动的客户获取与市场分析
• Create pricing strategies and predictive financial models by applying advanced AI analytics tools to support rigorous executive decision-making 运用先进的人工智能分析工具，创建定价策略与预测性财务模型，以支持严谨的管理层决策