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所在平台: Udemy |
课程主页: https://www.udemy.com/course/generative-ai-for-marketing-analysts/
课程评论：没有评论
课程名称：市场分析师的生成性人工智能 课程概述：《市场分析师的生成性人工智能》课程旨在为现代营销者和数据专业人士提供使用AI驱动工具的高级能力，以优化、自动化和提升营销表现。课程开始时介绍了生成性AI的基础概念和能力，区别于传统营销分析方法，并突出其对营销分析师的变革性益处。学习者将接触到行业领先的生成性AI工具，如ChatGPT、Jasper、Bard、Claude和DALL·E，探索从活动规划到内容创作的多种使用案例。 课程特别强调提示工程的艺术与科学，提供如何撰写有效提示的实际指导，以获取活动洞察、广告文案、社交趋势分析和报告生成。参与者将获得使用生成性AI生成详细客户画像、进行行为细分、描述K-Means或DBSCAN聚类的实操经验，以及构建客户声音（VoC）模型。 课程还探讨了AI驱动的内容生成，包括撰写标题、号召性用语（CTA）、电子邮件和多语言产品描述，结合如Jasper的博客自动化和ChatGPT的电商角色建模这样的真实案例。高级预测模块涵盖销售预测、SWOT/PESTEL生成以及使用时间序列和趋势映射工具进行竞争对手基准测试。 学习者还将应用生成性AI进行个性化营销，定制优惠、生成电子邮件/SMS模板、映射CRM行为的旅程以及构建动态内容。课程讲解了通过自动总结、提示链式报告生成、KPI叙述转换和文本转图形可视化来进行绩效监控，并提供了使用ChatGPT和Excel自动化的实用案例研究。 最后，课程为市场分析师提供了超过1000个最佳提示的资源库，支持学习者在现实环境中立即实施。
The "Generative AI for Marketing Analysts" course is designed to equip modern marketers and data professionals with advanced capabilities in using AI-driven tools to optimize, automate, and elevate marketing performance. The course begins by introducing foundational concepts and capabilities of Generative AI, distinguishing it from traditional marketing analytics approaches, and highlighting its transformative benefits for marketing analysts. Learners are introduced to industry-leading GenAI tools such as ChatGPT, Jasper, Bard, Claude, and DALL·E, exploring a wide range of use cases from campaign planning to content creation. A strong focus is placed on the art and science of prompt engineering, with practical instruction on writing effective prompts for campaign insights, ad copy, social trend analysis, and report generation. Participants will gain hands-on experience in using GenAI to generate detailed customer personas, conduct behavioral segmentation, describe clusters from K-Means or DBSCAN, and build voice-of-customer (VoC) models.The course further explores AI-powered content generation, including writing headlines, CTAs, emails, and multilingual product descriptions, with real-world case studies such as Jasper's blog automation and ChatGPT's persona modeling for e-commerce. Advanced forecasting modules cover sales prediction, SWOT/PESTEL generation, and competitor benchmarking using time-series and trend-mapping tools. Learners will also apply GenAI for personalized marketing, customizing offers, generating email/SMS templates, mapping journeys from CRM behavior, and building dynamic content. Performance monitoring is addressed through auto-summarization, prompt-chained report generation, KPI narrative translation, and text-to-chart visualization, with practical case studies using ChatGPT and Excel automation. The course culminates with access to a library of 1000+ best prompts tailored for marketing analysts to enable immediate implementation in real-world settings.
