|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/generative-ai-for-business-analysts/
课程评论：没有评论
课程名称：商业分析师的生成性人工智能 课程概述： 《商业分析师的生成性人工智能》是一门全面且实践导向的课程，旨在为现代商业分析师（BAs）提供利用生成性人工智能增强商业分析能力的工具、技术和策略。随着人工智能不断改变商业职能，本课程弥合了传统BA实践与智能自动化之间的差距，重点关注如何利用ChatGPT、Claude、Gemini等工具优化需求收集、文档编写、利益相关者沟通及决策过程。 课程内容涵盖了以下几个方面： 1. **生成性人工智能在核心商业职能中的演变**：探索生成性AI在商业分析及其他职能中的应用。 2. **提示工程基础培训**：专为BAs定制的提示工程技巧，帮助学员生成AI驱动的模板。 3. **利益相关者采访与需求生成**：利用AI生成用户故事、用例及验收标准，设计符合项目目标的智能面试问题，并将利益相关者输入转化为结构化文档。 4. **实际操作练习**：通过真实案例生成BPMN图、流程图和客户旅程图，批判性分析现有工作流程，甚至从电子邮件或会议记录中生成流程模型。 5. **数据分析模块**：展示生成性AI如何支持数据探索性分析（EDA），解释结构化与非结构化趋势，创建数据仪表盘，以及使用Excel、SQL、Power BI和Tableau进行有吸引力的数据故事讲述。 6. **进阶课程讲解**：使用AI生成BRD、FRD、SRS和用户手册，检测文档中的矛盾，自动翻译商业内容，进行竞争分析，并构建SWOT、PESTEL及波特五力分析框架。 7. **角色扮演与模拟**：进行利益相关者角色扮演，制定AI生成的沟通计划与冲突解决策略。 8. **工具整合**：与流行的BA工具（如Jira、Confluence、Miro、Trello）和无代码平台相结合，并提供涵盖50个主题的1000个生成性AI提示库。 本课程旨在帮助BAs以自信和明确的方式引领数字化转型。
The "Generative AI for Business Analysts" course is a comprehensive and hands-on program designed to equip modern Business Analysts (BAs) with the tools, techniques, and strategies to fully leverage the power of generative AI in business analysis. As AI continues to transform business functions, this course bridges the gap between traditional BA practices and intelligent automation, focusing on how tools like ChatGPT, Claude, Gemini, and others can optimize requirement gathering, documentation, stakeholder communication, and decision-making.The course begins by exploring the evolving role of generative AI in core business functions, followed by foundational training in prompt engineering tailored for BAs. Participants will learn to generate AI-driven templates for stakeholder interviews, auto-create user stories, use cases, and acceptance criteria, and design smart interview questions that align with project goals. Using AI, learners will convert stakeholder input into structured documents and simulate stakeholder interviews for requirement generation.Through real-world exercises, learners will generate BPMN diagrams, process flows, and journey maps directly from text, critique existing workflows, and even produce process models from emails or meeting notes. A strong data module will demonstrate how GenAI can support exploratory data analysis (EDA), interpret structured and unstructured trends, create dashboards, and drive compelling data storytelling using tools like Excel, SQL, Power BI, and Tableau.Advanced lectures include using AI to generate BRDs, FRDs, SRS, and user manuals, detect contradictions in documents, auto-translate business content, perform competitive analysis, and create SWOT, PESTEL, and Porter's Five Forces frameworks. The course also covers role-playing stakeholder simulations, AI-generated communication plans, and conflict resolution techniques. Integrated with popular BA tools (Jira, Confluence, Miro, Trello), no-code platforms, and a library of 1000 GenAI prompts across 50 topics, this course prepares BAs to lead digital transformation with confidence and clarity.
