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所在平台: Udemy |
课程主页: https://www.udemy.com/course/generative-ai-for-procurement-analysts/
课程评论：没有评论
课程名称：采购分析师的生成性人工智能 概述：这门综合课程“采购分析师的生成性人工智能”旨在为采购专业人士提供前沿技能，以应对以人工智能驱动的采购、供应商管理和支出优化的转型。课程首先对生成性人工智能进行解读，介绍大语言模型（LLMs）、变压器架构和扩散模型如何重新定义企业采购。课程回顾了人工智能在采购系统中的演变，比较了传统的电子表格分析与人工智能增强的决策制定、预测性与生成性采购智能。学习者将探索如ChatGPT等主要工具，并审视麦肯锡对实际采购中人工智能采用的观点。 在接下来的模块中，重点转向提示工程，这是与生成性人工智能互动的核心技能。学生将学习有效提示的构成，区分指令性和分析性提示，并掌握零-shot、one-shot和few-shot学习的技巧，配以采购特定的实例。高级主题包括提示链和上下文丰富查询的构建，以及常见提示错误及其解决方法。 课程深入探讨了包括供应商发现、供应商评估矩阵、SWOT分析、风险评估和合规检查等功能应用，支持以全球供应商筛选为案例研究。接下来的合同管理模块，学习者将运用人工智能分析条款、识别风险、提取义务和修改条款，案例包括Coupa和SAP Ariba。 最后几个模块覆盖支出分析、成本优化、EOQ/TCO/KPI生成和使用生成性提示进行可视化报告，并结合实时风险监控、外部信号整合和警报生成，示例为西门子在人工智能风险缓解方面的应用。学生还将自动生成RFP、SOP、谈判电子邮件和工作流自动化，最终实现1000个为采购分析量身定制的专业提示，帮助学习者在日常工作中全面落实人工智能。
This comprehensive course, "Generative AI for Procurement Analysts," is designed to empower procurement professionals with cutting-edge skills to navigate the AI-driven transformation of sourcing, vendor management, and spend optimization. It begins by demystifying Generative AI, explaining how Large Language Models (LLMs), transformer architectures, and diffusion models are redefining enterprise procurement. The course traces the evolution of AI in procurement systems, contrasting traditional spreadsheet-based analysis with AI-augmented decision-making and predictive vs. generative sourcing intelligence. Learners explore major tools like ChatGPT and examine McKinsey's perspective on real-world AI adoption in procurement.In the next module, the focus shifts to prompt engineering, the core skill for interacting with generative AI. Students learn the anatomy of effective prompts, distinguish between instructional and analytical prompting, and master techniques like zero-shot, one-shot, and few-shot learning with procurement-specific examples. Advanced topics like prompt chaining and crafting context-rich queries are explored alongside common prompt errors and their remedies.The course then deep-dives into functional applications such as vendor discovery, supplier evaluation matrices, SWOT analysis, risk profiling, and compliance checks, supported by case studies like global supplier shortlisting. Contract management follows, where learners apply AI to analyze clauses, identify risks, extract obligations, and redline terms-illustrated by Coupa and SAP Ariba case examples.The final modules cover spend analysis, cost optimization, EOQ/TCO/KPI generation, and visual reporting using generative prompts, along with real-time risk monitoring, external signal integration, and alert generation, exemplified by Siemens' AI risk mitigation. Students will also auto-generate RFPs, SOPs, negotiation emails, and workflow automations, culminating in 1000 expertly crafted prompts tailored for procurement analytics, helping learners fully operationalize AI in their daily work.
