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所在平台: Udemy |
课程主页: https://www.udemy.com/course/salesforce-agentforce-power-agents-with-unstructured-data/
课程评论：没有评论
**课程总结：构建一个与非结构化PDF数据聊天的Salesforce智能助手** 本课程是一门以项目为导向的实践课程，旨在教授学员如何利用AWS、Data Cloud、Einstein Data Library和Prompt Builder等技术，构建能够有效处理非结构化数据的智能Salesforce代理。 **核心学习内容：** * **数据注入与处理：** 学习如何将非结构化数据上传至AWS S3，并将其注入Salesforce Data Cloud。掌握如何在Data Cloud中构建Data Lake和Data Model Objects，以便进行高效的数据处理。 * **智能代理构建：** 利用Prompt Builder配置智能代理，使其能够根据用户输入从Data Cloud中提取相关信息，并生成实时、上下文感知的响应。 * **非结构化数据处理：** 探索Einstein Data Library如何处理非结构化数据，实现问答等功能，为代理提供更精准、个性化的回复。 **项目实践：** * **项目一：** 将AWS S3中的非结构化数据导入Salesforce Data Cloud，并利用该数据创建一个动态代理，将其部署到Experience Site供用户访问。 * **项目二：** 利用Einstein Data Library处理和“接地”（grounding）非结构化数据，使代理能够提供准确且个性化的回复。 **技能收获：** 学员将获得将AWS S3与Salesforce Data Cloud集成的实践经验，学习数据湖和数据模型对象管理，并熟练运用Prompt Builder等高级工具提升工作流自动化能力。 **课程目标：** 完成课程后，学员将能够创建智能代理，将非结构化数据转化为可操作的见解，从而提高效率、优化客户互动和提升整体生产力。 **目标学员：** 本课程适合开发者、AI爱好者以及希望将云解决方案与Salesforce集成以应对复杂数据挑战的团队。
Welcome to "Build a Salesforce Agent to Chat with Unstructured PDF Data", a project-driven course designed to equip you with the skills to create intelligent Salesforce agents that can effectively leverage unstructured data.In this course, you'll learn how to integrate technologies like AWS, Data Cloud, Einstein Data Library, and Prompt Builder to build agents capable of providing accurate, context-driven responses. We'll guide you through key concepts such as uploading data to AWS S3, injecting it into Salesforce Data Cloud, and structuring it into Data Lake and Data Model Objects for seamless data processing.Using Prompt Builder, you'll configure agents to fetch relevant information from Data Cloud based on user inputs and generate real-time, context-aware responses. You'll also explore how the Einstein Data Library enables agents to process unstructured data for tasks like question-and-answer interactions.This course emphasizes hands-on learning, with two exciting projects:Project 1: Ingest unstructured data from AWS S3 into Salesforce Data Cloud, create a dynamic agent using this data, and expose it on an Experience Site for user access.Project 2: Leverage Einstein Data Library to process and ground unstructured data, enabling agents to deliver precise and personalized responses.You'll gain practical experience integrating AWS S3 with Salesforce Data Cloud, managing Data Lake and Data Model Objects, and using advanced tools like Prompt Builder to enhance workflow automation.By the end of the course, you'll have the expertise to create intelligent agents that can transform unstructured data into actionable insights, improving efficiency, customer interactions, and overall productivity.This course is perfect for developers, AI enthusiasts, and teams looking to integrate cloud solutions with Salesforce to tackle complex data challenges. Let's dive in and unlock the potential of unstructured data!
