Xây dựng Trợ lý AI Salesforce để Trò chuyện với Dữ liệu PDF Không có Cấu trúc

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:

1. 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.

2. 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!