Building Salesforce Agents for Unstructured PDF Data

Organizations often struggle to unlock the valuable insights buried within PDF documents and unstructured files. This course teaches you how to bridge the gap between external cloud storage and Salesforce to create AI-driven agents capable of answering complex questions based on your specific business data. You will learn how to architect a data pipeline that moves information from storage into actionable AI prompts. You will gain the skills to configure intelligent agents that provide accurate, context-driven responses using modern retrieval techniques and secure data mapping. What you'll learn: - Understand the fundamentals of Retrieval-Augmented Generation (RAG) within the Salesforce ecosystem - Configure AWS S3 integration to ingest unstructured files into Data Cloud - Map Data Lake and Data Model Objects to structure information for AI processing - Utilize Prompt Builder to create grounded, context-aware instructions for agents - Apply Einstein Data Library features to manage and retrieve unstructured content - Implement secure data flows between external cloud storage and Salesforce environments The course begins with essential terminology and foundational concepts of AI agents before moving into the technical requirements for Data Cloud and AWS connectivity. You will explore the logic behind grounding prompts and learn how to deploy these agents to digital sites for user interaction. This course is designed for beginners and AI enthusiasts looking to expand their technical toolkit; no prior experience with Data Cloud or AWS is required. Start building intelligent agents that transform static documents into interactive knowledge bases today.