Building Fabric Data Agents to Chat with Your Data

Organizations are flooded with data, but finding quick answers often requires complex queries and technical expertise. Fabric Data Agents bridge this gap by allowing users to converse directly with their databases using natural language. This text-only course guides you through the foundational concepts and practical steps to design, configure, and deploy intelligent data agents. You will transition from understanding basic data warehousing concepts to building conversational interfaces that securely retrieve and synthesize business insights. What you'll learn: Understand the foundational architecture of Fabric Data Agents and conversational AI; Configure secure data connections and semantic models to feed your intelligent agents; Apply Retrieval-Augmented Generation (RAG) patterns to ground agent responses in your actual data; Design clear prompts to guide agent behavior, tone, and query accuracy; Implement data privacy boundaries and access controls to keep sensitive information secure; Test and refine agent performance using realistic business query scenarios. The course begins with essential terminology and data agent fundamentals before moving step-by-step through configuration, prompt engineering, and security best practices. You will learn through clear written explanations, structured conceptual walkthroughs, and practical configuration examples. Designed for data analysts, business intelligence beginners, and tech-savvy professionals looking to leverage AI, this course requires no prior programming or cloud architecture background. Start reading today to unlock conversational access to your organization's data assets.