Smart Data Workflows with Copilot in Fabric

Data professionals are increasingly expected to deliver rapid insights from complex datasets, but manual coding and pipeline configuration can slow down progress. This text-based course guides you through utilizing AI-driven assistance to streamline your entire data lifecycle within the Fabric environment. By reading through these comprehensive lessons, you will transition from manual data preparation to an efficient, AI-assisted workflow. You will understand how to formulate precise prompts to generate code, build robust data pipelines, transform raw data, and draft insightful reports with significantly less manual effort. What you'll learn: Understand foundational Fabric concepts and how Copilot integrates across different workloads; Learn basic prompt engineering techniques specifically tailored for data analytics and engineering; Generate and refine Python and SQL queries using natural language assistance; Transform raw datasets into structured formats within Lakehouses and Warehouses; Create mock data and automate pipeline configurations using guided AI suggestions; Draft data visualizations and reporting structures with conversational prompts. The course begins with essential terminology, outlining the architecture of the Fabric platform and how the generative AI assistant operates. You will then progress step-by-step through practical text-based exercises, covering data ingestion, transformation, and reporting. This course is designed for beginners, data analysts, and aspiring data engineers who want to work smarter with modern AI tools. No prior experience with Fabric or advanced programming is required. Start reading today to transform your data workflows with the power of generative AI.