Smart Data Engineering and Analytics with Copilot in Fabric

As data environments grow more complex, leveraging AI assistance is key to staying efficient and productive. This text-based course guides you through using Copilot within Fabric to accelerate your data preparation, analysis, and reporting workflows. You will transition from manual data operations to an AI-assisted workflow. By understanding how to write effective prompts and integrate generative AI into your data pipelines, you will significantly reduce development time and unlock deeper insights from your datasets. What you'll learn: - Understand the core architecture of Fabric and how Copilot integrates across different workloads - Write precise prompts to generate, clean, and transform data using Python and SQL - Build and optimize data pipelines using AI-assisted code generation and explanation - Create compelling reports and semantic models by instructing Copilot in natural language - Apply data security and governance best practices when interacting with AI assistants - Practice troubleshooting and debugging code snippets generated by Copilot The course starts with essential terminology and the foundational mechanics of generative AI in data environments. You will then progress through structured text-based modules and practical written exercises designed to build your confidence in real-world scenarios. This course is designed for beginner data analysts, engineers, and business intelligence professionals who want to adopt AI-assisted workflows. No prior experience with Copilot is required. Start reading today to transform how you work with data.