SQL Development and Query Tuning with GitHub Copilot

Writing complex SQL queries and managing database structures can be time-consuming and error-prone. Integrating AI assistants into your database workflow can dramatically speed up development, but only if you know how to guide the AI effectively. This text-based course teaches you how to collaborate with GitHub Copilot to write, refactor, and optimize SQL queries. You will transition from writing basic queries to directing an AI assistant to generate complex joins, subqueries, and database schemas safely and efficiently. What you'll learn: Understand the foundational concepts of AI-assisted SQL development and prompt engineering for databases; Generate complex SQL queries, including multi-table joins, subqueries, and aggregations using natural language prompts; Optimize and refactor existing database queries for better performance with AI guidance; Identify and correct potential security risks, such as SQL injection, in AI-generated database code; Debug broken database queries and analyze error logs using explanation features. The course begins with core definitions of AI-assisted coding and basic SQL syntax, then moves into written scenarios where you will construct prompts for complex database tasks. You will read code explanations, analyze query outputs, and practice refining prompts to get precise SQL results. This course is designed for beginning developers, data analysts, and database enthusiasts who want to integrate modern AI tools into their SQL workflow, with no advanced programming experience required. Start reading today to transform how you write and optimize SQL database queries with the power of AI.