Foundations of SQL Database Agents for Data Analysis

As data grows, the ability to interact with databases using plain text is becoming a critical skill in modern backend and data engineering. This course teaches you how to design and build an intelligent database agent that bridges the gap between human language and structured data. You will explore the core concepts of agentic AI, learning how to safely parse, validate, and execute SQL queries generated from natural language prompts. What you'll learn: - Understand the fundamental architecture of agentic AI and natural language processing. - Design prompts that effectively guide language models to generate accurate SQL. - Implement safe query execution patterns to protect databases from malicious or malformed commands. - Apply Retrieval-Augmented Generation (RAG) concepts to provide context to your database agent. - Build a text-based workflow that translates user questions into actionable data insights. - Practice integrating basic testing and validation logic for generated queries. The course begins with essential terminology and the foundational concepts of AI agents before moving into practical, written exercises on prompt construction and query validation. You will progress through step-by-step text explanations to build a robust, safe workflow for natural language data analysis. Designed for beginners, aspiring data engineers, and backend developers, this course requires no prior AI experience. Start building your first natural language SQL agent today.