
Review and debug AI-generated SQL statements through scenario-based learning, using a custom data model to improve prompts, validation, and testing for professionals and students with solid SQL backgrounds.
Debug ai generated sql by using joins between races and race categories, joining same table twice with aliases for two foreign keys to fetch race name, lens, and surface type.
Explore debugging ai-generated sql by inspecting prompts, inferred keys, and joins across teams, runners, race results, split times, and checkpoints, then validate last checkpoint logic and test results.
Learn how soft deletes use a flag column to archive records rather than physically deleting them, and why ai-generated queries must respect this filter to exclude deleted rows.
Learn how choosing the correct data type for a column affects AI-generated SQL and how to cast varchar values to numeric for accurate averages.
*This course contains the use of artificial intelligence.
*AI was used to generate content and improve the quality of the video and audio.
Generative AI tools can quickly create SQL queries, but the generated output is not always accurate, efficient, or reliable. Understanding how to analyze and debug AI-generated SQL is becoming an essential skill for developers, analysts, and database professionals.
This course focuses on identifying issues in AI-generated SQL queries, improving prompts for better results, and understanding the strengths and limitations of AI-assisted SQL generation. Through real-world scenarios, learners will explore common mistakes made by AI, learn practical debugging techniques, and develop the ability to validate generated queries.
This is a scenario-based course designed for learners who already have a good understanding of SQL and want to improve their ability to work effectively with Generative AI tools.
This course is designed as a scenario-based learning experience rather than an exercise-focused or beginner-friendly SQL course. The primary focus is on analyzing, debugging, and improving AI-generated SQL queries through real-world scenarios and discussions. Learners are expected to already have a strong understanding of SQL fundamentals, as the course does not cover basic SQL concepts in depth or provide extensive hands-on exercises and practice questions.
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