Machine Learning Inference with BigQuery SQL

Modern data analysts need to extract predictive insights without the complexity of moving data across multiple platforms or learning complex programming languages. This text-only course guides you through performing machine learning inference directly inside BigQuery using standard SQL. You will transition from basic data querying to running predictive models, understanding how to evaluate model performance, and leveraging advanced features like generative AI integrations. What you'll learn: - Understand foundational machine learning concepts and how inference works within a data warehouse. - Create and train supervised and unsupervised models using standard SQL syntax. - Generate predictions on new datasets using the native prediction functions. - Evaluate model accuracy and performance using built-in validation metrics. - Apply remote models and modern generative AI functions for text-based inference tasks. - Design efficient SQL queries that structure your data correctly for machine learning. The course starts with essential terminology and data preparation principles before moving into practical SQL-based model training, evaluation, and modern inference techniques. It is designed for data analysts and SQL users who want to step into machine learning without needing deep programming knowledge, requiring no prior ML experience. Start reading today to unlock predictive power directly within your SQL workspace.