BigQuery ML Inference for Data Professionals

Many organizations want to leverage machine learning for predictions, but deploying and using models can seem complex. BigQuery ML offers a streamlined approach to integrate predictive capabilities directly into your data workflows. This course will equip you with the foundational knowledge and practical skills to perform machine learning inference directly within BigQuery, transforming your ability to derive actionable insights from data. What you'll learn: * Understand the core concepts of machine learning inference and its role in data analysis. * Learn to identify and prepare data for machine learning tasks within BigQuery. * Apply various BigQuery ML models for tasks like classification, regression, and time series forecasting. * Perform inference using trained models to generate predictions and insights. * Manage and monitor machine learning models within the BigQuery environment. * Explore modern applications of BigQuery ML, including basic prompt engineering for generative AI models. The course begins with essential machine learning principles and BigQuery ML fundamentals, then guides you through practical model application, inference execution, and basic model management techniques. This course is designed for data analysts, data scientists, and anyone new to machine learning in BigQuery who wants to apply predictive models without extensive programming. No prior machine learning experience is required. Begin your journey to integrate powerful machine learning capabilities into your data projects.