Designed for data professionals, this learning path provides a guide on leveraging BigQuery Machine Learning and Gemini models for advanced data analysis and predictive modeling. You will move beyond theory into practice, learning how to use AI for efficient code generation, troubleshooting, and workflow optimization directly within the Google Cloud console. By the end of this path, you will have applied these concepts in hands-on labs to build, evaluate, and deploy machine learning models that solve real-world business problems.

Applied Learning Project

The projects in this learning path consist of hands-on labs and technical quizzes where learners leverage BigQuery Machine Learning and Gemini models to perform advanced generative AI inference directly within a data warehouse environment. Through these practical exercises, learners will apply their skills to solve authentic industry problems, such as automating the classification of complex visual data for wildlife conservation, generating predictive customer segments for targeted marketing, and implementing multimodal RAG systems to streamline information extraction from dense financial documents.