Welcome to the ultimate crash course on Machine Learning (ML) using Google Cloud . Whether you are a developer looking to integrate pre-trained models, a data scientist training custom neural networks, or a tech lead figuring out how your company can scale AI, Google Cloud Platform (GCP) offers one of the most robust ecosystems available. The landscape is shifting rapidly — we are moving beyond simple generative chatbots into the era of Agentic AI , where intelligent systems take action to solve complex business problems. In this course-style guide, we will break down the GCP machine learning stack from the ground up. Module 1: The Foundation — Data & BigQuery ML You cannot build reliable ML models without excellent data architecture. Google Cloud understands this, which is why their ML journey often begins in the data warehouse. What is BigQuery ML? BigQuery is Google’s fully managed, serverless enterprise data warehouse.…