PMLE03: Pre-Trained APIs, BigQuery ML, AutoML & Custom Training Explained

In this video, we break down the core machine learning options available on Google Cloud: Pre-trained APIs, BigQuery ML, AutoML, and Custom training. Whether you are a software developer with no ML experience, a data analyst who wants to use SQL, or a data scientist building custom models, this guide will help you decide the right path based on your business needs, ML expertise, and budget. We also walk through multiple sample certification questions to help you test your knowledge and prepare for the real exam! 📌 What you'll learn in this video: Pre-Trained APIs: Learn how to save time and effort by using pre-built services like Cloud Vision, Natural Language API, and Speech-to-Text—no training data required! BigQuery ML: Discover how to execute ML initiatives, train models, and predict outcomes using standard SQL queries without ever moving your data. AutoML: See how Google's no-code solution allows you to automatically search through Google's whole model zoo to build custom ML models on Vertex AI. Custom Training & Vertex AI: Understand how to take full control of your ML workflow by defining custom coding environments (like Vertex AI Workbench) and leveraging libraries like TensorFlow, Scikit-learn, and PyTorch. Audio and image were generated by https://notebooklm.google