Smart Analytics and Machine Learning with Vertex AI and BigQuery

Organizations today must extract actionable insights from vast amounts of data using automated intelligence to stay competitive. This course provides a clear path for integrating machine learning directly into your data workflows, moving from raw information to sophisticated predictive models. You will learn to bridge the gap between data engineering and artificial intelligence by leveraging managed cloud services. By reading through practical explanations and code-based examples, you will transform how you handle data pipelines and model deployment. What you'll learn: - Understand foundational AI and machine learning terminology and core concepts - Build automated models using AutoML for rapid deployment with minimal code - Apply SQL-based machine learning techniques using BigQuery ML - Configure production-ready environments and workflows using Vertex AI - Practice integrating machine learning models into existing data pipelines - Understand modern AI patterns including retrieval-augmented generation and prompt engineering The course begins with essential terminology and data concepts before moving into practical applications using managed services and custom notebook environments. You will progress from basic automation to deploying scalable, production-grade AI solutions through written explanations and structured exercises. This course is designed for beginners in data science, analytics, or engineering who want to leverage cloud tools for AI; no prior machine learning background is required. Begin your journey into cloud-based machine learning and smart analytics.