Cloud Data Engineering: From Big Data to Machine Learning

Ready to step into the world of large-scale data processing but unsure where to begin? This course provides a clear path to understanding how modern data systems are built and managed on a major cloud platform. You will gain the foundational skills to ingest, process, and analyze massive datasets. By the end, you'll be able to design robust data pipelines, query petabyte-scale data warehouses, and train your first machine learning models, transforming raw data into valuable insights. What you'll learn: - Understand the core concepts of data engineering, from data lakes to data warehouses like BigQuery. - Build streaming and batch data pipelines using services like Dataflow and Pub/Sub. - Practice orchestrating complex data workflows with Cloud Composer. - Master querying and analyzing large datasets with SQL in a cloud data warehouse. - Create and deploy machine learning models using the unified Vertex AI platform. - Apply foundational prompt engineering techniques with modern generative AI models. - Learn the basics of managing infrastructure as code for repeatable data setups. The course starts with fundamental cloud data terminology before moving into practical lessons on data ingestion, transformation, storage, and analysis, culminating in real-world machine learning applications. This course is designed for absolute beginners. No prior experience in data engineering or cloud platforms is required to get started. Begin your journey into the world of cloud data today.