This course introduces the artificial intelligence (AI) and machine learning (ML) offerings on Google Cloud that support the data-to-AI lifecycle through AIfoundations, AI development, and AI solutions. It explores the technologies, products, and tools available to build an ML model, an ML pipeline, and a generative AI project. You learn how to build AutoML models without writing a single line of code; build BigQuery ML models using SQL, and build Vertex AI custom training jobs by using Keras and TensorFlow. You also explore data preprocessing techniques and feature engineering. Who is this training for? This course is intended for the following: Aspiring ML data scientists and engineersData scientists, ML developers, ML engineers, data engineers, data analystsGoogle and partner field personnel who work with customers in those job roles Products Vertex AIAutoMLBigQuery MLVertex AI PipelinesTensorFlowModel GardenGenerative AI StudioLarge language model (LLM) APIsNatural Language APIVertex AI WorkbenchVertex AI Feature StoreVizierDataplexAnalytics HubData CatalogTensorFlowVertex AI TensorBoardDataflowDataprepVertex AI Pipelines