Explore the Google Cloud Big Data and Machine Learning Fundamentals course, designed to provide a thorough understanding of the data-to-AI lifecycle on Google Cloud. This course delves into the processes, challenges, and benefits of constructing big data pipelines and machine learning models with Vertex AI.
Throughout the course, you will learn to identify the major products of big data and machine learning on Google Cloud. The modules cover designing streaming pipelines with Dataflow and Pub/Sub, as well as different options to build machine learning solutions. You will gain insights into the machine learning workflow, key steps with Vertex AI, and building a machine learning pipeline using AutoML.
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The course comprises seven modules that cover essential topics such as Google Cloud infrastructure, designing streaming pipelines, BigQuery, machine learning options on Google Cloud, and the machine learning workflow with Vertex AI.
The course introduction module provides an overview of the course and introduces the author. It also includes a reading list to help you prepare for the upcoming content. The module sets the stage for the comprehensive learning journey ahead.
The "Big Data and Machine Learning on Google Cloud" module explores the Google Cloud infrastructure, compute, storage, big data and machine learning product categories, and a customer example. Additionally, it offers a lab introduction and a quiz to reinforce learning.
The "Data Engineering for Streaming Data" module delves into big data challenges, message-oriented architecture, designing streaming pipelines, and visualization using Looker. It also provides a lab introduction and a quiz to apply the concepts learned.
Within the "Big Data with BigQuery" module, you will learn about storage and analytics, querying TB of data in seconds, and BigQuery ML. The module includes a lab introduction and a quiz, providing hands-on experience with BigQuery ML.
The "Machine Learning Options on Google Cloud" module covers various options to build machine learning models, including pre-built APIs, AutoML, custom training, Vertex AI, and AI solutions. It also includes a quiz to reinforce understanding.
The "The Machine Learning Workflow with Vertex AI" module delves into data preparation, model training, evaluation, deployment, and monitoring. It also includes a lab introduction and a quiz to apply the concepts learned in a hands-on setting.
The "Course Summary" module offers a concise summary of the entire course, wrapping up the key takeaways and learnings from the comprehensive journey through Google Cloud big data and machine learning fundamentals.
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