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Google Cloud

Google Cloud Big Data and Machine Learning Fundamentals

Google Cloud and Google via Coursera

Overview

This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.

Syllabus

  • Course Introduction
    • This section welcomes learners to the Big Data and Machine Learning Fundamentals course, and provides an overview of the course structure and goals.
  • Big Data and Machine Learning on Google Cloud
    • This section explores the key components of Google Cloud's infrastructure. It's here that we introduce many of the big data and machine learning products and services that support the data-to AI lifecycle on Google Cloud.
  • Data Engineering for Streaming Data
    • This section introduces Google Cloud's solution to managing streaming data. It examines an end-to-end pipeline, including data ingestion with Pub/Sub, data processing with Dataflow, and data visualization with Looker and Data Studio.
  • Big Data with BigQuery
    • This section introduces learners to BigQuery, Google's fully-managed, serverless data warehouse. It also explores BigQuery ML, and the processes and key commands that are used to build custom machine learning models.
  • Machine Learning Options on Google Cloud
    • This section explores four different options to build machine learning models on Google Cloud. It also introduces Vertex AI, Google's unified platform for building and managing the lifecycle of ML projects.
  • The Machine Learning Workflow with Vertex AI
    • This section focuses on the three key phases--data preparation, model training, and model preparation--of the machine learning workflow in Vertex AI. Learners get the opportunity to practice building a machine learning model with AutoML.
  • Course Summary
    • This section reviews the topics covered in the course, and provides additional resources for further learning.

Taught by

Google Cloud Training

Reviews

3.2 rating, based on 4 Class Central reviews

4.7 rating at Coursera based on 15298 ratings

Start your review of Google Cloud Big Data and Machine Learning Fundamentals

  • Profile image for Gaurab Shrestha
    Gaurab Shrestha
    great course for the people who are trying to shift the career in the new emerging field. It forms the basis background to dive down further for your research in future.
  • Y. N. completed this course, spending 5 hours a week on it and found the course difficulty to be easy.

    This course materials and in particular its organization were very deceptive. Google Cloud platform looks like a great platform, but the tutorials and examples are no different from what you'd fine by opening a free account at Google Cloud platform.
  • Profile image for Steven Black
    Steven Black

    Steven Black is taking this course right now, spending 4 hours a week on it and found the course difficulty to be easy.

    I Like the instructor and the course is interesting but all the assessments are quiz-based. I would've like to see more creativity in the assessments.
  • Namil Kim

    Namil Kim completed this course.

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