Google Cloud

Big Data and Machine Learning Fundamentals

7 hours
450,00 €
Classroom or Live Virtual Class
Classroom or Live Virtual Class

12 Nov 2021 - 12 Nov 2021   |  

Big Data and Machine Learning Fundamentals

7 h |   450 €    225.00 € Live Virtual Class | English
Friday (09:00h - 17:00h)
Calendario de sesiones



Big Data and Machine Learning Fundamentals is an instructor-led, one-day course that introduces participants to the big data capabilities of Google Cloud.

Through a combination of presentations, demos, and hands-on labs, participants will gain an overview of Google Cloud, as well as detailed information on data processing and machine learning capabilities.

Audience and prerequisites

This class is intended for the following participants:

  • Data analysts, data scientists, and business analysts just starting to use Google Cloud
  • People in charge of designing pipelines and architectures for data processing; the creation and maintenance of statistical and machine learning models; querying data sets; viewing query results and creating reports
  • IT executives and decision makers evaluating Google Cloud for use by data scientists

To get the most of out of this course, learners should have approximately one year of experience with one or more of the following topics:

  • A common query language, such as SQL
  • Activity extraction, transformation, and loading
  • Data modeling
  • Statistics or machine learning
  • Python programming


This course teaches participants the following skills:

  • Identify the purpose and value of Google Cloud products and services
  • Interact with Google Cloud services
  • Describe the ways customers have used Google Cloud
  • Use big data and ML products on Google Cloud: App Engine, Google Kubernetes Engine and Compute Engine
  • Use BigQuery, Google's managed data store for statistics


Module 1: Introduction to Google Cloud

  • Identify the different aspects of Google Cloud’s infrastructure.
  • Identify the big data and ML products that form Google Cloud.

Module 2: Recommending Products Using Cloud SQL and Spark

  • Review how businesses use recommendation models.
  • Evaluate how and where you will compute and store your housing rental model results.
  • Analyze how running Hadoop in the cloud with Dataproc can enable scale.
  • Evaluate different approaches for storing recommendation data off-cluster.

Module 3: Predicting Visitor Purchases Using BigQuery ML

  • Analyze big data at scale with BigQuery.
  • Learn how BigQuery processes queries and stores data at scale.
  • Walkthrough key ML terms: features, labels, training data.
  • Evaluate the different types of models for structured datasets.
  • Create custom ML models with BigQuery ML.

Module 4: Real-time Dashboards with Pub/Sub, Dataflow, and Google Data Studio

  • Identify modern data pipeline challenges and how to solve them at scale with Dataflow.
  • Design streaming pipelines with Apache Beam.
  • Build collaborative real-time dashboards with Data Studio.

Module 5: Deriving Insights from Unstructured Data Using Machine Learning

  • Evaluate how businesses use unstructured ML models and how the models work.
  • Choose the right approach for machine learning models between pre-built and custom.
  • Create a high-performing custom image classification model with no code using AutoML.

Module 6: Summary

  • Recap of key learning points.
  • Resources.

Open calls

12 Nov 2021 - 12 Nov 2021   |  

Big Data and Machine Learning Fundamentals

7 h |   450 €    225.00 € | Live Virtual Class | English
Friday (09:00h - 17:00h)
Calendario de sesiones