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Google Cloud Big Data and Machine Learning Fundamentals

  • Length 1 day
  • Price $999 inc GST
Course overview
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Why study this course

This course introduces students to the big data and machine learning functions.

You’ll begin with a quick overview of Google Cloud and then dive deeper into its data processing capabilities.

Aligns to certification

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What you’ll learn

This course teaches participants the following skills:

  • Identify the purpose and value of the key Big Data and Machine Learning products in Google Cloud

  • Use Cloud SQL and Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud

  • Employ BigQuery and Cloud SQL to carry out interactive data analysis

  • Choose between different data processing products in Google Cloud

  • Create ML models with BigQuery ML, ML APIs, and AutoML

Google Cloud at DDLS

DDLS is Australia's only national Google Cloud Authorised Training Partner. Get the skills needed to build, test and deploy applications on this highly scalable infrastructure. Engineered to handle the most data-intensive work you can throw at it, DDLS can support you through training wherever you are in your Cloud adoption journey.

Stay ahead of the technology curve

Don’t let your tech outpace the skills of your people

Quality instructors and content

Expert instructors with real world experience and the latest vendor- approved in-depth course content.

Partner-Preferred Supplier

Chosen and awarded by the world’s leading vendors as preferred training partner.

Ahead of the technology curve

No matter your chosen technologies or platforms, we can help you stay one step ahead.

Who is the course for?

This course is intended for the following participants:

  • Data analysts, Data scientists, Business analysts getting started with Google Cloud

  • Individuals responsible for designing pipelines and architectures for data processing, creating and maintaining machine learning and statistical models, querying datasets, visualising query results and creating reports

  • Executives and IT decision makers evaluating Google Cloud for use by data scientists

Course subjects

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

  • Analyse 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

  • Analyse 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


Roughly one year of experience with one or more of the following:

  • A common query language such as SQL

  • Extract, transform, and load activities

  • Data modelling

  • Machine learning and/or statistics

  • Programming in Python

Terms & Conditions

The supply of this course by DDLS is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.

Request Course Information

By submitting an enquiry, you agree to our privacy policy and receiving email and other forms of communication from us. You can opt-out at any time.