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Google Cloud Big Data and Machine Learning Fundamentals Training Course | CourseMonster

  • CMDBID 113831
  • Course Code GCPFBDML
  • Duration 1 Days
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Google Cloud Course

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Overview

Google Cloud Big Data and Machine Learning Fundamentalsis a practical training course for teams that need structured, instructor-led skills in Google Cloud Big Data, Machine Learning Fundamentals Session, Welcome Facility Logistics. CourseMonster has rewritten this summary to make the page clearer for learners, managers and search engines while preserving the key learning outcomes.

This one-day instructor-led course introduces participants to the big data capabilities of Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants get an overview of the Google Cloud platform and a detailed view of the data processing and machine learning capabilities. This course showcases the ease, flexibility, and power of big data solutions on Google Cloud Platform.

Target Audience

  • Data analysts, Data scientists, Business analysts getting started with Google Cloud Platform.
  • Individuals responsible for designing pipelines and architectures for data processing, creating and maintaining machine learning and statistical models, querying datasets, visualizing query results and creating reports.
  • Executives and IT decision makers evaluating Google Cloud Platform for use by data scientists.
. Explore more AI traininghere

Useful links: Google Cloud training | Cloud Computing training at CourseMonster | CourseMonster course page

CourseMonster SEO course note: Google Cloud Big Data and Machine Learning Fundamentals Training Course | CourseMonster has been positioned as a practical Google Cloud learning pathway for teams that need searchable, role-based training outcomes rather than a generic course description. The page now highlights Google, Cloud, Big, Data, Machine, certification readiness, workplace application and visible next-step links so learners can compare this course with related CourseMonster programmes.The course is listed as 1 day(s), making it suitable for structured team scheduling.It is especially relevant for data analysts getting started with google cloud platform data scientists getting started with google cloud platform business analysts getting started with google cloud platform individuals responsible for designing pipel

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Browse the vendor/category pathway: Google Cloud training courses on CourseMonster

Audience

  • Data analysts getting started with Google Cloud Platform
  • Data scientists getting started with Google Cloud Platform
  • Business analysts getting started with Google Cloud Platform
  • Individuals responsible for designing pipelines and architectures for data processing, creating and maintaining machine learning and statistical models, querying datasets, visualizing query results and creating reports
  • Executives and IT decision makers evaluating Google Cloud Platform for use by data scientists

Skills Gained

  • Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform.
  • Use Cloud SQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform.
  • Employ BigQuery and Cloud Datalab to carry out interactive data analysis.
  • Train and use a neural network using TensorFlow.
  • Employ ML APIs.
  • Choose between different data processing products on the Google Cloud Platform.

Useful links: Google Cloud training | Cloud Computing training at CourseMonster | CourseMonster course page

Additional workplace outcomes: Participants can explain where Google Cloud Big Data and Machine Learning Fundamentals Training Course | CourseMonster fits in a wider Google Cloud skills roadmap, identify related certifications or follow-on courses, and apply the concepts to real project, operations or service delivery scenarios.

Prerequisites

To get the most of out of this course, participants should have:

  • Basic proficiency with common query language such as SQL.
  • Experience with data modeling, extract, transform, load activities.
  • Developing applications using a common programming language such Python.
  • Familiarity with machine learning and/or statistics.

Outline

Session 1

Welcome

  1. Facility Logistics

1 Introduction to Google Cloud Platform

  • Google Cloud Platform infrastructure and big data products
  • Demo: BigQuery Github query
  • The different data roles in an organization
  • What you can do with GCP
  • Activity: Explore a customer use case
  • Lab 1: Exploring a Public Dataset with BigQuery

2 Product Recommendations using Cloud SQL and Spark

  • Compare Google Cloud Big Data products and services
  • Managed Hadoop in the cloud
  • Demo: Creating a Cluster
  • Your SQL database in the cloud
  • Lab 2: Product Recommendation using Cloud SQL and Spark

3 Predicting Visitor Purchases using BigQuery Machine Learning

  • Introduction to BigQuery
  • Fast SQL Query Engine
  • Managed Storage for Datasets
  • Demo: Google Sheets to BQ
  • Insights from Geographic data
  • Demo: BigQuery ML
  • Creating ML models with SQL w/BigQuery ML
  • Lab 3: Predicting Visitor Purchases BigQuery ML

Session 2

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

  • Introduction
  • Message-oriented architectures
  • Serverless data pipelines
  • Data Visualization w/Data Studio
  • Lab 4: Real-time Dashboards with Pub/Sub, Dataflow, and Data Studio

5 Deriving Insights from Unstructured Data using Machine Learning

  • Introduction to Machine Learning
  • Pre-built ML models
  • Demo: Cloud Vision API
  • Codeless ML with AutoML
  • Lab 5: Classify Images using AutoML

6 Summary

  • Recap of lesson
. Explore more AI traininghere

Useful links: Google Cloud training | Cloud Computing training at CourseMonster | CourseMonster course page

Suggested learning path: After this course, compare related options via the links in the overview and the Google Cloud training category.

Certification

Exam and certification details

This course may support a vendor exam, digital badge or professional certification depending on the selected delivery option. Delegates should confirm exam inclusion, voucher availability, prerequisites, pass mark and version before booking.

Official vendor training information: Google Cloud training.

What will I learn in the Google Cloud Big Data and Machine Learning Fundamentals training course?

You will learn the core concepts of Google Cloud Big Data, Machine Learning Fundamentals Session, Welcome Facility Logistics, how they apply in real workplace situations, and how to use the course outcomes to improve team capability.

Is Google Cloud Big Data and Machine Learning Fundamentals suitable for beginners or experienced professionals?

It is suitable for learners who need structured training in Google Cloud Big Data, with prerequisites depending on the course level, vendor pathway and any certification requirements.

Does the Google Cloud Big Data and Machine Learning Fundamentals course help with certification or exam preparation?

The course includes exam-focused guidance where the vendor certification is applicable; check the exam section and the visible official vendor link for the latest exam code, format and syllabus.

What should I study after Google Cloud Big Data and Machine Learning Fundamentals Training Course | CourseMonster?

A common next step is to compare related CourseMonster courses in the Google Cloud pathway. See visible links on this page, including https://www.coursemonster.com/training-courses/google-cloud, to choose the most relevant follow-on course.

Talk to an expert

Thinking about Onsite?

If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. Its a cost effective option. One on one training can be delivered too, at reasonable rates.

Submit an enquiry from any page on this site and let us know you are interested in the requirements box, or simply mention it when we contact you.

All $ prices are in USD unless it’s a NZ or AU date

SPVC = Self Paced Virtual Class

LVC = Live Virtual Class

Please Note: All courses are availaible as Live Virtual Classes

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