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Home Google Cloud Data & Machine Learning Data Engineer Track Google Cloud Platform Fundamentals: Big Data & Machine Learning

Google Cloud Platform Fundamentals: Big Data & Machine Learning

Want to understand the big data capabilities of the Google Cloud Platform? This one-day course is the first step towards the Google machine learning certification.

1 day course

Supporting material

Virtual, Private

Virtual Classroom

A convenient and interactive learning experience, that enables you to attend on of our courses from the comfort of your own home or anywhere you can log on. We offer Virtual Classroom on selected live classroom courses where this will appear as an option under the location drop down if available. These can also be booked as Private Virtual Classrooms for exclusive business sessions.

Private

A private training session for your team. Groups can be of any size, at a location of your choice including our training centres.

As a Google Cloud Partner, we’ll help equip you with the skills to process data efficiently and effectively to scale, using a range of specially designed Google Products on the Google Cloud Platform.

Jellyfish has been selected by Google to facilitate the delivery of this one-day instructor led course. All of our trainers are experienced practitioners, so you can learn with total confidence.

Through expert guidance and practical labs, you’ll gain 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.

This Google Cloud Platform Fundamentals: Big Data & Machine Learning course is offered as a private training session and can be delivered at our own training venue in the World Trade Center, Barcelona, any location of your choice or via Virtual Classroom.

Course overview

Who should attend:

This course is intended for the following participants:

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, visualising query results and creating reports
Executives and IT decision makers evaluating Google Cloud Platform for use by data scientists

Walk away with the ability to:

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

Prerequisites

To get the most of out of this course, you 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

Course agenda

Module 1: Introducing Google Cloud Platform

Google Platform Fundamentals Overview
Google Cloud Platform Big Data Products

Module 2: Compute and Storage Fundamentals

CPUs on demand (Compute Engine)
A global filesystem (Cloud Storage)
CloudShell
Lab: Set up a Ingest-Transform-Publish data processing pipeline

Module 3: Data Analytics on the Cloud

Stepping-stones to the cloud
Cloud SQL: your SQL database on the cloud
Lab: Importing data into CloudSQL and running queries
Spark on Dataproc
Lab: Machine Learning Recommendations with Spark on Dataproc

Module 4: Scaling Data Analysis

Fast random access
Datalab
BigQuery
Lab: Build machine learning dataset

Module 5: Machine Learning

Machine Learning with TensorFlow
Lab: Carry out ML with TensorFlow
Pre-built models for common needs
Lab: Employ ML APIs

Module 6: Data Processing Architectures

Message-oriented architectures with Pub/Sub
Creating pipelines with Dataflow
Reference architecture for real-time and batch data processing

Module 7: Summary

Why GCP?
Where to go from here
Additional Resources

Book this course

Call our sales team today

932207615

Other options available

Virtual Classrooms

Our virtual classroom solution allows attendees from anywhere in the world to come together for a fully bespoke and customised training session without anyone having to leave their office.

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Enterprise Solutions

Whether you employ ten or ten thousand employees, our enterprise training solutions can be designed to suit your organisations learning needs.