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Cloud OnBoard

Start_Training () {

Learn how to Predict
What’s Next
with Google

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Cloud OnBoard Big Data and Machine Learning is a free, full-day training event that will provide you with a detailed view of Google Cloud Platform's data processing and machine learning capabilities. Through a combination of instructor-led presentations and demos, you will learn how to leverage the ease, flexibility, and power of data and machine learning tools like Cloud Dataproc, Dataflow, Machine Learning APIs, Tensorflow and BigQuery.

Who should attend this event?

The topics that will be discussed at Cloud OnBoard Big Data and Machine Learning are best-suited for data analysts, data scientists and business analysts.

This event will provide powerful insights if you’re 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

In order to get the most out of this event, you should have:

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

AGENDA();

Course_Outline () {

Google Cloud Platform Fundamentals: Big Data and Machine Learning

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Schedules () {
09.00 AM - 06.00 PM
Registration
  • Google Cloud Platform Fundamentals Overview
  • Google Cloud Platform Big Data Products
  • CPUs on demand (Compute Engine)
  • A global filesystem (Cloud Storage)
  • CloudShell
Lunch
  • Stepping-stones to the cloud
  • Cloud SQL: your SQL database on the cloud
  • Spark on Dataproc
  • Fast Random access
  • Datalab
  • BigQuery
Break
 
  • Machine Learning with TensorFlow
  • Pre-built models for common needs
  • Message-oriented architectures with Pub/Sub
  • Creating pipelines with Dataflow
  • Reference architecture for real-time and batch data processing
  • Why GCP?
  • Where to go from here
  • Additional Resources
}

FAQ_Big_Data();

What does GCP Big Data and Machine Learning Fundamentals cover?

At this event, you’ll get valuable insights into:

  • The Google Cloud Platform
  • Data analysis in the cloud
  • Machine learning
  • Data processing architecture

Who should attend GCP Big Data and Machine Learning Fundamentals?

  • Data analysts, Data scientists or Business analysts who are getting started with GCP
  • Individuals who are responsible for designing pipelines and architectures for data processing
  • Individuals who create and maintain machine learning and statistical models
  • Individuals who query datasets, visualize query results and create reports

To get the most out of this event, you should have a basic understanding of coding languages, such as Python, and familiarity with SQL.

Here are the answers to questions you may have:

If I attended Core Infrastructure Fundamentals, should I also attend the Big Data and Machine Learning Fundamentals?

The morning will seem familiar, but after lunch, we’ll dive deeply into topics such as data analysis on the cloud, machine learning and data processing architecture. You can always join us for lunch and then stay for the in-depth afternoon training.

Do I get certified on Google Cloud Platform if I attend the full-day training?

No, but we will help you on your journey towards getting certified. Also, at day’s end, we’ll give you a signed Certificate of Participation and a Cloud OnBoard t-shirt. You will also get free access to Qwiklabs so that you can practice the skills you learned during OnBoard.

LOCATIONS();

Cloud OnBoard | United States and Canada

Find your location for the next Cloud OnBoard session

Google Cloud Platform Fundamentals: Big Data and Machine Learning
November 14 Toronto
TIFF Bell Lightbox
350 King Street W,
Toronto, ON M5V 3X5
Stay Tuned for More 2018 Dates & Locations!

Registration closed;

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Thank You


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