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Google Cloud Big Data and Machine Learning Fundamentals

  • Tuition USD $575 GSA  $471.03
  • Reviews star_rate star_rate star_rate star_rate star_half 346 Ratings
  • Course Code GCP-BD-ML
  • Duration 1 day
  • Available Formats Classroom, Virtual

This one-day instructor-led course introduces participants to the big data capabilities of Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants get an overview of the Google Cloud 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.

Skills Gained

This course teaches participants the following skills:

  • Identify the purpose and value of the key Big Data and Machine Learning products on Google Cloud.
  • Use Cloud SQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud.
  • 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 Google Cloud.

Who Can Benefit

This class is intended for the following:

  • 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, visualizing query results and creating reports.
  • Executives and IT decision makers evaluating Google Cloud for use by data scientists.

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.

Course Details

The course includes presentations, demonstrations, and hands-on labs.

Course Outline

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

How do I enroll?

A comprehensive listing of ExitCertified courses can be found here. You can register directly for the required course/location when you select "register". If you have any questions or prefer to speak with an ExitCertified education consultant directly, please submit your query here. A representative will contact you shortly.

How do I pay for a class?

You can pay at the time of registration using credit card (Mastercard/Visa/American Express) cheque or PO.

What if I have training credits?

ExitCertified honors all savings programs from the partners we work with. ExitCertified also offers training credits across multiple partners through our FLEX Account.

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Lunchtime?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

The software installation instructions needs to be more clear. We spent a lot time on installing and setting up the environment.

Thank you for the opportunity which let me enjoy the Core Spring class. Looking forward for more classes

Course Material was well presented and labs were interesting and hand on experience

Well-executed course. I had to wait for the last minute to register for the course because of my org – their staff contacted me to ensure that I had a webcam and headset because they wouldn't be able to send me that in time for the start of class the next morning. They overnighted the webcam and headset and it arrived in the afternoon. It was not necessary but very much appreciated! The course was great and the instructor was a pro!

ExcitCertified(Tech Data) was great and I enjoyed my experience with them. Looking forward to taking more courses with them!

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  • Aug 14, 2020 Aug 14, 2020 (1 day)
    Location
    iMVP
    Language
    English
    Time
    9:00AM 6:00PM EDT
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  • Nov 6, 2020 Nov 6, 2020 (1 day)
    Location
    MVP San Francisco, CA
    Language
    English
    Time
    8:00AM 5:00PM PST
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  • Nov 6, 2020 Nov 6, 2020 (1 day)
    Location
    iMVP
    Language
    English
    Time
    11:00AM 8:00PM EST
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