Google Cloud Platform Big Data and Machine Learning Fundamentals Training

Live Online & Classroom Enterprise Certification Training

This course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP).

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Certified Trainer
Authorized Courseware
Completion Certificate from ATP

Enterprise Reporting
Lifetime Access
CloudLabs
24x7 Support
Real-time code analysis and feedback

What is Google Cloud Platform Big Data and Machine Learning Fundamentals Certification Training about?

It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities. The course includes presentations, demonstrations, and hands-on labs.

Who is Google Cloud Platform Big Data and Machine Learning Fundamentals Certification Training for?

What are the prerequisites for Google Cloud Platform Big Data and Machine Learning Fundamentals Certification Training?

Before enrolling in this course, participants should have roughly one (1) year of experience with one or more of the following - A common query language such as SQL Extract, transform, load activities Data modeling Machine learning and/or statistics Programming in Python

Available Training Modes

Live Online Training

6 Hours

Classroom Training

1 Days

Course Outline Expand All

Expand All

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

Who is the instructor for this training?

The trainer for this Google Cloud Platform training has extensive experience in this domain, including years of experience training & mentoring professionals.

Google Cloud Platform Big Data and Machine Learning Fundamentals Certification Training - Certification & Exam

SpringPeople is the Authorized Training Partner of Google Cloud Platform
The training fees is exclusive of exam cost.
For any queries; feel free to reach us at gcp@springpeople.com

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