Google Cloud Big Data & Machine Learning Fundamentals Training

Live Online & Classroom Enterprise Certification Training

This course will introduce you to Google Cloud's big data and machine learning functions. You'll begin with a quick overview of Google Cloud and then dive deeper into its data processing capabilities.

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Authorized Courseware
Completion Certificate from ATP

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CloudLabs
24x7 Support
Real-time code analysis and feedback

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

What are the objectives of Google Cloud Big Data & Machine Learning Fundamentals Certification Training ?

Identify the purpose and value of the key Big Data and Machine Learning products in Google Cloud.
Use Cloud SQL and Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud.
Employ BigQuery and Cloud SQL to carry out interactive data analysis.
Choose between different data processing products in Google Cloud.
Create ML models with BigQuery ML, ML APIs, and AutoML.

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

Data analysts, data scientists, and business analysts who are 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.

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

Roughly one year of experience with one or more of the following:

A common query language such as SQL.
Extract, transform and load activities.
Data modeling.
Machine learning and/or statistics.
Programming in Python.

Available Training Modes

Live Online Training

8 Hours

Course Outline Expand All

Expand All

Module 1: Introducing Google Cloud Platform

Google Platform Fundamentals Overview.

Google Cloud Platform Big Data Products.

Lab: Sign up for Google Cloud Platform.

Module 2: Compute and Storage Fundamentals

CPUs on demand (Compute Engine).

A global file system (Cloud Storage).

Cloud Shell.

Lab: Set up an 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 a 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 Big Data & Machine Learning Fundamentals Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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