Google Cloud Platform Big Data & Machine Learning Fundamentals

This course teaches participants the following skills:

• 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.

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.

This class is intended for the following:

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

• Instructor-led, instructor-led online

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

Module 1: Introducing Google Cloud Platform
Module 2: Compute and Storage Fundamentals
Module 3: Data Analytics on the Cloud
Module 4: Scaling Data Analysis
Module 5: Machine Learning
Module 6: Data Processing Architectures
Module 7: Summary