Google Cloud Big Data and Machine Learning Fundamentals

About this course

A one-day tour of data and AI on Google Cloud. You will follow the data-to-AI lifecycle, design streaming pipelines with Dataflow and Pub/Sub, analyse big data at scale with BigQuery, compare machine learning options and build a pipeline with AutoML on Vertex AI.

What you'll learn

• Identify the data-to-AI lifecycle on Google Cloud and the major products of big data and machine learning.
• Design streaming pipelines with Dataflow and Pub/Sub.
• Analyze big data at scale with BigQuery.
• Identify different options to build machine learning solutions on Google Cloud.
• Describe a machine learning workflow and the key steps with Vertex AI.
• Build a machine learning pipeline using AutoML.

Curriculum

Who it's for

Data professionals, developers and analysts new to Google Cloud.

Before you start

• 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.