Google Cloud: Big Data & Machine Learning Fundamentals

This class is being offered for FREE. Learn new big data and machine learning skills and get hands-on access to GCP projects with no costs and no risk!

This live instructor-led 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.

You will learn the following objectives:

• Recognize 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.

This course is ideally suited to:

• 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

Prerequisites:

Basic understanding of one or more of the following:

• Database query language such as SQL
• Data engineering workflow from extract, transform, load, to analysis, modeling, and deployment
• Machine learning models such as supervised versus unsupervised models

Appsbroker is the largest Google-only MSP partner in EMEA. To find out more about Appsbroker Academy see https://www.appsbroker.com/academy/