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Google

Modernizing Retail and Ecommerce Solutions with Google Cloud

Google via Google Cloud Skills Boost

Overview

In this course, you will learn about the various services Google Cloud offers for modernizing retail applications and infrastructure. Through a series of lecture content and hands-on labs, you will gain practical experience deploying cutting-edge retail and ecommerce solutions on Google Cloud.

Syllabus

  • Google Cloud in the Retail and Ecommerce Industry
    • Module 1 Overview
    • Why Google Cloud for retail
    • Google Cloud retail solutions and services
    • Google Cloud AI and ML capabilities
    • Google Cloud integrations
    • Using Google Cloud for new priorities in retail
    • Using Google Cloud to solve for the future of retail
    • Customer story - Lowes
    • Case study - Carrefour
    • Module 1 Quiz
  • Deploying a Retail Application on Google Cloud
    • Module 2 Overview
    • Architecting an ecommerce application on Google Cloud
    • Compute Engine overview
    • Compute options
    • Common Compute Engine actions
    • Managed instance groups
    • Autoscaling and health checks
    • Overview of HTTP(S) load balancing
    • HTTP(S) load balancing
    • Hosting a Web App on Google Cloud Using Compute Engine
  • Scaling and Automating Retail Application Infrastructure
    • Module 3 Overview
    • Scaling and automating retail infrastructure
    • Introduction to Containers
    • Containers and Container Images
    • Introduction to Kubernetes
    • Introduction to Google Kubernetes Engine
    • Services and scaling
    • A note about Services
    • Kubernetes Deployments
    • Ways to Create Deployments
    • Managing Deployments
    • Updating Deployments
    • Blue-Green Deployments
    • Canary Deployments
    • Deploy, Scale, and Update Your Website on Google Kubernetes Engine
  • Managing and Analyzing Ecommerce Data
    • Module 4 Overview
    • Introduction to the Google Analytics ecommerce dataset
    • Common data exploration techniques
    • Query basics
    • Filters, aggregates, and duplicates
    • Data types, date functions, and NULLs
    • Ingesting New Datasets into BigQuery
  • Extracting, Transforming, and Loading Ecommerce Data
    • Module 5 Overview
    • Managing and extracting value from your retail and ecommerce data
    • Dataprep
    • Dataprep
    • Dataprep in the real world
    • Cleaning retail and marketing data with Cloud Dataprep
    • Introduction to lab 5
    • Exploring and Creating an Ecommerce Analytics Pipeline with Cloud Dataprep v1.5
  • Predicting Customer Behavior with Machine Learning on Google Cloud
    • Module 6 Overview
    • The importance of machine learning and AI for retail
    • Introduction to BigQuery ML
    • Training an ML model using BigQuery ML
    • BigQuery ML supported models
    • BigQuery ML hyperparameter tuning
    • Predict Visitor Purchases with a Classification Model in BigQuery ML
  • Your Next Steps
    • Course Badge

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