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Google

Modernizing Retail and Ecommerce Solutions with Google Cloud

Google via Google Cloud Skills Boost

Overview

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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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