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.
Overview
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