How Google does Machine Learning

• Course Series Preview
• Course introduction

• Introduction
• What is ML?
• What kinds of problems can it solve?
• Lab intro: Framing a machine learning problem
• Lab solutions: Framing a machine learning problem
• Infuse your apps with ML
• Build a data strategy around ML

• Resources: What It Means to Be AI First

• What it Means to be AI First

• Introduction
• ML Surprise
• The secret sauce
• ML and business processes
• The path to ML
• A closer look at the path
• End of phases deep dive

• Resources: How Google does ML

• How Google Does ML

• Introduction
• Moving from experimentation to production
• Components of Vertex AI
• Getting Started with Google Cloud Platform and Qwiklabs
• Lab intro: Using an image dataset to train an AutoML model
• Lab demo: Using an image dataset to train an AutoML model
• Lab intro: Training an AutoML video classification model 
• Lab demo: Training an AutoML video classification model 
• Tools to interact with Vertex AI

• Resources: Machine Learning Development with Vertex AI

• Machine Learning Development with Vertex AI

• Lab: Using an image dataset to train an AutoML model
• Lab: Training an AutoML video classification model

• Introduction
• Machine learning development with Vertex Notebooks
• (Optional) Lab intro: Vertex AI Model Builder SDK: Training and Making Predictions on an AutoML Model
• (Optional) Lab demo: Vertex AI Model Builder SDK: Training and Making Predictions on an AutoML Model

• Resources: Machine Learning Development with Vertex Notebooks

Machine Learning Development with Vertex Notebooks

• Introduction
• Best practices for machine learning development
• Data preprocessing best practices
• Best practices for machine learning environment setup

• Best Practices for Implementing Machine Learning on Vertex AI

• Introduction
• Overview
• Human biases lead to biases in ML models
• Biases in data
• Evaluating metrics with inclusion for your ML system
• Equality of opportunity
• How to find errors in your dataset using Facets

• Resources: Responsible AI Development

• Responsible AI Development

• Summary
• Resource: All quiz questions
• Resource: All readings
• Resource: All slides