Quickly Build and Train Machine Learning Models with IBM AutoAI W7L155G

This course is designed for data analysts, data scientists, and machine learning specialists.

• Set up an IBM Cloud Account and project and add and manage associated resources
• Identify potential machine learning use cases applicable to AutoAI
• Differentiate problem types relevant for AutoAI experiments (Classification, Regression, Time Series)
• Configure settings for various AutoAI experiments
• Evaluate pipelines and models that are produced by AutoAI experiments
• Recognize deployment strategies for AutoAI models

• IBM Cloud access
• Knowledge of supervised machine learning use cases
• Knowledge of Python code in notebook environments
• Basic knowledge of machine learning evaluation metrics

• Course introduction
• Introducing IBM Cloud
• What is AutoAI?
• Machine learning with AutoAI: Classification
• Machine learning with AutoAI: Regression
• AutoAI deployments at a glance
• Machine learning with AutoAI: Time series
• Fairness evaluation in AutoAI machine learning models