Build and Deploy Custom AI Predictive Models


In this session you will learn how to build and deploy your own AI Models.
For the session we will be using AutoAI, a graphical tool that analyses your dataset and discovers data transformations, algorithms, and parameter settings that work best for your problem setting.

Using AutoAI, you can build and deploy a machine learning model with sophisticated training features and no coding.

We will use some public datasets to build and deploy two different model pipelines, and analyse each of these models.


Yamini Rao is a Developer Advocate for IBM, focusing on Data Science and AI. She compiles developer scenarios, workshops and training material based on IBM Cloud technologies. She works with local developer communities, presenting workshops and organising meetups and conferences.
She has a background in computer science and has worked extensively as an Implementation Engineer for various IBM Analytical tools.