AI for Discovery
offered by U of T

Public University
3 Campuses
Estd. 1827

AI for Discovery
at
U of T
Overview

A comprehensive overview of AI for Discovery

Duration	25 hours
Total fee	₹12,467
Mode of learning	Online
Official Website	Go to Website
Course Level	UG Certificate

AI for Discovery

Table of content

Overview
Highlights
Course Details
Curriculum

AI for Discovery
at
U of T
Highlights

Certificate of completion

AI for Discovery
at
U of T
Course details

Skills you will learn

Python Data visualization Data Science

More about this course

Artificial intelligence and machine learning in a course geared toward chemistry and materials science
You’ll learn the fundamentals of data-driven modelling and experiment planning, including supervised learning, Bayesian optimization, multi-objective optimization and self-driving laboratories
You’ll cover numerical programming, data science and visualization, and machine-learning strategies for the design and discovery of molecules and materials
You’ll strengthen your Python skills to the point where you can devise code to operate a simple self-driving laboratory or materials-acceleration platform.

AI for Discovery
at
U of T
Curriculum

Differentiate between various machine learning strategies for the design and discovery of molecules and materials

Develop scientific programming skills in Python including numerical programming, data science, applied machine learning, plotting and visualization

Understand the core concepts of Bayesian optimization, specifically as it pertains to autonomous experimentation

Create and execute an optimization strategy for a self-driving laboratory or materials acceleration platform