Online Training Schedule

Tuesday, May 19, 2026

Morning Session: 9 a.m. – 12:00 p.m. CST

Lunch: 12:00 p.m. – 1:00 p.m. CST

Afternoon Session: 1:00 p.m. – 5:00 p.m CST

Wednesday May 20, 2026

Morning Session: 9 a.m. – 12:00 p.m. CST

Lunch: 12:00 p.m. – 1:00 p.m. CST

Afternoon Session: 1:00 p.m. – 5:00 p.m. CST

Course Overview

The two-day course teaches business professionals how to use AI tools effectively in a practical, business-oriented manner. We start with a foundation on what modern AI can and can't do and how to "talk" to AI systems effectively to get useful answers. Participants will learn simple, repeatable patterns for writing good prompts, checking AI output, and avoiding common pitfalls, and non-technical language is used to focus on everyday business tasks such as summarizing documents, drafting emails, analyzing data in plain English, and preparing presentations.

From there, the course moves to real business use cases and hands-on practice, where participants will apply AI to their own work, creating analyses, improving communication, and exploring ideas more quickly and more systematically, and we also cover how to add context safely, such as using internal documents or data, so that AI output is accurate and relevant to their organization. By the end of the course, participants will be able to confidently use AI tools, as well as identify opportunities to use AI to improve workflows, decisions, and productivity within their teams.

Who should attend?

This course is designed for business professionals to apply AI in their real work right away, regardless of their background in AI or coding, and it is targeted for managers, analysts, consultants, and staff working in operations, strategy, finance, marketing, healthcare, and other departments who work with documents, slides, and data and want to make their work more efficient and better with AI.

About the Instructor

Mohammadhossein (Hossein) Amini is a data scientist and data analyst with extensive experience in Data Science, Machine learning, Big Data Analytics, Natural Language Processing, and Data Visualization. Hossein is a graduate researcher with a Doctor of Philosophy (Ph.D.) from Kansas State University, working on the application of machine learning in the healthcare and manufacturing industries. Hossein currently teaches SQL (DAT 5564), Data Visualization (DAT 5563), and Big Data Analytics (DAT 5566) to graduate students at Olin Business School.

Instructor’s Area of Expertise

Decision Analysis, Information Technology, Innovation and Growth, Simulation Modeling, Statistics/Econometrics

Program Location

Zoom: A link will be sent, after attendee registers for the course.

Cost to Attend?

$1,995

 

Questions?

Katie Cannady

Program Manager for the Center for Analytics and Business Insights (CABI) and Olin Events Specialist 

Olin Business School | Washington University in St. Louis
Phone: 314-935-3453 | Email: k.cannady@wustl.edu