AI Foundations

Register Today

What’s included

Weekly courses

Each course entails an hour-long live video session with our Head of School, Rahul Desai, in which you’ll have the opportunity to ask questions at the end. You’ll be assigned homework and will be tested to track your progress.

Learner collaboration

Throughout the course, you’ll be able to chat with other students to review and hone your work. This will also be an opportunity to grow in your collaboration and feedback skills.

End-of-course evaluation

After a course is completed, you’ll complete a final exam. Our Head of School, Rahul Desai, will relay your end of course evaluation, providing you a written retrospective on strengths, weaknesses and areas to improve.

Course Overview

This practical, hands-on course introduces employees to artificial intelligence fundamentals and applications relevant to their business. Participants will develop a working understanding of AI technologies, learn to identify opportunities for AI implementation in their roles, and gain practical skills for using AI tools.

Learning Objectives

By the end of this course, participants will be able to:

  • Explain basic AI concepts and terminology

  • Identify potential AI applications within their team or department

  • Use common AI tools relevant to their role

  • Collaborate effectively on AI initiatives across departments

Register Today

    • Historical context: From science fiction to business reality

    • Key terminology: AI, machine learning, deep learning, neural networks

    • Common misconceptions about AI capabilities

    • Current AI landscape and adoption in Ohio industries

    • Hands-on: Introduction to ChatGPT and other generative AI tools

    • Survey of AI applications across business functions

    • Case studies from Ohio companies successfully using AI

    • Cost-benefit considerations for AI implementation

    • Identifying opportunities in your department

    • Hands-on: Evaluating existing workflows for AI enhancement

    • Best practices for prompt engineering

    • Understanding AI limitations and handling errors

    • Data quality considerations

    • Reviewing and refining AI outputs

    • Hands-on: Crafting effective prompts for different use cases

    • Overview of accessible AI tools for non-technical users

    • Department-specific tool demonstrations

    • Integration capabilities with existing systems

    • Vendor selection considerations

    • Hands-on: Using AI assistants for routine tasks

    • Key ethical considerations in AI deployment

    • Data privacy regulations affecting Ohio businesses

    • Avoiding bias and ensuring fairness

    • Company policies for responsible AI use

    • Hands-on: Evaluating AI outputs for potential ethical issues

    • Developing an AI mindset for ongoing adaptation

    • Creating an action plan for your role/department

    • Collaboration strategies with technical teams

    • Continuous learning resources

    • Hands-on: Final project submissions