AI and Machine Learning Foundations
What this course is
Your starting point. You’ll learn what AI and machine learning actually are, and aren’t, and where they already show up in business, marketing, education, and healthcare. You’ll trace how the field got here, sort the different kinds of AI from one another, and get a working grasp of how machines learn from data.
Then you’ll get hands-on with AI-powered tools and learn to judge them: what they’re good at, where they fail, and what responsible use looks like in a real workplace. By the end you can make a defensible call about whether a tool belongs in a process, and use it well when it does.
Catalog description
Introduces foundational AI and ML principles for workplace application in business, marketing, education, and healthcare. AI history, types of AI, machine learning basics, real-world applications, ethical considerations. Students analyze AI-powered tools and develop skills in evaluating AI technologies for responsible, effective professional use.
- Evaluate foundational AI/ML concepts, applications and ethics to make appropriate decisions for use.
- Utilize AI-powered tools to assess, optimize and enhance workplace processes.
What you'll build
- 1An AI tool evaluationPick a tool your workplace could use, test it against a real task, and write up whether it's worth adopting.
- 2A bias and privacy auditTrace one AI system's data, decisions, and blind spots, and what you'd change.
- 3A responsible-AI integration planA short, defensible proposal for bringing AI into a team or organization.
Tools you'll use
No-code and low-code tools. The exact list is set by the instructor each term.