AI solutions don’t appear out of thin air. They’re the result of well-designed workflows that bring clarity to complex challenges. Whether it’s personalizing customer experiences or detecting fraud, the structure behind AI is what makes it effective.
In this course, you’ll break down the AI workflow into two key phases: development and deployment. You’ll learn how to define problems, prepare data, train and test models, and move them into real-world use. Real examples from industries like healthcare and logistics bring the concepts to life and show how these workflows translate into measurable impact.
Join us to gain a working understanding of AI workflows and how to apply them where it matters most—your work.
