AI is now part of daily workflows, and professionals who can direct it well are moving faster than those who can't. This masterclass gives you a concrete, repeatable method for getting useful output from AI instead of guessing at prompts.

In this course, you'll learn a practical mental model for how generative AI works and why context matters, along with a reusable prompt structure you can apply immediately to your own work.

By the end of this course, you'll be able to:

• Use a repeatable structure to build clear, effective prompts
• Provide examples and source material so AI outputs are specific and on-brand
• Spot common prompting failures and apply techniques to fix them
• Iterate toward better output rather than expecting a perfect first response

Whether you're refining your own AI workflow or helping your team build one, this course will give you a framework you can use right away.

Note: This class is designed for learners with some basic knowledge of generative AI and experience using generative AI tools. Access to ChatGPT or a similar AI platform is required for in-class activities.

More About Nick

Nick Cannariato is a solutions engineer at WorkOS, drawing on his experience at GitHub, Twilio, Heroku, and Anaconda across internal tools and GTM functions. He also maintains a focused consulting practice, where he builds automation for companies to help them scale operations without increasing headcount.