From the course: AI Evaluations for Product Leaders and AI PMs
Next steps: Implementing and iterating on evals
From the course: AI Evaluations for Product Leaders and AI PMs
Next steps: Implementing and iterating on evals
Congratulations, you finished this course. And at this point, you know how to build AI products, and how to actually evaluate them, what metrics and dimensions really matter. And how to define filler modes, and use evals to improve your product. And how to create a process so your whole team can work on evals together. But Aman, let's be honest, you're not done yet. The next step of your journey involves actually applying this in your own product, and bringing your team along with you. If you want to go deeper, We've created a list of resources for you. You'll find them in the exercise files below. And if you'd like to see more from Chantal, follow her posts on LinkedIn, where she helps execs up-level, and her newsletter, Zero to AI. Thank you, Aman. And if you're an AI product leader, follow Aman on LinkedIn, and his newsletter, AI Product Playbook. Link in the resources below. We can't wait to see what AI product evals you'll ship. And as always, just feel free to message us. We're just a DM away on LinkedIn. Best of luck. Best of luck, and see you around.
Practice while you learn with exercise files
Download the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.