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AI Product Evaluation 101
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Things You'll Get From This Course
Clarity
Methods & Tools
Practical Experience
Confident Decision-making
Andrew Hines is the founder of Canvas Medical, where he has spent the past decade building modern electronic medical record and developer platforms used by leading healthcare organizations across all specialties and care models. His work focuses on safely accelerating AI adoption in care delivery and advancing rigorous, scalable methods for evaluating AI-powered tools for that purpose.
Andrew holds degrees in Mathematical Statistics and Business Administration from San Francisco State University and a master’s in Management Science and Engineering from Stanford University. He brings a unique perspective at the intersection of technology, healthcare, and product evaluation, making complex AI capabilities safe and useful in practice.
Course Syllabus & Schedule
Module 1
Day 1
Impact and Core Concepts
10/28, 12-130 PM EST
Module 2
Day 2
Tools and Methods
10/29, 12-130 PM EST
Module 3
Day 3
Evaluate, Improve, Repeat
10/30, 12-130 PM EST
Module 4
Day 4
Module 5
Day 5
Module 6
Day 6
Module 7
Day 7
Module 8
Day 8
Module 9
Day 9
Module 10
Day 10
Frequently Asked Questions
Who is this course for?
If you’re buying, selling, or building AI in healthcare, this is for you. Product managers, clinicians, engineers, buyers, investors — basically anyone tired of getting dazzled by a slick demo and then burned later.
Do I need to know how to code?
Strictly speaking, no — you can follow along without writing a line of code. But let’s be honest: if you’re in healthcare tech in 2025 and you can’t at least open a notebook or run a script, you’re handicapping yourself. Some software comfort will help you get more from the hands-on bits.
What will I actually walk away with?
A working set of tools, mental models, and battle scars (borrowed from ours) to evaluate AI products without falling for hype. You’ll know which methods to use, how to spot garbage claims, and how to make confident decisions when vendors or your own team are pitching “AI magic.”
Three live, online sessions packed with demos, stories, and interactive exercises. We’ll also bring in guest experts who’ve shipped and tested AI in the wild. Miss a session? Recordings will be available, but the real fun is live.
How much time should I plan to commit?
Each session is about 90 minutes, with optional exercises between. Think 5–6 hours total — less time than a bad Netflix binge, and infinitely more useful to your career.
Will this make me an AI expert overnight?
Nope. But you’ll be way ahead of 90% of people throwing “AI strategy” into their slide decks. You’ll leave with practical experience and frameworks that help you cut through the noise and avoid expensive mistakes.