Curriculum
What you will learn
-
01
AI Foundations for Product Decision-Makers
What modern AI can and cannot do for products.
Public (anyone, no login) -
02
How Modern AI Actually Works
How LLMs represent, reason and generate — without the hype.
Public (anyone, no login) -
03
Your AI Advantage: Where AI Helps vs Hurts
Sort problems by fault tolerance and trust dynamics.
Public (anyone, no login) -
04
Risk, Trust & Fault Tolerance
Re-architect high-risk problems into safer flows.
Public (anyone, no login) -
05
Replace or Augment Humans
Why intelligence augmentation wins more often.
Public (anyone, no login) -
06
Building Differentiated AI Products
Beat the default pull back to generic AI tools.
Public (anyone, no login) -
07
Adoption, Habits & Switching Costs
What drives lasting adoption of AI products.
Public (anyone, no login) -
08
Responsible AI Product Development
Ethical and social factors that decide success.
Public (anyone, no login) -
09
Ethics Review & Early Risk Detection
A structured review process for early-stage projects.
Public (anyone, no login) -
10
Conversational & Chatbot UX
Design for trust, transparency and social response.
Public (anyone, no login) -
11
Simulating Users with Generative Agents
Architecture, reliability and limits of agent simulation.
Public (anyone, no login) -
12
Capstone: From Opportunity to Validation
Apply the whole framework end-to-end on a real idea.
Public (anyone, no login)
VietRica
Ready to dive in?
Open the course player to start the first module right away.