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AI Product Design Patterns
4.4 (6)
4 Weeks
·Cohort-based Course
Learn the new design language and UX guardrails for AI-driven products.
AI Product Design Patterns
4.4 (6)
4 Weeks
·Cohort-based Course
Learn the new design language and UX guardrails for AI-driven products.
Previously at
Course overview
Be a product person that puts AI/ML into production
Are you wondering how to create products that use AI at their core?
Gartner has said that less than 50% of AI models make it into production in 2020 and with generative AI is has gotten even worse. The reason is that they don't make it is because they aren't fit to the product.
Through a series of case studies, live workshops, and projects, we'll dive into the new paradigms and frameworks product leaders and designers are using to incorporate AI into their products.
The course will feature real examples from GitHub, Google’s Core Machine Learning team, Google’s People + AI Guidebook, Cognizant, and Facebook Reality Labs’ Portal device.
Who is this course for
01
PMs, Designers, and Engineering Managers looking to effectively integrate AI/ML into their products
02
People looking to guide their teams in the middle of integrating AI/ML into their products but are getting caught up with technical details
03
Teams that want better ways to discuss cross-function trade-offs when using AI/ML in their products.
What you’ll get out of this course
Take the next step in your productionalization of AI/ML to create value for your customers
Understand and apply common design patterns for AI/ML including the latest generative interactions
Learn to apply ethical, bias, fairness, and other guardrails to AI/ML products
Practice techniques for having effective conversations about trade-offs with AI engineers and researchers
This course includes
8 interactive live sessions
Lifetime access to course materials
9 in-depth lessons
Direct access to instructor
4 projects to apply learnings
Guided feedback & reflection
Private community of peers
Course certificate upon completion
Maven Satisfaction Guarantee
This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.
AI Product Design Patterns
Course syllabus
Week 1
Jul
9
Lecture 1: Introduction to AI/ML design patterns
Jul
10
Workshop 1: Empathy mapping for the machine
AI product design frameworks introduction
Week 2
Jul
16
Lecture 2: AI product design patterns in practice
Jul
17
Workshop 2: Prototyping with roleplay
AI product design patterns in practice
Week 3
Jul
23
Lecture 3: Guardrails and ethics
Jul
24
Workshop 3: Moral Imaginations scenario
AI guardrails and ethics
Week 4
Jul
30
Lecture 4: Trade-offs and other discussions with technical people
Jul
31
Workshop 4: Analogical innovation mapping
Trade-offs and other discussions with technical people
4.4 (6 ratings)
What students are saying
Meet your instructor
Chris Butler
AI/ML product leader
Chris Butler is a chaotic good product manager, writer, and speaker. He has product leadership and operations experience at Microsoft, Waze, KAYAK, Facebook Reality Labs, Cognizant, and Google. Today he is Staff Product Operations Manager for GitHub's AI and Productivity team.
Course schedule
3-4 hours per week
Tuesdays & Thursdays
9:00-10:00 am PT
Start the week on Tuesday with a lecture and Q&A. Then on Thursdays do a workshop that drives the points home and you can use with your team the next day.
Weekly projects
1 hour per week
Apply what you learn to the products you are currently working on through projects.
Learning is better with cohorts
Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you