Learn Machine Learning Product Management from Cats and Dogs

Product management and UX centric concepts in machine learning and data science from pets and simple Python notebooks!

Ratings 4.28 / 5.00
Learn Machine Learning Product Management from Cats and Dogs

What You Will Learn!

  • How to product manage and roadmap your A.I. project
  • Basics of ML in easy doggy and kitty format :D
  • How best to interact and extract key information from machine learning engineers
  • How to research your A.I. project for usability and product / market fit
  • UX design practices for your A.I. project
  • Exposure to a simple coding notebook for pet image classification

Description

This 30 day money back guarantee course is optimized to teach you the highest impact concepts and strategies for building an A.I. product in the least time possible, just 2.5 hours, with no risk! Your time is valuable don't waste it on a longer, less efficient course, take this one to quickly learn:


1)The basics of machine learning, use cases and major success metrics easily explained using concrete examples of cute dogs and cats and exercises designed by a trained educational psychologist. No unnecessary or confusing math equations or algorithms, just the core concepts!


2)A pre-made coding notebook for predicting if an image is a cat or dog with deep learning with simple exercises to reinforce ML concepts that teach you the fundamental concepts without having to learn any code whatsoever!


3)User experience and user research tips to maximize the design of your potential A.I. project and efficiently de-risk your product ideas at many stages of development!


4)The best questions to ask your ML engineer when sizing and planning a project about business goals, data acquisition, tradeoffs, resources and risk!


5)A handy product roadmap for scoping out your machine learning project.


6)Fun discussion board exercises to help reinforce concepts throughout the course and see what other students are creating such as: thinking about ML use cases, mapping out the data science loop for your project, success metrics for your project, UX considerations, making a research roadmap for your project, making a product roadmap and UX mockup for your project.


7)A user research roadmap and chart to help you select the best methods to research your project.

Please note: for this course you will need a google account to access google classroom and to utilize google collab coding notebooks!

Who Should Attend!

  • Product managers
  • UX designers
  • User researchers
  • Business executives
  • Marketing Professionals
  • Engineers who want to learn about the product / business side of ML
  • Venture Capitalists / Investors who want to understand the A.I. domain better

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Tags

  • User Experience Design
  • Machine Learning
  • Product Management
  • User Research

Subscribers

42

Lectures

43

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