Machine Learning / Data Science Product Management Made Easy

Learn product management and UX centric concepts in machine learning and data science from animals and Python notebooks!

In this training workshop you will learn the following:
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)Pre-made coding notebooks and 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.

What you’ll 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 simple coding notebooks for deep learning and linear regression.

Course Content

  • Introduction –> 3 lectures • 10min.
  • Machine Learning Basics –> 8 lectures • 14min.
  • Data Science Loop –> 6 lectures • 21min.
  • Algorithms Overview and Linear Regression Deep Dive –> 4 lectures • 34min.
  • Success Metrics –> 3 lectures • 18min.
  • Deep Learning Intro –> 2 lectures • 32min.
  • User Experience and Research Considerations for ML Products! –> 7 lectures • 28min.
  • Key Questions to Ask and Roadmap Template for your ML Product –> 6 lectures • 19min.

Machine Learning / Data Science Product Management Made Easy

Requirements

  • None – designed for non-technical people..

In this training workshop you will learn the following:
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)Pre-made coding notebooks and 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!

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