Course

Course Summary
Credit Type:
Course
ACE ID:
AWIT-0001
Organization:
Coursera Inc.
Location:
Online
Length:
16 weeks (64 hours)
Dates Offered:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Lower-Division Baccalaureate 3 Introduction to Business Marketing
Lower-Division Baccalaureate 3 Project Management Strategy in Business Administration
Description

Objective:

This course is offered through Coursera, which is an ACE Authorized Instructional Platform.

The objective is this course is to learn the art and science and business of product management while preparing for the PM interview. Students will gain insights to impress on their first (or next) product manager (PM) role, systematically attacking each type of PM interview question by watching two live PM interviews (one Google, one Amazon) with real-time feedback.

Learning Outcomes:

  • cultivate product sense by learning how elite PMs work backward from their customers using personas, interviews, journeys; PRDs, PRFAQs; MPVs, market sizing, and competitive analyses
  • practice technical skills associated with basic PM technical interview questions asked by Amazon, Google, and Microsoft
  • practice and demonstrate PM interview skills by training with real PM interview questions
  • develop KPIs and understand how elite PMs show their success using velocity, OKRs, North Stars, A/B/n tests, NPS, CSAT, CES, cohort analyses, LTV, pricing, and financials

General Topics:

  • Insist on the Highest Standards
  • Customer Obsession
  • Ownership
  • Think Big
  • Invent and Simplify
  • Learn and Be Curious
  • Deliver Results
  • Leading and Collaborating with Designers
  • PMing with AI and Machine Learning
  • Leading and Collaborating with Engineers + Acing the PM Technical Interview Question
  • Earn Trust
  • Hire and Develop the Best
  • Hire and Develop the Best (Continued)
  • It's Always Day One
  • Special Applications: Face recognition & Neural Style Transfer
  • Recurrent Neural Networks
  • Natural Language Processing & Word Embedding
  • Sequence Models & Attention Mechanism
  • Transformer Network
  • Key Performance Indicators
  • Net Performance Score (NPS), and Customer Satisfaction (CAST)
Instruction & Assessment

Instructional Strategies:

  • Audio Visual Materials
  • Case Studies
  • Computer Based Training
  • Discussion
  • Lectures
  • Practical Exercises

Methods of Assessment:

  • Case Studies
  • Quizzes

Minimum Passing Score:

70%
Supplemental Materials