The Art & Science of Product Management

This course is part of Real-World Product Management Specialization

Instructor: Nancy Wang

What you'll learn

  •   Leading Designers.Learn basic design concepts. Understand differences between designers and PMs, and how those differences promote synergy.
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  •   The AI-ML-Powered PM. Learn the difference between AI, ML, and deep learning. Spot examples of how AI might supercharge your products or PM work.
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  •   Leading Engineers.Learn basic software engineering concepts. Understand differences between engineers and PMs, and how to promote synergy.
  •   Ace PM Technical Interview Questions. Use basic engineering concepts to answer real PM interview questions from Microsoft, Google, and Amazon.
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  • Skills you'll gain

  •   Cross-Functional Team Leadership
  •   Artificial Intelligence
  •   Machine Learning
  •   Deep Learning
  •   Team Leadership
  •   Design
  •   Interviewing Skills
  •   Product Management
  •   Artificial Intelligence and Machine Learning (AI/ML)
  •   Technical Product Management
  •   User Experience Design
  • There are 3 modules in this course

    Featuring: * NANCY WANG, Head of Data Protection Services, Amazon Web Services; Founder and CEO, Advancing Women in Product * SANDY CARTER, Vice President for Worldwide Public Sector Programs, Amazon Web Services * PRANAVA ADDURI, Software Engineering Manager, Amazon Web Services * MINMIN YANG, Principal UX Lead, Amazon Web Services * WAHAB OWOLABI, Founder, OneReq; Diversity Business Partner, Facebook * SHARMEEN CHAPP, Vice President of Product & Engineering, Twitch Community * EJ EMEAGWALI, Product Manager, Samsara; former Product Manager, Google and Microsoft * STEPHANIE NEILL, Senior Director of Product, Twitch Commerce * GEORGE ELISSAOIS, General Manager & Director of Product Management, Amazon Web Services * NANCY RILEY, Vice President & General Manager of the Ecosystem Product Group, Hubspot * SABRINA FARMER, Vice President of Engineering for Site Reliability, Google Products This is the third of four courses in the ACE Recommended Real-World Product Management Specialization. When you complete all four courses, you can earn up to 6 college credits.

    PMing with AI and Machine Learning

    Leading and Collaborating with Engineers + Acing the PM Technical Interview Question

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