The Art & Science of Product Management (Coursera)

The Art & Science of Product Management (Coursera)

Sponsored by AMAZON WEB SERVICES (AWS). Learn how Amazon, Facebook, Google, and Twitch PMs and lead and collaborate with an interdisciplinary team of UX designers, software engineers, AI/ML engineers. Plus, practice real PM interview questions asked by Microsoft, Google, and Amazon!

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

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, and SABRINA FARMER, Vice President of Engineering for Site Reliability, Google Products.
What You Will Learn

  • Leading Designers.Learn basic design concepts. Understand differences between designers and PMs, and how those differences promote synergy.
  • 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.
  • 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.

Course 3 of 4 in the Real-World Product Management Specialization.

Syllabus

WEEK 1
Leading and Collaborating with Designers
As a PM, lead and collaborate with designers on your team! With Nancy Wang and Minmin Yang, Principal UX Lead at Amazon and Adjunct Professor at Bentley University.

WEEK 2
PMing with AI and Machine Learning
As a PM, understand how AI, ML, and deep learning works, and opportunities to deploy them! With Nancy Wang and Sandy Carter, Vice President for Worldwide Public Sector Programs at Amazon Web Services.

WEEK 3
Leading and Collaborating with Engineers + Acing the PM Technical Interview Question
As a PM, understand and collaborate with engineers on your team! Also: master the technical PM interview question. With Pranava Adduri, Software Engineering Manager at Amazon and Director of Programming at AWIP.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Responsible AI - Principles and Ethical Considerations (Coursera) Coursera
Fractal Analytics

Responsible AI - Principles and Ethical Considerations (Coursera)

Welcome to "Responsible AI – Principles and Ethical Considerations"! Dive deep into the very essence of Responsible AI with us. Uncover the significance of key principles shaping technology's future. From ethical considerations to fairness, transparency, and accountability, we discuss these principles with real-world examples, putting them into the context of data science.

Oct 5th 2026
5-12 Weeks
Artificial Intelligence for Breast Cancer Detection (Coursera) Coursera
Johns Hopkins University

Artificial Intelligence for Breast Cancer Detection (Coursera)

Through interactive lectures and module exercises, this course illustrates the potential of artificial intelligence in breast imaging. Topics include an introduction of breast cancer and breast imaging, introduction to artificial intelligence in image analysis and computer image processing of cancer detection. The course intends to provide students basic understanding of artificial intelligence approaches to breast cancer detection.

Oct 5th 2026
4 Weeks
Machine Translation (Coursera) Coursera
Karlsruhe Institute of Technology - KIT

Machine Translation (Coursera)

Welcome to the CLICS-Machine Translation MOOC. This MOOC explains the basic principles of machine translation. Machine translation is the task of translating from one natural language to another natural language. Therefore, these algorithms can help people communicate in different languages. Such algorithms are used in common applications, from Google Translate to apps on your mobile device.

Sep 28th 2026
5-12 Weeks
Machine Teaching for Autonomous AI (Coursera) Coursera
University of Washington

Machine Teaching for Autonomous AI (Coursera)

Just as teachers help students gain new skills, the same is true of artificial intelligence (AI). Machine learning algorithms can adapt and change, much like the learning process itself. Using the machine teaching paradigm, a subject matter expert (SME) can teach AI to improve and optimize a variety of systems and processes. The result is an autonomous AI system.

Oct 5th 2026
4 Weeks
Preparing for the Google Cloud Professional Data Engineer Exam en Español (Coursera) Coursera
Google Cloud

Preparing for the Google Cloud Professional Data Engineer Exam en Español (Coursera)

En este curso, se emplea un enfoque descendente a fin de identificar las habilidades y los conocimientos adquiridos, así como poner en evidencia la información y las áreas de habilidades que requieren una preparación adicional. Puede aprovechar este curso para crear su propio plan de preparación personalizado. Lo ayudará a distinguir lo que sabe de lo que no. Además, le permitirá desarrollar y practicar las habilidades que se les exigen a los profesionales que realizan este trabajo.

Oct 5th 2026
1 Week
AI for Efficient Programming: Harnessing the Power of LLMs (Coursera) Coursera
Fred Hutchinson Cancer Center

AI for Efficient Programming: Harnessing the Power of LLMs (Coursera)

This course on Artificial Intelligence (AI) for software development explores the use of AI large language models such as ChatGPT, Bard, and others and their potential benefits and challenges. Through examples and hands-on activities, you will develop an understanding of the ways in which AI can speed up software development tasks and free up time for more creative and strategic work.

Oct 5th 2026
4 Weeks
Innovating with the Business Model Canvas (Coursera) Coursera
University of Virginia

Innovating with the Business Model Canvas (Coursera)

Have you ever gotten really excited about reading or writing a business plan? You might have started out excited, but I’m going to bet you didn’t stay that way. Let’s be honest- business plans are boring and mostly ignored. In this course, you’ll learn key tools from the worlds of design thinking and Lean Startup to approach the Canvas with thoughtfulness, focus, and above all a test-driven approach to business model innovation.

Sep 28th 2026
2 Weeks
Data Science in Stratified Healthcare and Precision Medicine (Coursera) Coursera
University of Edinburgh

Data Science in Stratified Healthcare and Precision Medicine (Coursera)

An increasing volume of data is becoming available in biomedicine and healthcare, from genomic data, to electronic patient records and data collected by wearable devices. Recent advances in data science are transforming the life sciences, leading to precision medicine and stratified healthcare. In this course, you will learn about some of the different types of data and computational methods involved in stratified healthcare and precision medicine.

Oct 5th 2026
5-12 Weeks
Probabilistic Graphical Models 1: Representation (Coursera) Coursera
Stanford University

Probabilistic Graphical Models 1: Representation (Coursera)

Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the basis for the state-of-the-art methods in a wide variety of applications, such as medical diagnosis, image understanding, speech recognition, natural language processing, and many, many more. They are also a foundational tool in formulating many machine learning problems.

Sep 28th 2026
5-12 Weeks
GPT Vision: Seeing the World through Generative AI (Coursera) Coursera
Vanderbilt University

GPT Vision: Seeing the World through Generative AI (Coursera)

Imagine a world where your photos don't just capture memories, but also become intelligent assistants, helping you navigate and manage daily tasks. Welcome to "GPT Vision: Seeing the World Through Generative AI", a course designed to revolutionize how you interact with the world around you through the lens of Generative AI and photos.

Oct 5th 2026
2 Weeks
New Technologies for Business Leaders (Coursera) Coursera
Rutgers University

New Technologies for Business Leaders (Coursera)

This introductory course is developed for high-level business people (and those on their way) who want a broad understanding of new Information Technologies and understand their potential for business functions (e.g. marketing, supply change management, finance). This is not a course for people looking for guidance on how to become a deep technical expert or implement these technologies.

Sep 28th 2026
5-12 Weeks