Course Summary
This course focuses on the role of product managers in leading design, engineering, AI, and ML teams. Students will learn how to create successful products by balancing technical, design, and business considerations.Key Learning Points
- Understand the role of a product manager in leading cross-functional teams
- Learn how to balance technical, design, and business considerations to create successful products
- Explore the use of AI and ML technologies in product development
Job Positions & Salaries of people who have taken this course might have
- Product Manager
- USA: $105,000
- India: ₹1,400,000
- Spain: €51,000
- AI Product Manager
- USA: $140,000
- India: ₹2,000,000
- Spain: €70,000
- Engineering Manager
- USA: $137,000
- India: ₹3,200,000
- Spain: €61,000
Related Topics for further study
Learning Outcomes
- Understand the role of product managers in cross-functional teams
- Create successful products by balancing technical, design, and business considerations
- Apply AI and ML technologies in product development
Prerequisites or good to have knowledge before taking this course
- Basic understanding of product management
- Familiarity with design, engineering, AI, and ML concepts
Course Difficulty Level
IntermediateCourse Format
- Online self-paced
- Video lectures
- Quizzes and assignments
- Peer-reviewed projects
Similar Courses
- Product Management: Building Great Products
- Product Design and Development
Related Education Paths
Notable People in This Field
- Marty Cagan
- Ben Horowitz
- Melinda Gates
Related Books
Description
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!
Knowledge
- 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 Question
- s
- . Use basic engineering concepts to answer real PM interview questions from Microsoft, Google, and Amazon.
Outline
- Leading and Collaborating with Designers
- The PM with an Eye for Design
- Opportunities for PM-Designer Collaboration
- Minmin Yang 1 Why PMs Should Care About Design
- Minmin Yang 2 What Designers Need from PMs
- MIT Sloan Review: The Experience Disruptors
- Get Design Down to an Art
- PMing with AI and Machine Learning
- The AI-ML-Powered PM
- Sandy Carter 1 AI in Products Everywhere
- Sandy Carter 2 AI Success from Customer Obsession
- Sandy Carter 3 AI Success from Bias for Action
- Concepts Mentioned in the Lecture
- "Alexa, do my homework"
- Leading and Collaborating with Engineers + Acing the PM Technical Interview Question
- Technical PM Interview Questions & Algorithms
- Linked Lists
- Arrays & Maps
- Trees & Combined Data Structures
- Recrusion vs. Iteration
- Twitch Panel 1
- Twitch Panel 2
- Twitch Panel 3
- Twitch Panel 4
- Twitch Panel 5
- PMing Across the Frontend
- Backing into the Backend: SQL
- Backing into the Backend: NoSQL & NewSQL
- Try My API
- The Internet is Not a Series of Tubes
- Internet-Related PM Interview Questions
- Sabrina Farmer 1 Google Product Engineering
- Sabrina Farmer 2 What Engineering Leaders Need from Their PMs
- Sabrina Farmer 3 How Engineers Shape Product Success
- Nancy Riley 1
- Nancy Riley 2
- Nancy Riley 3
- Log Base 2 (Binary Logs)
- Optional: Free, Easy Lists
- Optional: Arrays & Maps
- Optional: Trees
- Optional: Learn SQL
- Optional: Yelp's API
- Please Review Our Course & Specialization!
- Technical PM Interview Questions 1
- Technical PM Interview Questions 2
Summary of User Reviews
Read reviews for the PMS Leading Design, Engineering, AI & ML course on Coursera. Overall, learners found this course to be informative and well-structured. The course covers a wide range of topics related to product management, design, engineering, AI & ML. Many users praised the course's practical approach and real-world examples.Key Aspect Users Liked About This Course
Practical approach and real-world examplesPros from User Reviews
- The course is well-structured and easy to follow
- Great course for beginners and experienced professionals
- Engaging and knowledgeable instructors
- Covers a wide range of topics related to product management, design, engineering, AI & ML
- Provides practical examples and case studies for better understanding
Cons from User Reviews
- Some assignments and quizzes are too simplistic
- Not enough emphasis on technical skills
- Some learners found the course to be too basic
- Lack of personalized feedback from instructors
- Limited interaction with other learners
Nancy Wang
4.6 Raiting
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