AIGC Product Manager Bootcamp: Easily Switch to AI Products, Worry-Free Job Hunting



📚Video Course
🕒Last updated: 03/14/2025
👥Entrepreneurs / Self-media creators / Cross-border e-commerce sellers / Side-hustlers

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Welcome to our product manager course; here is the detailed outline:

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  1. The 4 major stages of the product lifecycle
    • Understand each stage of product development, from introduction to decline and every key node.
  2. Maslow's 5-level hierarchy of needs
    • Learn how to better understand user needs through Maslow's hierarchy of needs.
  3. The KANO needs analysis model
    • Master the KANO model to analyze the necessity and importance of user needs.
  4. The 5 major analysis models every product manager must know
    • Introduce five common product analysis models to help you evaluate products more comprehensively.
  5. Business model analysis: Lean Canvas
    • Through the Lean Canvas, learn how to design and optimize business models.
  6. The 5 common profit models
    • Understand five common profit models to help you choose the right profit method for your product.
  7. The 2 technical frameworks every product manager must understand
    • Learn two technical frameworks to improve your technical understanding and application ability.
  8. Common product manager terms (1)
    • Master the basic terms and concepts in product management.
  9. Common product manager terms (2)
    • Further learn more advanced terms and concepts to improve your professionalism.
  10. How to write an AI product project resume (Part 1)
    • Understand how to write a professional AI product project resume.
  11. How to write an AI product project resume (Part 2)
    • Deeply learn the details of resume writing to ensure completeness and appeal.
  12. How to optimize your self-introduction script
    • Master how to confidently introduce yourself in an interview.
  13. How to guide the interviewer when you haven't prepared for a question
    • Learn how to cleverly guide the interviewer when facing unprepared questions.
  14. How to explain AI projects in interviews
    • Master how to clearly explain AI projects in interviews.
  15. Which questions to ask in the free-question segment to improve your pass rate
    • Understand how to ask in-depth questions in the free-question segment to improve your interview pass rate.
  16. 100 classic product interview questions – background questions
    • Prepare to answer interview questions about your background.
  17. 100 classic interview questions – personal experience questions
    • Learn how to answer questions about personal experience.
  18. 100 classic interview questions – product thinking questions
    • Master how to answer questions about product thinking.
  19. 100 classic interview questions — open-ended questions
    • Learn to handle open-ended questions.
  20. 100 classic interview questions — product-quality questions
    • Prepare to answer questions about product quality.
  21. 100 classic interview questions — data-analysis questions
    • Learn to answer data-analysis questions.
  22. 100 classic interview questions — work-scenario questions
    • Master how to answer work-scenario questions.
  23. 100 classic interview questions — product-ability questions
    • Learn to answer product-ability questions.
  24. 100 classic interview questions — product-operations questions
    • Prepare to answer product-operations questions.
  25. 100 classic interview questions — macro-vision questions
    • Learn to answer macro-vision questions.
  26. [Bonus] High-frequency 100 questions 61–70
    • Cover more high-frequency interview questions, strengthening interview prep.
  27. [Bonus] High-frequency 100 questions 71–80
    • Further consolidate interview knowledge and lift response ability.
  28. [Bonus] High-frequency 100 questions 81–90
    • Learn more interview techniques and lift pass rate.
  29. [Bonus] High-frequency 100 questions 91–100
    • Complete interview prep, fully handling all kinds of questions.
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