Free Course on Building AI-Led Products with Case Study
Learn how to build AI-led products with our free AI for product course. Gain valuable insights and skills in this comprehensive case study. Start today!
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Learning Objectives
1. Importance of Product Sense in PM
Emphasizes the critical role of product sense in making accurate decisions amidst uncertainty in AI product management.
2. Grounding Product Development in User Needs
Highlights the significance of understanding user personas, solving their problems, and aligning product development with user needs and business goals.
3. Understanding AI Lifecycle in PM
Discusses the specific considerations required in AI product management, such as understanding AI's lifecycle, responsible AI practices, and aligning machine learning with business objectives.
4. Application of 'First Principles Thinking' in PM
Explains the concept of 'first principles thinking' in AI product management, focusing on breaking down complex problems into fundamental truths to develop resonating products.
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Who's it for
Product Managers
AI Engineers
Start-up Founders
Business Analysts
UX Designers
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What will I learn
Chapter 1
The Essence of Product Sense in PM
Product sense is a pivotal skill in PM, essential for navigating the uncertainties of product development. It's compared to innate senses, suggesting it's inherent but can be refined with experience. This chapter will elaborate on how product sense plays a crucial role in decision-making and the success of a product.
Chapter 2
Deciphering User Needs
Understanding the 'who, why, and what' is fundamental in PM. This chapter focuses on identifying user personas, determining the significance of their problems, and clearly defining the issues that the product aims to solve, all while aligning with business objectives.
Chapter 3
AI Product Management Nuances
AI PM isn't drastically different from traditional PM, but it has its unique aspects. Here, we explore the intricacies of AI's lifecycle, the importance of responsible AI, and the alignment of AI initiatives with business goals, providing a roadmap for PMs in the AI space.
Chapter 4
First Principles Thinking in AI PM
First principles thinking is dissecting complex problems to their fundamental truths. This chapter discusses how this approach is vital in avoiding the pitfalls of product development, exemplified by the initial failure and subsequent pivot of Google Glass.
Chapter 5
Responsible AI
This chapter addresses the growing significance of responsible AI in PM. It underlines the importance of developing AI models that are unbiased and respect user privacy, using real-world examples to illustrate the potential consequences of neglecting these aspects.
Chapter 6
Case Study on AI-Based Smart Traffic Management
We present a real-world application of AI PM principles through a smart traffic management system case study. The chapter breaks down the approach to tackling complex AI problems, from setting business goals to iterative model development and alignment with business strategies.
Chapter 7
Concluding Thoughts on AI PM
The final chapter encapsulates the core themes of the book, reaffirming the importance of product sense, user-centric design, and ethical considerations in AI PM. It offers closing insights and tools for PMs to develop successful, innovative, and responsible AI products.
Meet your Mentor
Ketan Gandhi
Product Manager @ Google, Walmart, Tech Mahindra
Ketan Gandhi is an experienced Product Manager with a strong background in ad-tech and monetization. He has worked at Google, Walmart, and Tech Mahindra, focusing on building ML-based audiences and targeting segments to help advertisers reach Walmart customers. Based in Bengaluru, Karnataka, India, Ketan's expertise spans across major tech companies and innovative projects in the field.
Frequently Asked Questions
What are the main pillars of AI Product?
The main pillars of Ai Product include data collection, model development, testing, and deployment strategies.
What is AI Product, and why is it important to learn about?
AI Product refers to products enhanced or driven by artificial intelligence, crucial for staying competitive in tech-driven markets.
Is these AI Product courses designed for corporate training and workforce upskilling?
Yes, AI Product courses are tailored for corporate training to upskill employees in leveraging AI technologies effectively.
How long can I access the free AI for product course content?
You can access the free AI for product course content indefinitely once you enroll and complete the course.
Will I receive a certification upon completion of the free AI for product course?
Yes, you will receive a certification upon successfully completing the free Ai for product course to showcase your skills.
Building AI Led Products and used case studies for Product Managers
4.6
(345 ratings)
Intermediate
23 November 2024 at 1:30 pm GMT
25k Learners enrolled
Mentor
Ketan Gandhi
Product Manager @ Google, Walmart, Tech Mahindra
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