
HIGH_DENSITY_DATA
FILE_REF: 85 // VERIFIED_ENTRY
ENTRY_DATE2023_01_01
The AI Product Manager's Handbook
01_ABSTRACT_SYNOPSIS
The AI Product Manager's Handbook is a comprehensive guide to building AI products. Learn how to identify opportunities for AI, work with data scientists, understand ML models, and bring AI products to market.
02_INDEX_NODES
- Understanding ML models and capabilitiesP.042
- Working effectively with data science teamsP.084
- AI ethics and responsible AI developmentP.126
- Building products with LLMs and generative AIP.168
PUBLICATION_DATE2023
ISBN_RECORD978-1804612415
PAGES456_UNITS
LANGUAGEENGLISH
LEVELINTERMEDIATE
RECORDS_ID85
FILE_SIZE22.8_MB_RAW
STATUSAVAILABLE
03_ASSOCIATED_DISCIPLINES
Use this book as a reading hub
Branch into adjacent guides, author pages, and category pages from here.
AI & Machine Learning Products category
Browse more books in ai & machine learning products.
More by Irene Bratsis
See the full reading path and related themes for Irene Bratsis.
Machine Learning books
Go deeper on machine learning through the topic page.
AI Strategy books
Go deeper on ai strategy through the topic page.
Compare with similar books
Use a side-by-side comparison when you need a sharper decision than a single book page can provide.
Editorial_Method
How this book page is curated
PM Books Directory exists to help product managers find high-signal books faster. We prioritize practical usefulness, durable ideas, and clear guidance on who each book is for.
We organize pages using topic relevance, reader fit, durable frameworks, and practical usefulness rather than pure popularity alone.
Read the editorial policy

