Torrent details for "Nika M. Building AI-Powered Products. The Essential Guide to AI.…" Log in to bookmark
Controls:
×
Report Torrent
Please select a reason for reporting this torrent:
Your report will be reviewed by our moderation team.
×
Report Information
Loading report information...
This torrent has been reported 0 times.
Report Summary:
| User | Reason | Date |
|---|
Failed to load report information.
×
Success
Your report has been submitted successfully.
Checked by:
Category:
Language:
None
Total Size:
12.0 MB
Info Hash:
996146A2FAF11A65AB6A587ECF430912710A8009
Added By:
Added:
April 21, 2026, 1:54 p.m.
Stats:
|
(Last updated: April 21, 2026, 2 p.m.)
| File | Size |
|---|---|
| Nika M. Building AI-Powered Products. The Essential Guide to AI...2025.pdf | 12.0 MB |
Name
DL
Uploader
Size
S/L
Added
NOTE
SOURCE: Nika M. Building AI-Powered Products. The Essential Guide to AI...2025
-----------------------------------------------------------------------------------
COVER

-----------------------------------------------------------------------------------
MEDIAINFO
Textbook in PDF format Drawing from her experience at Google and Meta, Dr. Marily Nika delivers the definitive guide for product managers building AI and GenAI powered products. Packed with smart strategies, actionable tools, and real-world examples, this book breaks down the complex world of AI agents and generative AI products into a playbook for driving innovation to help product leaders bridge the gap between niche AI and GenAI technologies and user pain points. Whether you're already leading product teams or are an aspiring product manager, and regardless of your prior knowledge with AI, this guide will empower you to confidently navigate every stage of the AI product lifecycle. Confidently manage AI product development with tools, frameworks, strategic insights, and real-world examples from Google, Meta, OpenAI, and more Lead product orgs to solve real problems via agentic AI and GenAI capabilities Gain AI Awareness and technical fluency to work with AI models, LLMs, and the algorithms that power them; get cross-functional alignment; make strategic trade-offs; and set OKRs
×


