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Practical AI with Google Apps Scrip by Laurence Lars Svekis (epub...

Category : Other
Type: E-Books
Language: English
Total Size: 1.3 MB
Uploaded By: Bilbo76
Downloads: 30238
Last checked: May. 7th '26
Date uploaded: May. 7th '26
Seeders: 27925
Leechers: 11149
INFO HASH: D3CF31EBC685DC40DC5D05A1390134118A6721E3

About Practical AI with Google Apps Scrip by Laurence Lars Svekis (epub...

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Practical AI with Google Apps Scrip by Laurence Lars Svekis (epub)(Nonfiction) Author: Laurence Lars Svekis Full Title: Practical AI with Google Apps Script: Build Responsible AI Tools Inside Google Workspace Release Year: 2025 Page Count: 226 Pages Genres: Nonfiction, Artificial Intelligence, Programming, Google Apps Script Artificial Intelligence is no longer experimental; it's deeply integrated into how we work, teach, and collaborate. Many AI resources focus on abstract theory or standalone

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Practical AI with Google Apps Scrip by Laurence Lars Svekis (epub)(Nonfiction)
Author: Laurence Lars Svekis
Full Title: Practical AI with Google Apps Script: Build Responsible AI Tools Inside Google Workspace
Release Year: 2025
Page Count: 226 Pages
Genres: Nonfiction, Artificial Intelligence, Programming, Google Apps Script

Artificial Intelligence is no longer experimental; it's deeply integrated into how we work, teach, and collaborate. Many AI resources focus on abstract theory or standalone systems, which often don't fit within real organizational environments. "Practical AI with Google Apps Script" offers a different approach, serving as a hands-on guide to building safe, trustworthy, and production-ready AI tools directly within Google Workspace using Google Apps Script. The book teaches readers to design AI that operates where people already work, such as inside Google Docs, Sheets, Forms, Drive, and Gmail, without compromising trust or governance. It emphasizes responsible AI design, long-term maintainability, transparency, and human-in-the-loop workflows. Every example in the book is grounded in real-world constraints, including security reviews, IT policies, academic integrity, and performance limits. The core principle enforced throughout is "AI informs. Code decides. Humans approve," making it valuable for educators, developers, and organizations needing defensible and explainable AI tools.