AI Automation and Productivity

De: Ajit Singh

Narrado por: Virtual Voice

About the Book

This book provides a comprehensive, hands-on, and application-centric guide to designing and implementing automated workflows augmented by Artificial Intelligence. It is engineered to take a student from the foundational concepts of automation to the deployment of sophisticated, scalable, and intelligent systems.


Philosophy

The core philosophy of this book is "learning by doing." I operate on the principle that true understanding in the field of AI automation comes not from memorizing theories, but from building functional systems that solve real-world problems. Every concept is introduced with a clear purpose and is immediately followed by practical implementation. We eschew dense academic jargon in favor of clear, step-by-step instructions and simple explanations, ensuring that the technology is demystified and made accessible. The focus is always on the outcome: a working, valuable automation.


Key Features

1. Strictly Practical: Over 80% of the book is dedicated to hands-on tutorials, case studies, and step-by-step project implementations.
2. Globally Relevant Syllabus: Covers universally applicable tools and principles, making it suitable for computer science programs worldwide.
3. Beginner to Advanced Trajectory: The logical flow ensures that beginners can build confidence, while advanced topics on scaling, security, and self-hosting provide depth for experienced learners.
4. Modern Toolchain: Focuses on an industry-standard toolkit including Zapier, Make, n8n, Docker, REST APIs, Postman, Firebase, and Retool.
5. Complete Capstone Project: The final chapter provides a complete, working DIY project with fully explained code and setup instructions.
6. Simple Algorithms and Code: All code snippets and algorithmic logic are presented in the simplest possible manner, prioritizing clarity and ease of understanding.


To Whom This Book Is For

This book is primarily intended for:

1. B.Tech and M.Tech Computer Science/IT Students: It serves as a primary textbook or a supplementary resource for courses on AI, software engineering, cloud computing, and automation.
2. Aspiring Automation Specialists and Software Developers: Professionals looking to pivot or upskill in the high-demand area of process automation and AI integration.
3. Entrepreneurs and Product Managers: Individuals who want to understand how to leverage automation to build efficient operations and create innovative, AI-powered products.
4. Self-Learners and Tech Enthusiasts: Anyone with a foundational understanding of technology who is curious about building practical AI-driven solutions to enhance productivity.


Disclaimer: Earnest request from the Author.

Kindly go through the table of contents and refer kindle edition for a glance on the related contents.

Thank you for your kind consideration!