The Base Learning Model: Bundle Three - Advanced AI Before Automation Hype

Name: The Base Learning Model: Bundle Three - Advanced AI Before Automation Hype
Brand: Independently Published
SKU: 9798197559296
Price: 2142.0 INR
Availability: OutOfStock

by Ravindra Kumar Nayak

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ISBN13: 9798197559296
Binding: Paperback
Subject: N/A
Publisher: Independently Published
Publisher Imprint: Independently Published
Publication Date: May 18, 2026
Pages: 174
Original Price: USD 19.87
Language: English
Edition: N/A
Item Weight: 241 grams
BISAC Subject(s): Artificial Intelligence / Generative AI

About The Book

The Base Learning Model: Bundle Three - Advanced AI Before Automation Hype is a calm, human-centered, first-principles guide for readers who want to understand the next frontier of AI without being overwhelmed by jargon, speed, or exaggerated promises.

Many people first encounter advanced AI through noise: prompts, copilots, agents, autonomous systems, super agents, governance, safety, and future intelligence. The language sounds powerful, but the foundations often remain unclear. This book changes that.

It does not begin with hype.
It begins with understanding.

Across four connected parts, Ravindra Nayak leads the reader through a clear learning journey:

Generative AI - how AI creates language, ideas, and content, and why prompts alone are not enough without context, grounding, and review.
AI Agents - how systems begin to take steps, use tools, and assist with tasks inside workflows.
Agentic AI and Super Agents - how goal-directed systems can plan, act, coordinate, and automate more complex work, while still needing guardrails, review, and human responsibility.
Responsible Future Intelligence - how to think about safety, governance, dignity, strategy, evaluation, and lifelong learning before the next wave of intelligent systems grows even more powerful.

This bundle is written especially for non-technical readers, students, teachers, career changers, professionals, and thoughtful learners who want to understand advanced AI before trusting it blindly. Difficult terms are explained in plain language. Concepts are built slowly from first principles. Dialogues, examples, visual thinking, poetic reflections, and practical exercises make the subject breathable and deeply approachable.

This is not a book about worshipping the machine.
It is a book about preparing the human mind.

Readers will learn how to ask better questions, use generative AI wisely, understand agent systems clearly, think about autonomy responsibly, and meet future intelligence with both courage and conscience.

Four frontiers. One flow. Responsible intelligence.

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