Data for Entrepreneurs - AI Chatbot Builder’s Guide: A Practical Guide to Building Python-Powered Chatbots without 3rd Party Tools - Couverture souple

Sahai, Mr Nikhil

Couverture souple

ISBN 10 : 9811775915 ISBN 13 : 9789811775918

Editeur : Nikhil Sahai Publishing, 2025

Synopsis

Data for Entrepreneurs – AI Chatbot Builder’s Guide

In today’s fast-moving digital economy, startups must do more than collect data — they must also communicate smartly, instantly, and at scale. AI chatbots powered by large language models (LLMs) can transform how businesses interact with customers, automate support, and scale outreach. But building one from scratch can feel daunting, especially for early-stage entrepreneurs.

Written by Nikhil Sahai, a seasoned data and AI leader with over 15 years of experience building scalable systems, this guide breaks down the technical complexity of chatbots into practical steps. Whether you’re a founder, a product manager, or a curious builder, this book empowers you to bring your startup’s voice to life with AI.

🔧 What You’ll Learn:

Build an AI Chatbot from Scratch
Learn how to structure your knowledge base, define your bot’s purpose, and set up a working prototype using real startup workflows.

Use LLMs and Retrieval-Augmented Generation (RAG)
Understand the difference between hosted vs local models, fine-tuning vs RAG, and learn how to choose the right stack for your needs.

Backend Integration
Get hands-on with FastAPI, vector databases like Pinecone, and Gemini/Mistral models to make your chatbot intelligent and contextual.

Deployment Made Simple
Deploy your chatbot on scalable platforms like Google Cloud Run with tools like Docker and Cloud Scheduler — production-grade, founder-friendly.

Improve and Scale
Log user interactions, collect feedback, refine prompts, and scale your bot’s capability as your business grows.

🌟 Why This Book Stands Out

Unlike academic papers or overly technical documentation, this guide bridges the gap between cutting-edge AI tools and startup execution. With a clear focus on speed, simplicity, and scalability, it walks you through the process step-by-step — making AI chatbots accessible even to non-engineers.

You’ll benefit from frameworks and real-world startup examples that reflect the author’s hands-on experience launching AI systems in production.

Whether you want a chatbot to answer FAQs, guide users through onboarding, or power customer service — this book has you covered.

👥 Who This Book Is For

Founders & Product Leaders
Design bots that serve your business goals, improve customer experiences, and reduce manual workloads.

Engineers & Builders
Skip the hype and get right to implementation with fast, proven workflows that use open-source tools and cloud platforms.

Business Managers
Understand how AI chatbots can drive efficiency, lower costs, and add real value to your customer experience.

⚙️ Key Features

• Step-by-Step Implementation: From defining your bot to deploying it in production — no fluff, just what works
• Modern Tool Stack: Use Google Cloud Run, Pinecone, Hugging Face, and FastAPI to build real-world chatbots
• Avoid Common Pitfalls: Learn from common mistakes in prompt design, context retrieval, and scalability
• Built for Startups: Lightweight, cost-effective solutions designed with startup budgets and agility in mind

🚀 Why It Matters

AI chatbots aren’t just tools — they’re scalable digital team members. Whether it’s answering questions, qualifying leads, or providing onboarding support, a well-designed chatbot can give your startup the voice, scale, and speed it needs to thrive.

This book is your guide to building that voice — one that speaks smartly, learns quickly, and grows with your business.

Start building your startup’s voice today with Data for Entrepreneurs: AI Chatbot Builder’s Guide.

Détails de l'édition

• Éditeur: Nikhil Sahai Publishing
• Date d'édition: 2025
• Langue: anglais
• ISBN 10: 9811775915
• ISBN 13: 9789811775918
• Reliure: Broché
• Nombre de pages: 158
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible