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{ "item_title" : "Full-Stack AI", "item_author" : [" Ajit Singh "], "item_description" : "Welcome to Full-Stack AI, a comprehensive guide designed for the next generation of engineers, developers, and technology leaders. In an era where Artificial Intelligence is no longer a siloed discipline but the very fabric of modern software, the demand for professionals who can architect, build, and deploy end-to-end AI-powered solutions has skyrocketed. This book is engineered to create such professionals-the Full-Stack AI Engineers.Key Features of the Book: 1. Holistic Full-Stack Coverage: Uniquely covers the entire AI application lifecycle-from data ingestion and model training to API development, frontend integration, and MLOps.2. Beginner to Advanced Trajectory: The book starts with What is AI? and smoothly progresses to advanced topics like MLOps and Generative AI, making it suitable for both undergraduate and postgraduate students.3. Hands-On and Project-Based Learning: Packed with code snippets, practical examples, step-by-step tutorials, and chapter-end exercises. The book culminates in a comprehensive capstone project.4. Real-World Case Studies: Each chapter includes case studies from industries like e-commerce, healthcare, and finance to illustrate how theoretical concepts are applied in the real world.5. Focus on Latest Technologies: Incorporates the most current and relevant topics, including Large Language Models (LLMs), Generative AI, Transformers, and modern deployment practices using Docker and cloud platforms.6. Simple and Lucid Language: Complex mathematical and technical concepts are broken down into easy-to-understand explanations with relatable analogies and examples.7. Complete Capstone Project: The final chapter provides the complete source code and a step-by-step guide to building and deploying a live, portfolio-worthy Full-Stack AI application.My pedagogy is simple: learn by doing. Every theoretical concept is immediately followed by practical examples, real-world case studies, and hands-on coding exercises. The language is kept simple and lucid, ensuring that complex topics are accessible to everyone. By the end of this book, you will not just know about AI; you will be equipped to build with AI, making you a valuable asset in today's technology-driven world.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/826/488/9798264889783_b.jpg", "price_data" : { "retail_price" : "27.36", "online_price" : "27.36", "our_price" : "27.36", "club_price" : "27.36", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Full-Stack AI|Ajit Singh

Full-Stack AI

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Overview

Welcome to "Full-Stack AI," a comprehensive guide designed for the next generation of engineers, developers, and technology leaders. In an era where Artificial Intelligence is no longer a siloed discipline but the very fabric of modern software, the demand for professionals who can architect, build, and deploy end-to-end AI-powered solutions has skyrocketed. This book is engineered to create such professionals-the Full-Stack AI Engineers.

Key Features of the Book:

1. Holistic Full-Stack Coverage: Uniquely covers the entire AI application lifecycle-from data ingestion and model training to API development, frontend integration, and MLOps.

2. Beginner to Advanced Trajectory: The book starts with "What is AI?" and smoothly progresses to advanced topics like MLOps and Generative AI, making it suitable for both undergraduate and postgraduate students.

3. Hands-On and Project-Based Learning: Packed with code snippets, practical examples, step-by-step tutorials, and chapter-end exercises. The book culminates in a comprehensive capstone project.

4. Real-World Case Studies: Each chapter includes case studies from industries like e-commerce, healthcare, and finance to illustrate how theoretical concepts are applied in the real world.

5. Focus on Latest Technologies: Incorporates the most current and relevant topics, including Large Language Models (LLMs), Generative AI, Transformers, and modern deployment practices using Docker and cloud platforms.

6. Simple and Lucid Language: Complex mathematical and technical concepts are broken down into easy-to-understand explanations with relatable analogies and examples.

7. Complete Capstone Project: The final chapter provides the complete source code and a step-by-step guide to building and deploying a live, portfolio-worthy Full-Stack AI application.

My pedagogy is simple: learn by doing. Every theoretical concept is immediately followed by practical examples, real-world case studies, and hands-on coding exercises. The language is kept simple and lucid, ensuring that complex topics are accessible to everyone. By the end of this book, you will not just know about AI; you will be equipped to build with AI, making you a valuable asset in today's technology-driven world.

This item is Non-Returnable

Details

  • ISBN-13: 9798264889783
  • ISBN-10: 9798264889783
  • Publisher: Independently Published
  • Publish Date: September 2025
  • Dimensions: 9 x 6 x 0.61 inches
  • Shipping Weight: 0.87 pounds
  • Page Count: 292

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