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Full-Stack AI

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Full-Stack AI

By: Ajit Singh
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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.


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!

Computer Science Mathematics Technology Software Programming Software Development
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Some really good stuff here. A lot of the information is code, so having a hard copy would be beneficial. The author, Ajit, really goes in depth to get you working and using AI. I will read (listen) to more of his books, and I have added this one to my Amazon cart to purchase the hard copy.

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