Full-Stack AI
Failed to add items
Add to Cart failed.
Add to Wish List failed.
Remove from wishlist failed.
Adding to library failed
Follow podcast failed
Unfollow podcast failed
Audible Standard 30-day free trial
Buy for $6.67
-
Narrated by:
-
Virtual Voice
-
By:
-
Ajit Singh
This title uses virtual voice narration
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!
Good Book to Own
Something went wrong. Please try again in a few minutes.