E-Books →Full-Stack AI

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.