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The Age of Generative Web Development by Ajit Singh
English | January 1, 2026 | ISBN: N/A | ASIN: B0GDJ1M96P | 452 pages | EPUB | 1.58 Mb
"The Age of Generative Web Development" is a comprehensive textbook designed for undergraduate and postgraduate students of computer science and engineering. It serves as a definitive guide to the new paradigm of building web applications by leveraging the power of Artificial Intelligence.
Philosophy
The core philosophy of this book is "Learn, Build, and Innovate with AI." We move beyond traditional, manual coding practices to embrace an AI-augmented development workflow. The book is founded on the belief that the future of web development lies in the synergy between human creativity and machine intelligence. It posits that developers must evolve from being mere implementers of code to becoming architects of intelligent systems, using natural language and high-level directives to guide AI in the creation of complex, dynamic, and responsive web applications. The emphasis is firmly on practical application and real-world problem-solving.
Key Features
1. Beginner to Advanced Coverage: The content is carefully curated to guide a novice from the basics to advanced topics like generative frameworks, MLOps, and AI ethics.
2. Hands-On Approach: Contains dozens of code snippets, practical exercises, and mini-projects integrated within chapters.
3. Real-World Case Studies: Explores how leading tech companies are using generative AI to build next-generation web products.
4. Comprehensive Capstone Project: A complete, end-to-end DIY project in the final chapter allows students to synthesize their learning into a portfolio-worthy application.
5. Future-Ready Content: Includes dedicated sections on the future scope, emerging trends, and ethical considerations in generative AI.
6. Simple and Explanatory Language: Complex AI and development concepts are broken down into simple, easy-to-understand language with clear examples.
To Whom This Book Is For
1. B.Tech/M.Tech Computer Science & IT Students: As a core or elective textbook that aligns with modern university syllabi worldwide.
2. Web Developers & Software Engineers: Professionals seeking to upskill and integrate AI into their development workflow.
3. AI/ML Enthusiasts: Individuals with a background in machine learning who wish to apply their skills to web development.
4. Faculty and Educators: As a comprehensive resource for designing and teaching courses on modern web technologies.
5. Self-Taught Programmers & Entrepreneurs: Anyone looking to build innovative, AI-powered web applications efficiently.
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