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​AI Strategies for Web Development

​AI Strategies for Web Development

By : Anderson Soares Furtado Oliveira
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​AI Strategies for Web Development

​AI Strategies for Web Development

By: Anderson Soares Furtado Oliveira

Overview of this book

If you’re a web developer looking to leverage the power of AI in your projects, then this book is for you. Written by an AI and ML expert with more than 15 years of experience, AI Strategies for Web Development takes you on a transformative journey through the dynamic intersection of AI and web development, offering a hands-on learning experience. The first part of the book focuses on uncovering the profound impact of AI on web projects, exploring fundamental concepts, and navigating popular frameworks and tools. As you progress, you’ll learn how to build smart AI applications with design intelligence, personalized user journeys, and coding assistants. Later, you’ll explore how to future-proof your web development projects using advanced AI strategies and understand AI’s impact on jobs. Toward the end, you’ll immerse yourself in AI-augmented development, crafting intelligent web applications and navigating the ethical landscape. Packed with insights into next-gen development environments, AI-augmented practices, emerging realities, interfaces, and security governance, this web development book acts as your roadmap to staying ahead in the AI and web development domain.
Table of Contents (25 chapters)
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1
Part 1: Embarking on the AI Revolution in Web Development
7
Part 2: Crafting the Future: Creating Cutting-Edge AI Applications
13
Part 3: Future-Proofing Web Development – Advanced AI Strategies
19
Part 4: The Road Ahead – Anticipating Trends in AI and Web Development

Summary

In the previous chapter, we explored strategies that leveraged AI to enhance the security, performance, and reliability of web applications. We explored how cutting-edge AI technologies could revolutionize the testing phase, providing valuable insights and uncovering potential issues that traditional methods might overlook.

We started with an introduction to the concept of smart testing with AI. This was followed by learning to use AI tools to optimize and automate performance testing. We then gained proficiency in leveraging AI for comprehensive security testing and learned to integrate AI-driven bias detection into web application testing. The chapter concluded with understanding and applying AI-based techniques for reliability and validity testing.

Concluding the chapter, you have a good understanding of the concepts and principles of smart testing with AI. You learned to use AI tools to optimize and automate performance testing along with setting up support for comprehensive...

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​AI Strategies for Web Development
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