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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 this chapter, we explored the phenomenon of machine users and how they are transforming the digital landscape. We learned to adapt the web development paradigm to cater to these new customers and covered topics such as decoding the machine user, market opportunities and scenarios, and architecting for AI integration.

We developed skills to understand and profile the machine user, create strategic scenarios, architect data sources and API platforms for the machine user, and evaluate market opportunities presented by Internet-of-Things-enabled products. Finally, we honed the skill of thinking strategically about the future and positioning businesses to thrive in the age of the machine user.

In the next chapter, we will embark on a journey into the future of software engineering with AI-augmented development.

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Programming languages
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​AI Strategies for Web Development
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