Generative AI for Web Development: Building Web Applications Powered by OpenAI APIs and Next.Js

Explore the world of Generative AI and understand why it matters. This book is divided into two parts, introducing tools such as ChatGPT, DALL-E, and will show you how to use them to build AI-powered web apps.

The first part of the book describes Generative AI and covers the essential models and APIs from OpenAI. Legal, ethical, and security considerations are discussed to help you decide whether it is an appropriate tool for your projects. You'll then review ChatGPT and see how to use it effectively for generating code. This is followed by a review of best practices, and tips and techniques for getting around the limitations of ChatGPT and other OpenAI APIs.

The second part of the book provides practical guide to building a series of web apps with Next.js that showcase how to use the OpenAI APIs. For example, you'll learn how to build a Story/Poetry generator, a language learning app, and a blog site with a custom Chatbot widget. The code for the web apps is generated using ChatGPT.

When done with this book, you'll have a clear understanding of Generative AI and be well on your way to building web applications powered by OpenAI APIs and Next.js.

What You Will Learn

• Assess the legal, ethical, and security concerns with using Generative AI in web applications
• Review the latest APIs provided by OpenAI for generating text and image
• Use ChatGPT to generate code for web projects, as well as tips and tricks to working around the limitations.

Who This Book Is For

Experienced web developers and software engineers who know their way around HTML, CSS, and JavaScript, but have limited or no experience using Generative AI to build web applications.

Tom Auger is a senior software engineer with extensive experience in building web APIs and web applications for both startups and large enterprises. As an increasing number of breakthroughs were made in AI, Tom decided to take a sabbatical in 2020 and obtained a Master's degree in Computer Science at Edinburgh University researching AI, machine learning and computer security in greater depth. Tom regularly teaches workshops and bootcamps on Generative AI. He currently leads the development of AI in education at the Tumo Center for Creative Technologies to build an AI powered learning coach.

Emma Saroyan graduated with a BS in Computer Science from the American University of Armenia and is currently a developer advocate with a focus on developer products, platforms, and APIs. Before that, she worked at startups at the intersection of technology and education. Emma regularly speaks at international open-source conferences and is an active advocate for women in tech serving on the DISC Committee of NumFOCUS, an organization dedicated to supporting and advancing open-source scientific computing projects. She believes we are at one of the biggest inflection points in human history, given the disruption that Generative AI is creating.