Who is this course for?

This course is designed for developers who are interested in learning how to build AI-powered web applications. It is ideal for intermediate-level web developers who want to expand their skill set by integrating cutting-edge technologies like OpenAI’s DALL-E into their projects.

How long does it take to complete the course?

The course consists of 3 hours and 30 minutes of video content, and the time to complete the course will vary depending on your pace. On average, it should take a few days to a week, allowing time for practice and experimentation with the concepts covered.

Can I preview a course before enrolling?

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

When will I have access to the lectures and assignments?

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

What will I get when I enroll?

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

When will I receive my Course Certificate?

If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

Why can’t I audit this course?

This course is currently available only to learners who have paid or received financial aid, when available.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Build a DALL-E Generator with React, JS & OpenAI

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Build a DALL-E Generator with React, JS & OpenAI

Instructor: Packt - Course Instructors

Included with

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7 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

6 hours to complete

Flexible schedule

Learn at your own pace

7 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

6 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

How to build and deploy a full-stack image generator application using Next.js, React, and OpenAI.
How to securely integrate OpenAI API keys and make API calls to generate images based on text input.
The basics of state management in React, including hooks and event handling for dynamic user interactions.
How to enhance user experience with CSS styling, animations, and email sharing features for generated images.

Skills you'll gain

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There are 7 modules in this course

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.

In this course, you will learn to build a powerful DALL-E image generator application using React, JavaScript, and OpenAI. You’ll gain hands-on experience creating dynamic, responsive apps that can generate realistic images from text descriptions. The course is divided into carefully structured modules. You’ll begin by setting up your development environment, installing Node.js, and configuring Visual Studio Code. Once the foundational tools are in place, you will dive into Next.js, learning how to create a full-stack application and structure it to generate images. After the project is set up, you’ll learn to integrate the DALL-E OpenAI API, handle requests, and securely store API keys. Next, you’ll focus on building the core of your app, using React and TypeScript to manage the user interface and state. You will optimize the user experience with CSS styling, animations, and even add a mailing feature to share the generated images. Finally, you will learn how to deploy your application to production using GitHub and Vercel, making it accessible for the world to see. This course is perfect for developers looking to explore the exciting intersection of AI and web development. No prior experience with OpenAI is required, though familiarity with React and JavaScript will be helpful. By the end of the course, you will be able to create a fully functional DALL-E image generator that integrates seamlessly with OpenAI, providing dynamic image generation based on user input. By the end of the course, you will be able to build and deploy a DALL-E generator app, handle real-time image requests, integrate animations for better UX, and securely manage API keys.

In this module, we will guide you through setting up the DALL-E image generation project by first installing essential tools like Node.js and Visual Studio Code. You will then create a Next.js application, which will serve as the backbone for your image generator. Finally, you’ll understand the project structure and how to get started with your development environment.

What's included

5 videos1 reading

5 videosTotal 29 minutes

What We Are Building with DALL-E and OpenAI in This Course5 minutes
Download Node.js and Visual Studio Code for DALL-E Project Setup4 minutes
What Is Next.js? How to Make a New Project with npx?5 minutes
A Brief Overview of the Next.js File Boilerplate for Our DALL-E Initial Project8 minutes
Running a Development Server of Next.js for DALL-E Project5 minutes

1 readingTotal 10 minutes

Full Course Resources10 minutes

In this module, we will build the front-end of your DALL-E image generator application. You will start by learning the basics of Next.js and setting up the app structure. Following this, you will design the user interface using CSS, making sure your app is both functional and visually appealing.

What's included

4 videos1 assignment

In this module, we will teach you how to generate and securely store your OpenAI API key to integrate DALL-E into your app. You will then set up the necessary configuration to connect your app to the OpenAI API, allowing it to generate images from text descriptions. Lastly, you’ll learn how to handle async calls to fetch generated images dynamically.

What's included

5 videos1 assignment

5 videosTotal 39 minutes

Generating an API Key from OpenAI and Securely Storing Env Variables10 minutes
DALL-E Create Image Implementation into Our OpenAI Application8 minutes
OpenAI Key Configuration Setup with Next JS9 minutes
OpenAI Configurations and Updating DALL-E API Code4 minutes
Async Await Calls to DALL-E OpenAI API in Next JS7 minutes

1 assignmentTotal 15 minutes

How to Get a DALL-E API OpenAI Key and Configuration - Assessment15 minutes

In this module, we will dive into React hooks and state management to render the generated images from DALL-E. You will also learn how to dynamically update the images based on user input. Additionally, we’ll improve the app's UX by adding loading indicators while the app fetches images from the API.

What's included

4 videos1 assignment

4 videosTotal 28 minutes

Adding Image State for Beginners with Hooks in React for DALL-E App10 minutes
Setting API DALL-E Image Data in the Application4 minutes
Dynamically Updating Image Creation with DALL-E and OpenAI7 minutes
Optimizing a React App with Loading for API Fetches to OpenAI DALL-E6 minutes

1 assignmentTotal 15 minutes

Rendering and Creating Images with DALL-E in Our App - Assessment15 minutes

In this module, we will optimize the user interface and experience of your DALL-E app. You will add engaging animations and visual effects like ripples during image loading. Additionally, we’ll walk you through incorporating a mailing feature to share the generated images directly from the app.

What's included

3 videos1 assignment

In this module, we will cover how to version control your project using GitHub and push updates from your local development environment. You will then deploy the application to Vercel, taking your DALL-E generator app live and making it accessible to users worldwide.

What's included

4 videos1 assignment

In this module, we will introduce SCSS, an advanced CSS preprocessor, to enhance the app's visual aesthetics. You will create keyframe animations that bring a dynamic, engaging experience to users. Finally, we’ll integrate and deploy these animations to your live application.

What's included

3 videos3 assignments

3 videosTotal 30 minutes

Introduction to SCSS and Setting Up Animation Code10 minutes
Working with Keyframes for Animations4 minutes
Finalizing Animations with SCSS For DALL-E OpenAI16 minutes

3 assignmentsTotal 90 minutes

Adding Animations with Sassy CSS to Our DALL-E Application from OpenAI - Assessment15 minutes
Full Course Assessment60 minutes
Full Course Practice Assessment15 minutes

Instructor

Packt - Course Instructors

Packt

1,194 Courses293,786 learners

Offered by

Packt

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Frequently asked questions

This course teaches you how to build a DALL-E image generator application using React, JavaScript, Next.js, and OpenAI's API. You will learn to integrate OpenAI's DALL-E API to generate realistic images from textual descriptions, and you will enhance the user experience with styling, animations, and deployment techniques.

As AI-generated content continues to rise in popularity, understanding how to create applications that leverage OpenAI's powerful models, like DALL-E, is becoming increasingly valuable. This course helps you gain hands-on experience with a practical, cutting-edge technology that blends AI and web development, making it an excellent skill set for developers interested in machine learning and creative AI applications.

After completing this course, you will have the skills to create a fully functional web application that generates images based on text input using the DALL-E API. You'll be able to integrate OpenAI's API, manage API calls, optimize user interfaces, and deploy the project to production using platforms like Vercel and GitHub.

This course assumes you have basic knowledge of JavaScript and React. Familiarity with Next.js will be helpful but is not required, as the course covers all the necessary steps to get you up to speed. Basic understanding of APIs and asynchronous programming will also enhance your learning experience, though these topics will be explained as part of the course.