React AI Chatbot App built with ChatGPT and Gemini AI from Udemy

Description

Unlock the power of AI to create smart and interactive applications that engage users in real time and stand out in today's market.

Hi, my name is Dmytro Vasyliev and welcome to my course: “React AI Chatbot built with ChatGPT and Gemini AI”. I'll show you how to build a real-time AI chatbot using React, ChatGPT and Google Gemini APIs.

You'll learn how to build many chatbot features such as real-time message streaming, auto-resizable text field, auto-scrolling to the last message, markdown and dark mode support, and much more.

This course is practical, so you can apply what you learn straight away. This course will help you build a functional AI chatbot, whether you're a developer with some React experience or someone who wants to dive deeper into AI integration with React.

This course is easy to learn. I'll show you how to build features, integrate AI and improve the user experience using React best practices. You'll understand how to handle both the front-end and AI aspects, so you can build your own AI-powered applications.

Who is this course for?

Developers and students with fundamental React.js knowledge looking to explore and learn something new
People who want to learn how to integrate Open AI (ChatGPT) and Google AI (Gemini) into frontend applications

What's in this course?

Getting Started: Learn the basics of setting up your development environment, including configuring your browser, code editor, and Node.js with npm. Understand the importance of preparing your workspace for a successful React project.
Building Chatbot UI: Learn how to design and implement the core structure of the chatbot interface. This includes creating the app layout, displaying chat messages, adding a text input field, and handling message interactions within the chat component.
Implementing Chat with AI: Discover how to connect your chatbot to Google AI (Gemini) and OpenAI (ChatGPT). Learn how to obtain and manage API keys, integrate the APIs for real-time chat functionality, and isolate logic for reusability.
Streaming Messages with AI: Master the process of setting up real-time message streaming with both Google AI (Gemini) and OpenAI (ChatGPT). Understand how to handle delayed responses and provide a smooth experience for users interacting with the chatbot.
Improving User Experience with Chat: Enhance the chatbot interface by adding features like loading states, Markdown message support, auto-resizable text fields, and auto-scrolling behavior. Implement dark mode support to make your app more versatile and user-friendly.
Summary: Review key takeaways from the course and learn how to leave a review for feedback. Understand how to obtain your certificate of completion and apply your newfound skills to build real-world React applications with integrated AI.

This Course includes

Theory and Practice: About 2 hours of lectures with many practical examples. Lessons range from 3 to 10 minutes and are easy to follow.
Source Code Examples: Full access to source code for all projects and exercises, helping you follow along and practice on your own.
Lifetime access to the course and any future updates.
Udemy Certificate: which you will receive after completing the course.
Support: If you have any questions, we will always be willing to answer them.

Meet your instructor.

Dmytro Vasyliev is a Senior Front-end Engineer with more than 9 years of professional experience in developing web applications. I have extensive experience with React and other frameworks, having used it in various projects to build dynamic and efficient user interfaces.

Throughout the course, Dmytro walks you through building a real-time AI chatbot with React.js, integrating both OpenAI (ChatGPT) and Google AI (Gemini). He provides practical examples, step-by-step lessons, and additional resources that help simplify complex topics, allowing you to easily apply your skills to real-world projects.

Do you need to be concerned?

This course comes with a 30-day money-back guarantee.

Join our course today to learn how to build your first application in React.

What's inside

Learning objectives

How to build ai chatbot application using react. js
How to integrate google ai (chat gpt) and open ai (gemini) api
How to enable real-time message streaming
How to add light and dark mode support to chatbot ui
How to auto-resizable text field for smoother user experience

How to display a loading state for improved user feedback during ai processing.
How to incorporate markdown support for richer message formatting.
How to improve auto-scrolling behavior to maintain chat visibility during updates
And much more to enhance skills in react. js and ai integration.

How to build ai chatbot application using react. js
How to integrate google ai (chat gpt) and open ai (gemini) api
How to enable real-time message streaming
How to add light and dark mode support to chatbot ui
How to auto-resizable text field for smoother user experience
How to display a loading state for improved user feedback during ai processing.
How to incorporate markdown support for richer message formatting.
How to improve auto-scrolling behavior to maintain chat visibility during updates
And much more to enhance skills in react. js and ai integration.

Syllabus

This section is an introduction to the course.

This lesson is an introduction to the course.

In this lesson you will get a few tips for learning on the platform.

In this lesson, you will explore how to study on the platform.

In this lesson, you are going to learn how to download the code sources for the application and lessons.

In this section, you will set up your environment, create a React app, and clean up its code.

In this lesson you will get an overview of the chatbot, see its design, and explore all the features we’ll be building together.

In this lesson you will learn what generative AI is and see real-life examples of how it is used.

In this lesson you will start setting up your development environment, everything you need to have to create React application.

In this lesson you will learn how to quickly create a React application that is ready to run out of the box.

In this lesson you will clean up a bit our React application from not necessary code.

In this section, you will build the layout, display messages, add input, and handle user messages.

In this lesson you will learn how to build application layout for chatbot.

In this lesson you will learn how to display and styles chat messages in the application.

In this lesson you will learn how to add a text input and send button, enabling users to type and send messages to the AI assistant

In this lesson you will learn how to implement adding new messages form a user into conversation.

In this section, you will explore AI APIs, set up keys, connect them, and isolate their logic for reuse.

In this lesson you will learn about popular AI APIs, such as Google AI (Gemini) and OpenAI (ChatGPT)

In this lesson you will learn how to create Google AI API key and how to store it in the application.

In this lesson you will learn how to connect Google AI API into your application.

In this lesson you will learn how to separate the Google AI logic into separate file for easier reuse.

In this lesson you will learn how to create Open AI API key and how to store it in the application.

In this lesson you will learn how to connect Open AI API into your application.

In this section, you will add a loader, markdown support, auto-resize, auto-focus, auto-scroll, dark mode, and loading controls.

In this lesson you will learn how to create a loader component and display it while waiting for a response from the API.

In this lesson you will learn how to add markdown support to chat messages, allowing you to display formatted content such as bullet lists, bold text, and more.

In this lesson, you will learn how to make the text field height auto-resizable when the user enters long text, allowing it to expand and take up more lines.

In this lesson, you will learn how to disable the text field and send button during loading, preventing the user from entering new text or sending messages.

In this lesson you will learn how to set up auto-focus for the text field, so it automatically activates whenever the chatbot generates a response, improving the flow of the conversation.

In this lesson you will learn how to implement auto-scrolling to the bottom of the chat, ensuring users can always see the latest response.

In this lesson you will learn how to improve the auto-scrolling feature to focus on the latest user message, making it easier for users to follow the most recent conversation.

In this lesson you will learn how to add dark mode support to your chat application, allowing users to switch between light and dark themes for a better user experience.

In this section, you will explore popular AI APIs, set up API keys, connect them for chatting, and isolate their logic for reuse.

In this lesson you will learn how to integrate Google AI (Gemini) for real-time streaming, enabling dynamic and continuous responses from the AI.

In this lesson you will learn how to integrate the chat streaming AI feature into the app component and handle the loading state efficiently.

In this lesson you will learn how to integrate Open AI (ChatGPT) for real-time streaming, enabling dynamic and continuous responses from the AI.

This section is a summary to the course.

In this lesson you will learn how to leave a review for the course.

In this lesson you will learn how to get a certificate.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Covers integrating AI APIs like ChatGPT and Gemini into React applications, which is valuable for developers looking to add AI-powered features to their projects

Teaches how to build a real-time AI chatbot with features like message streaming and auto-scrolling, which are useful for creating engaging user experiences

Requires fundamental React.js knowledge, so learners without this background may need to acquire it before taking the course

Explores both Google AI (Gemini) and OpenAI (ChatGPT) APIs, providing a broader understanding of AI integration options for React developers

Includes lessons on setting up the development environment and obtaining API keys, which are essential steps for working with AI APIs

Focuses on building a chatbot UI and implementing features like dark mode and markdown support, which are relevant for front-end development

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in React AI Chatbot App built with ChatGPT and Gemini AI with these activities:

Review React Fundamentals

Show steps

Reinforce your understanding of React fundamentals such as components, state management, and JSX syntax to better grasp the course material.

Browse courses on React.js

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Review official React documentation on components and props.
Practice building simple UI elements using React.
Familiarize yourself with state management using useState hook.

Brush up on JavaScript ES6+

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Strengthen your knowledge of modern JavaScript features like arrow functions, destructuring, and async/await to write cleaner and more efficient React code.

Browse courses on ES6

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Review ES6+ syntax and features on MDN Web Docs.
Practice using arrow functions and template literals.
Understand the concepts of promises and async/await.

Read 'Fullstack React'

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Expand your understanding of React concepts and best practices by reading a comprehensive guide.

View Putting Knowledge to Work on Amazon

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Read the chapters related to React components and state management.
Explore the sections on testing and deployment.

Four other activities

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Show all seven activities

Build a Simple Chat Interface

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Practice building a basic chat interface using React to solidify your understanding of component composition, state management, and event handling.

Show steps

Create a React component for displaying chat messages.
Implement a form for submitting new messages.
Use state to manage the list of messages.
Style the chat interface using CSS or a CSS framework.

Follow OpenAI API Tutorials

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Learn how to effectively use the OpenAI API by following tutorials that demonstrate different use cases and functionalities.

Browse courses on ChatGPT

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Find tutorials on the OpenAI website or other reputable sources.
Implement the code examples in a React application.
Experiment with different API parameters and settings.

Write a Blog Post on AI Chatbot Development

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Deepen your understanding of AI chatbot development by writing a blog post that explains the key concepts and steps involved.

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Research the different aspects of AI chatbot development.
Outline the structure of your blog post.
Write clear and concise explanations of the key concepts.
Include code examples and screenshots to illustrate your points.
Proofread and edit your blog post before publishing.

Contribute to a React Open Source Project

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Enhance your React skills and contribute to the community by participating in an open-source project.

Browse courses on React.js

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Find a React open-source project on GitHub.
Read the project's documentation and contribution guidelines.
Identify a bug or feature that you can work on.
Submit a pull request with your changes.

Career center

Learners who complete React AI Chatbot App built with ChatGPT and Gemini AI will develop knowledge and skills that may be useful to these careers:

Chatbot Developer

A Chatbot Developer specializes in creating and implementing conversational interfaces. This course is highly relevant, providing hands-on experience in building a real-time AI chatbot using React, ChatGPT, and Gemini APIs. A Chatbot Developer would directly benefit from the course's structure, learning how to set up the development environment, design the user interface, and integrate AI for real-time chat functionality. The course covers features like message streaming, auto-resizable text fields, Markdown, and dark mode, critical for creating a robust and user-friendly chatbot. The course focuses on both front-end and AI aspects, allowing a Chatbot Developer to develop a full understanding of creating intelligent conversational applications.

See salaries and explore the career path for Chatbot Developer

AI Application Developer

An AI Application Developer specializes in building applications that utilize artificial intelligence. This course directly supports the role by teaching the practical application of AI APIs, specifically with Google's Gemini and OpenAI's ChatGPT, in a React-based chat application. The course helps one to understand how to manage API keys, integrate real-time chat functionalities, and isolate logic for reusability. An AI Application Developer would find the training in message streaming, handling of delayed responses, and implementation of user experience features immediately valuable. This course will help in the user interaction design aspect of AI and be instrumental in crafting real-time, intelligent user interfaces.

See salaries and explore the career path for AI Application Developer

User Interface Engineer

A User Interface Engineer focuses on creating intuitive and engaging user interfaces. This course is directly applicable, as it teaches the construction of a user-friendly chat application with real-time interactions and multiple AI integrations. A User Interface Engineer would gain hands-on experience in designing the layout, displaying chat messages, handling user inputs, and implementing features like auto-resizable text fields, auto-scrolling, and dark mode. An emphasis on improving the user experience through loading states, Markdown support, and auto-scrolling behaviors will help one build a more practical understanding of design. The course provides practical experience with React and can improve a User Interface Engineer's ability to design and implement modern, user-centric interfaces.

See salaries and explore the career path for User Interface Engineer

Frontend Developer

A Frontend Developer builds the user interface and experience for websites and applications. This course on creating AI chatbots with React directly aligns with the skills needed, focusing on real-time interactions and dynamic UI elements. The course helps build a foundation in React.js, and shows how to integrate AI functionalities using both Google and Open AI APIs. A Frontend Developer could use this course to enhance their ability to develop interactive and intelligent features, like chat interfaces, into their products. The course's emphasis on best practices and user experience improvements directly translates to building more engaging and functional user interfaces. A person working as a Frontend Developer could immediately benefit from the practical skills to create more modern and intelligent web applications for their users.

See salaries and explore the career path for Frontend Developer

Software Engineer

A Software Engineer develops and maintains software systems. This course helps a software engineer learn how to build a real-time AI chatbot using React, ChatGPT, and Google Gemini APIs, which demonstrates mastery of complex application building. A Software Engineer who wishes to expand their toolset into AI powered applications would find this course beneficial. It will provide insight into building a functional interface with React, integrating popular AI APIs, and developing the user experience. It will help a Software Engineer gain the knowledge to tackle real-world projects, particularly in applications that require AI interaction. The course's focus on creating a chatbot with features like real-time message streaming, auto-resizable text fields, and dark mode support provides practical skills.

See salaries and explore the career path for Software Engineer

Web Application Developer

A Web Application Developer is responsible for developing and maintaining applications for the web. This course provides practical knowledge for building AI-driven chat applications, a currently desirable feature, and can help a Web Application Developer stand out from the crowd. The course will help to learn to build a real-time chatbot using React, ChatGPT, and Google Gemini APIs, focusing on various aspects of web application development. A Web Application Developer can use the course to gain hands-on skills in managing real-time message streaming, implementing auto-resizable text fields, and enhancing user experience with features like dark mode and markdown support. The course helps one understand the integration of AI in a web application development setting.

See salaries and explore the career path for Web Application Developer

Emerging Technology Specialist

An Emerging Technology Specialist focuses on new and innovative technologies, such as artificial intelligence. This course, focused on building an AI chatbot with React, is directly applicable to this role. An Emerging Technology Specialist can learn the practicalities of implementing AI, particularly in user interfaces through chat functionality. The course will help to gain hands-on experience with AI API integration, message streaming, and front-end development, all of which are valuable when exploring the potential of AI. The course content explores integrating AI with React, allowing the specialist to evaluate the suitability and application potential of AI in modern web applications.

See salaries and explore the career path for Emerging Technology Specialist

Interactive Media Developer

An Interactive Media Developer creates engaging interactive applications. Building a real-time AI chatbot with React, ChatGPT, and Gemini APIs is a valuable skill for interactive media. The course helps an Interactive Media Developer learn front-end development using React, understand user interaction with AI, and build the user interface. The course details the practical application of integrating popular AI APIs. The course content on messaging, auto-resizable text fields, and auto-scrolling can allow an Interactive Media Developer to deliver better interactive experiences, enhancing user engagement through intelligent conversation and responsive designs.

See salaries and explore the career path for Interactive Media Developer

Full-Stack Developer

A Full Stack Developer works on both the front-end and back-end of web applications. This course, while focused on the front-end with React, introduces the integration of AI APIs, a valuable skill for full-stack work. A Full Stack Developer will learn to manage API keys, implement real-time chat functionality, and handle both front-end and the AI aspects of a project. The course helps in understanding user interaction, and how to enhance the front-end experience with AI. A Full Stack Developer can learn to integrate AI to make intelligent applications by following this course, which covers both the React side of application development and the connection with AI through practical application demonstrations. The course will help one build their skill set to create better full stack applications.

See salaries and explore the career path for Full-Stack Developer

Digital Product Developer

A Digital Product Developer is responsible for creating and enhancing digital products. This course can provide a foundation for building the front-end of AI-powered digital products, by creating an AI chatbot using React. This course can help a Digital Product Developer get hands-on experience with user interface design, implementation of real-time messaging, and integration of artificial intelligence. The course provides the necessary skills to enhance digital products with intelligent AI-driven features, which is a valuable edge for digital product developers. The course's practical approach, focusing on design, user experience, and AI integration, directly aligns with a Digital Product Developer's daily responsibilities.

See salaries and explore the career path for Digital Product Developer

UX Designer

A UX Designer is focused on the user experience and the interface design of applications. While a UX designer may not write code, understanding what is possible with a user interface is a major benefit. In this course, a UX Designer will learn about building and designing a real-time chat interface using React. This course helps the UX designer explore the practical aspects of user interface design by building a functional chat application. The UX designer will review implementation details of features such as message streaming, auto-resizable text fields, and dark mode support, as well as user experience enhancements such as auto-scrolling and loading states. A UX Designer can use this course to better understand what is possible for a developer to implement and how those design choices impact the user experience.

See salaries and explore the career path for UX Designer

Mobile Application Developer

A Mobile Application Developer builds applications for mobile devices. This course focuses on React, which can be used to build cross-platform mobile applications. This course helps a Mobile Application Developer learn how to integrate AI features into mobile apps using React Native, and enhance user experience using dynamic interfaces. The course provides practical experience with AI functionalities, which can be useful to build smarter and more interactive mobile applications. This course can be a useful foundation in React and its use in AI features for a Mobile Application Developer, who can apply the same design principles to build chat interfaces on a mobile device using React Native.

See salaries and explore the career path for Mobile Application Developer

Solutions Architect

A Solutions Architect designs and plans technology solutions, and needs to have a broad understanding of the technology landscape. This course can be a valuable addition to the skill set for those who want to better understand how to integrate an AI interface. This course helps one to understand the front-end aspects of AI implementation using React, along with its interplay with AI APIs such as ChatGPT and Gemini. A Solutions Architect will gain knowledge of real-time interactions, API management, and user interface design for AI-powered applications. This course may prove useful to understanding front-end development concerns in order to plan and implement practical AI solutions.

See salaries and explore the career path for Solutions Architect

AI Solutions Architect

An AI Solutions Architect designs and oversees the implementation of AI solutions. While this role typically requires an advanced degree, this course will help a less experienced architect to understand the practical aspects of AI interface development with React. The course covers the integration of both Google AI and Open AI APIs, which is useful in planning the architecture for real-time applications. The course provides a practical understanding of message streaming, managing API keys, and isolating logic for reusability. This course may be useful to understand the front-end aspect when designing the overall AI solutions for an organization. The course can help provide insight into the real-time interaction aspects of AI.

See salaries and explore the career path for AI Solutions Architect

Technology Consultant

A Technology Consultant advises clients on how to use technology to improve their business. While a consultant may have a broad focus, this course offers hands-on experience in AI integration, specifically with chatbot development, which can be a useful skill. A Technology Consultant will gain understanding of real-time interactions, API integration, and user experience improvements using tools such as React, ChatGPT, and Gemini. This course may provide a useful foundation for discussing the practicalities of AI integration in customer-facing applications. The consultant could use this information to better advise on creating AI-powered customer interaction platforms.

See salaries and explore the career path for Technology Consultant

React AI Chatbot App built with ChatGPT and Gemini AI

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