AI-Powered JavaScript, Vue and React Apps with Google Gemini

Name: AI-Powered JavaScript, Vue and React Apps with Google Gemini
Rating: 4.6 (1892 reviews)

Build AI Chatbots and Integrate Gen AI Features into your Web Apps using JavaScript SDKs from Google Gemini

Created byIvan Lourenço Gomes

Last updated 7/2026

English

English [Auto],Korean [Auto],

What you'll learn

Integrate Generative AI into Web Apps: Learn how to use Google AI JavaScript SDKs to add AI features to your Apps
Build AI-Powered Web Projects: Develop three practical projects, including a science facts generator, a chatbot assistant, and a document/image processing app
Customize AI Responses with JSON: Master JSON schema to control and refine AI-generated outputs for structured and meaningful user interactions
Secure AI Integrations in Web Apps: Understand security best practices for handling API keys and safely integrating AI models into your front-end and Apps
Enhance User Experience with AI: Use AI for content generation, chat automation, document summarization, and recommendation engines to create engaging web apps

Course content

5 sections • 52 lectures • 5h 26m total length

Course Introduction2:06
Setting Up The Environment2:45
Installing the Development Tools (Node & Vite), Creating the First React Project & Getting a Google AI API Key
Getting Started with Project #1: Science Facts Generator8:15
Google AI SDK Code0:08
Integrating the Google AI SDK7:48
Implementing Error Handling2:42
Working With JSON Structured Responses5:05
Presenting the AI-Generated Categories5:19
Selecting a Category3:22
Generating the Category-Based Science Fact7:29
Exercise: How to Use Content Generation on Real-World Scenarios2:18
Explore real-world use cases for Gemini's content generation in JavaScript web apps. Describe situations or people this product suits on product pages.

Project #2: The Chat Assistant - HTML & CSS Parts14:55
Collecting User Messages8:12
Code for the Next Lesson0:13
Starting the Chat With Google AI7:14
Handling API Errors4:41
Implement robust error handling for API requests using try-catch, surface clear user feedback when the Google Gemini API is unavailable or overloaded, and avoid updating history on failed messages.
Updates to the Gemini Documentation - Text Generation with System Instructions0:14
Feeding the Model with the Business Information6:03
Adding a Loader to the Chat4:19
Adding Streamed Responses8:15
Final Improvements to the chat11:19

Project #3: Image and Document Processing3:02
Upload image files or PDF documents to Gemini to generate knowledge, preview the file, and ask questions about it, using React for a cleaner, more maintainable app.
Creating a New React Project4:10
Create a new React project with Veet, ensure Node.js is installed, install Veet globally, install dependencies, and run the dev server to view the app locally.
CSS Code For the Project0:22
The Basic Components of the Project7:18
Clean up the project, reset CSS, and build a React layout with a header and a file upload component to upload documents or images for a summary and chat.
The File Upload Functionality9:23
Passing the File to the Summary Component9:22
Getting the Summary From Google AI5:22
Adding a Loader to the Summary Component12:10
Add a loader to the summary component using useState and useEffect, manage a status of idle, loading, and success, and conditionally render the Google Gemini summary.
Displaying the Image Preview to Users4:13
Working with PDF Documents7:33
CSS For the Chat Component0:30
The Chat Component5:40
The Chat Functionality10:37
Chatting with Google AI10:52
Exercise: How to Use Chat Assistant on Real-World Scenarios1:33
Prototype JNI-based AI chatbots in web apps, one from business information and another from images and documents, and embed an on-page chat box that answers from the page content.

CSS Code for the Project1:12
Creating a New Vue JS Project with Vite3:42
Create a brand new Vue.js project with Vite, install dependencies, start a local server, and set up the initial app structure with a fresh component and existing CSS baseline.
The Start Screen of the Application6:07
Getting the Quiz Topic From the User9:45
Capture the quiz topic via script setup using vue ref and v-model, disable the start button until a topic is entered, then emit the topic to trigger Gemini API.
Getting the Quiz Question from Google Gemini5:58
Getting Structured JSON Responses8:03
Changing Screens with Declarative UI7:58
Presenting The Question to the User6:30
Writing The Logic to Control the Current Question3:05
Learn to manage the current question state using a ref, initialize it to zero, and increment it with a dedicated submit answer function to present options and store responses.
Presenting the Options to the User9:04
Selecting and Submitting an Answer10:09
Learn to select and submit quiz answers using a ref for the chosen option, show active choice in UI, and emit a store-answer event with the question and user answer.
Ending the Quiz8:24
End the quiz when the last question is answered by updating a header with the current one out of total, showing a progress bar, and emitting end-quiz to reveal results.
Presenting the Results11:52
Learn to present quiz results by passing user answers to a result component, render each question with user and correct answers, and show a computed total of correct responses.
Final Improvements - Error Handling and The Restart Button10:09

Requirements

HTML & CSS – Basic web development skills to structure and style your applications.
JavaScript – Basic understanding of variables, functions and async operations.
React or Vue (Optional) – If you want to follow along with the React/Vue examples, basic familiarity with components and state management is helpful.
No AI or Machine Learning experience is required! This course focuses on using ready-made AI SDKs to enhance web applications without needing deep AI expertise.

Description

Generative AI in JavaScript, Vue & React Apps: Full Guide with 4 Projects

Imagine leveraging the power of Generative AI technologies to bring innovation into your web applications.

In this course, you’ll learn how to integrate Google Gemini JavaScript SDKs directly into your Web Applications, transforming them into intelligent, interactive experiences.

What You'll Build

Throughout this course, you’ll create 4 hands-on projects that showcase real-world applications of AI, from simple HTML & CSS projects to React and Firebase environments. Each project is designed to help you build practical skills that will set you apart as a developer. Here are just a few examples of what you’ll work on:

Content Generation – Create a science facts generator based on the category chosen by the user.
Chatbot Assistant – Set up a conversational chatbot that can answer questions, provide guidance, or hold a friendly chat, following business guidelines and information.
Document Processing – Analyze images and pdf documents, summarize them and answer any questions from the user about it.
Quiz Generator – Create an interactive quiz for any topic entered by the user.

These projects will empower you to build AI-powered features that are both useful and engaging, giving you a portfolio that demonstrates your expertise in applied AI.

Customizing AI Responses with JSON Schema

One of the most powerful aspects of this course is learning how to customize AI responses using JSON schema. You’ll gain control over the structure and format of AI-generated content, enabling you to adapt it to a wide range of use cases.

With JSON schema, the possibilities are endless—whether you're building educational tools, storytelling apps, or task assistants, you’ll have the skills to shape AI outputs exactly as you envision.

Executing Cloud Functions with AI

In this course, you’ll also learn how to execute cloud functions to expand the capabilities of your applications, allowing you to trigger AI tasks in response to user actions and automate backend workflows. By combining Firebase and AI, you’ll be able to create powerful, data-driven applications with real-time insights.

Example Projects for Cloud Functions

Personalized Recommendation Engine – Use AI to analyze user behavior and generate tailored recommendations, enhancing user engagement.
Automated Content Analysis – Build a backend service that evaluates user-generated content, provides real-time sentiment analysis, and offers insights to users.

These examples demonstrate the versatility and power of cloud functions, enabling you to create AI-enhanced applications that are both interactive and scalable.

Who this course is for:

Beginner JavaScript developers curious about integrating Gen AI into their projects
Frontend developers looking to add AI-powered features to their web apps
React & Vue developers who want to leverage AI APIs and SDKs
Tech professionals exploring AI-driven web app ideas
Tech learners & students wanting an easy intro to AI in web development

AI-Powered JavaScript, Vue and React Apps with Google Gemini

What you'll learn

Explore related topics

Course content

Getting Started with AI JavaScript SDKs11 lectures • 47min

Chatbot Assistants & Streamed Responses10 lectures • 1hr 5min

Vision Capabilities for Image & Video Prompts15 lectures • 1hr 32min

Keeping Your API Keys Safe2 lectures • 20min

Quiz Generator with Vue JS14 lectures • 1hr 42min

Requirements

Description

Who this course is for: