Gen Ai In Javascript: Create Innovative Web Apps With Ai

Front End Web Development using Generative AI JavaScript SDKs to Create Rich User Experiences in the Web Apps

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

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

Gen AI in JavaScript & React Apps: Full Guide with 3 ProjectsImagine leveraging the power of Generative AI technologies to bring innovation into your web applications. In this course, you’ll learn how to integrate Google AI and OpenAI JavaScript SDKs directly into your React applications, transforming them into intelligent, interactive experiences.What You'll BuildThroughout this course, you’ll create 3 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.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 SchemaOne 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 AIIn 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 FunctionsPersonalized 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.

Overview

Section 1: Getting Started with AI JavaScript SDKs

Lecture 1 Setting Up The Environment

Lecture 2 Getting Started with Project #1: Science Facts Generator

Lecture 3 Integrating the Google AI SDK

Lecture 4 Implementing Error Handling

Lecture 5 Working With JSON Structured Responses

Lecture 6 Presenting the AI-Generated Categories

Lecture 7 Selecting a Category

Lecture 8 Generating the Category-Based Science Fact

Section 2: Chatbot Assistants & Streamed Responses

Lecture 9 Project #2: The Chat Assistant - HTML & CSS Parts

Lecture 10 Collecting User Messages

Lecture 11 Starting the Chat With Google AI

Lecture 12 Handling API Errors

Lecture 13 Feeding the Model with the Business Information

Lecture 14 Adding a Loader to the Chat

Lecture 15 Adding Streamed Responses

Lecture 16 Final Improvements to the chat

Section 3: Vision Capabilities for Image & Video Prompts

Lecture 17 Project #3: Image and Document Processing

Lecture 18 Creating a New React Project

Lecture 19 CSS Code For the Project

Lecture 20 The Basic Components of the Project

Lecture 21 The File Upload Functionality

Lecture 22 Passing the File to the Summary Component

Lecture 23 Getting the Summary From Google AI

Lecture 24 Adding a Loader to the Summary Component

Lecture 25 Displaying the Image Preview to Users

Lecture 26 Working with PDF Documents

Lecture 27 CSS For the Chat Component

Lecture 28 The Chat Component

Lecture 29 The Chat Functionality

Lecture 30 Chatting with Google AI

Section 4: Keeping Your API Keys Safe

Lecture 31 Security Issues with API Keys in Web Apps

Lecture 32 Secure Gen AI Integration with Firebase Vertex AI

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