Gen AI in JavaScript: Create Innovative Web Apps with AI

English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 32 lectures (3h 38m) | 1.86 GB

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

Gen AI in JavaScript & React Apps: Full Guide with 3 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 AI and OpenAI JavaScript SDKs directly into your React applications, transforming them into intelligent, interactive experiences.

What You’ll Build

Throughout 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 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.

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