ChatGPT AI Voice Chatbot Build with React and FAST API Combo

ChatGPT AI Voice Chatbot Build with React and FAST API Combo, available at $99.99, has an average rating of 4.55, with 60 lectures, 1 quizzes, based on 379 reviews, and has 3260 subscribers.

You will learn about Develop a realistic human sounding chatbot who can take on almost any task Integrate ChatGPT and Eleven Labs AI into any application Develop a diverse chatbots with voice, interviewers, sales people, Spanish teachers Understand how full stack applications with a frontend and backend can work Get familiar with React and FastAPI technologies Interact with AI real-time in a fun and exciting way Understand prompt engineering and the ease of integration into chatbots This course is ideal for individuals who are Beginner developer and AI enthusiasts who want to build valuable applications to bring to themselves or to the marketplace. or SAAS developers who want to monetise on the booming trend of AI It is particularly useful for Beginner developer and AI enthusiasts who want to build valuable applications to bring to themselves or to the marketplace. or SAAS developers who want to monetise on the booming trend of AI.

Enroll now: ChatGPT AI Voice Chatbot Build with React and FAST API Combo

Summary

Title: ChatGPT AI Voice Chatbot Build with React and FAST API Combo

Price: $99.99

Average Rating: 4.55

Number of Lectures: 60

Number of Quizzes: 1

Number of Published Lectures: 60

Number of Published Quizzes: 1

Number of Curriculum Items: 61

Number of Published Curriculum Objects: 61

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Develop a realistic human sounding chatbot who can take on almost any task

Integrate ChatGPT and Eleven Labs AI into any application

Develop a diverse chatbots with voice, interviewers, sales people, Spanish teachers

Understand how full stack applications with a frontend and backend can work

Get familiar with React and FastAPI technologies

Interact with AI real-time in a fun and exciting way

Understand prompt engineering and the ease of integration into chatbots

Who Should Attend

Beginner developer and AI enthusiasts who want to build valuable applications to bring to themselves or to the marketplace.

SAAS developers who want to monetise on the booming trend of AI

Target Audiences

Beginner developer and AI enthusiasts who want to build valuable applications to bring to themselves or to the marketplace.

SAAS developers who want to monetise on the booming trend of AI

Develop a human-like voice assistant with ChatGPT and Eleven Labs to make one of the most advanced Chatbots today so that you can prove that not only will coders survive the AI transition happening right now, but that they will thrive.

With just some basic knowledge on python and javascript, you are going to build Rachel Chat, a chatbot which uses the power of ChatGPT for conversation, whether it be for sales, teaching you Spanish (or any language), talking about sci-fi movies – whatever your interest and application is.

Companies are looking for developers who can build such tools and SAAS startups have a window to be first. If you are curious as to how you can connect new AI technologies to change the world then THIS is the course for you.

You will learn:

How to work with the Open AI API and Eleven Labs API

How to integrate React and FastAPI to build efficient and robust full-stack applications

How to build a voice assistant that actually sounds human (you can even use your own voice)

How to perform prompt engineering so that you can truly leverage and customise the power of AI large language models

We are truly excited to see what you develop, so make sure you share your application with the world.

See you in class!

Shaun

Course Curriculum

Chapter 1: Introduction and Resources

Lecture 1: What We Are Building

Lecture 2: About Your Instructor

Lecture 3: Course Structure

Lecture 4: Expectation vs Reality

Lecture 5: Tech Stack – Backend

Lecture 6: Tech Stack – Frontend

Lecture 7: Tech Stack – Styling

Lecture 8: CODE Package Resources

Lecture 9: Resource Instructions

Lecture 10: WARNING: OpenAI API Occasional Delay

Chapter 2: Extra: (OPTIONAL) – React Crash Course

Lecture 1: MUST READ

Lecture 2: Create React App with Vite

Lecture 3: Install Tailwind

Lecture 4: What We Are Building

Lecture 5: Your First Component

Lecture 6: What Just Happened

Lecture 7: Optional Reading – More On Technical Behind the Scenes

Lecture 8: Styling Our First Button

Lecture 9: Running a Parent Function From a Child (Passing Props)

Lecture 10: Monitor State and Handle Side Effects with useEffect

Lecture 11: BetBox Structuring

Lecture 12: Adding BetButton Functionality

Lecture 13: Random Org URL

Lecture 14: Send Axios Fetch Request

Lecture 15: Final Updates and Finishing Touches

Lecture 16: React Learning Next Steps

Chapter 3: Environment Setup – Frontend and Backend

Lecture 1: VS Code Recommendation and Plugins

Lecture 2: Folder Setup

Lecture 3: Python and Node Version Installation Checks

Lecture 4: FastAPI Python Backend Preparation and Package Installations

Lecture 5: Frontend JSON Script

Lecture 6: React Frontend Preparation and Package Installations

Lecture 7: Tailwind CSS Integration

Lecture 8: API Keys

Lecture 9: Setting Up Environment Variables

Chapter 4: Backend Build – Working with AI

Lecture 1: Important Note – Google Chrome

Lecture 2: Backend Initialisation with Imports and CORS

Lecture 3: About Docs and Endpoints

Lecture 4: Record Voice Snippet

Lecture 5: Convert Voice to Text with Whisper

Lecture 6: Prompt Engineering ChatGPT

Lecture 7: Receiving ChatGPT Response

Lecture 8: Store and Reset Message Data

Lecture 9: Eleven Labs API Docs Walkthrough

Lecture 10: Giving Rachel a Human Sounding Voice

Lecture 11: Frontend Preparation and Troubleshooting Discussion

Chapter 5: Frontend – React Web Application

Lecture 1: Important – Please Read

Lecture 2: Structuring Controller Component

Lecture 3: Title Component – Part I (Reset Function)

Lecture 4: Title Component – Part II (Render Completion)

Lecture 5: Controller Recorder Container

Lecture 6: Adding Audio Recording Functionality

Lecture 7: Animating a Record Icon

Lecture 8: Playing Back Audio and Blob Encoding

Lecture 9: Hello Rachel

Lecture 10: Full User Interaction and Tweaking

Lecture 11: Making Production Ready

Chapter 6: Next Steps

Lecture 1: Further Prompt Engineering and Use Cases

Lecture 2: Discord and Links

Lecture 3: Next Steps

Instructors

Shaun McDonogh
Lead Analyst and Full Stack (Python and React) Developer

Rating Distribution

1 stars: 4 votes

2 stars: 4 votes

3 stars: 15 votes

4 stars: 87 votes

5 stars: 269 votes

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