Responsive LLM Applications with Server-Sent Events
1h 18m 18s
English
Paid
Large Language Models (LLM) are transforming entire industries, but integrating them into user interfaces with real-time data streaming comes with unique challenges. In this course, you will learn to seamlessly embed LLM APIs into applications and create AI interfaces for streaming text and chats using TypeScript, React, and Python. We will develop a fully functional AI application step by step with high-quality code and flexible implementation.
Read more about the course
As part of the course, you will create an LLM application that includes:
- autocompletion scenario (translation from English to emoji),
- chat,
- retrieval augmented generation scenario,
- AI agent usage scenarios (code execution, data analysis agent).
This application can become a starting point for most projects, saving a lot of time, and its flexibility allows for the addition of new tools as needed.
By the end of the course, you will have mastered the end-to-end implementation of a flexible and high-quality LLM application. You will also gain the knowledge and skills necessary to create complex solutions based on LLM.
Watch Online Responsive LLM Applications with Server-Sent Events
Join premium to watch
Go to premium
# | Title | Duration |
---|---|---|
1 | Introduction to AI Product Development | 03:48 |
2 | Picking the stack - Navigating JavaScript and Python | 06:10 |
3 | Designing a Hybrid Web Application Architecture with JavaScript and Python | 05:08 |
4 | Streaming events with Server-Sent Events and WebSockets | 06:31 |
5 | Discovering the OpenAI Completion API | 06:30 |
6 | Handling Server-Sent Events with JavaScript | 06:14 |
7 | Building the useCompletion hook | 07:01 |
8 | Rendering Completion Output | 01:26 |
9 | Mocking Streams | 03:29 |
10 | Testing the useCompletion hook | 03:11 |
11 | Creating a FastAPI server | 01:55 |
12 | Exploring asynchronous programming in Python | 03:42 |
13 | Integrating Langchain with FastAPI for Asynchronous Streaming | 04:34 |
14 | Testing with PyTest and LangChain | 01:02 |
15 | Building the useChat hook | 05:12 |
16 | Building the User Interface | 01:53 |
17 | Discovering Retrieval Augmented Generation | 03:19 |
18 | Building a Semantic Search Engine with Chroma | 03:37 |
19 | Adding Retrieval-Augmented Generation to the chat | 02:14 |
20 | Final words | 01:22 |
Similar courses to Responsive LLM Applications with Server-Sent Events

Uber Clone - Typescript, NodeJS, GraphQL, React, ApolloNomad Coders
Category: TypeScript, React.js, Node.js, GraphQL
Duration 22 hours 41 minutes 56 seconds
Course

Mastering React With Interview Questions,eStore Project-2024udemy
Category: React.js
Duration 16 hours 53 minutes 3 seconds
Course
![React & TypeScript Chrome Extension Development [2021]](https://cdn.courseflix.net/courses/100x56/react-typescript-chrome-extension-development-2021.jpg?d=1747037995237)
React & TypeScript Chrome Extension Development [2021]udemy
Category: TypeScript, React.js, Others
Duration 8 hours 52 minutes 35 seconds
Course

TypeScript with Vue.js 3vueschool.io
Category: TypeScript, Vue
Duration 1 hour 37 minutes 47 seconds
Course

React Hooksui.dev (ex. Tyler McGinnis)
Category: React.js
Duration 3 hours 47 minutes 48 seconds
Course

Zero to Full Stack Heropapareact.com
Category: JavaScript, React.js, Others, CSS, Node.js, GraphQL, Firebase
Duration 101 hours 29 minutes 59 seconds
Course

Python Django Dev To DeploymentudemyBrad Traversy
Category: Python, Django
Duration 11 hours 7 minutes 11 seconds
Course

Testing React Apps with React Testing Librarycodewithmosh (Mosh Hamedani)
Category: React.js
Duration 6 hours 48 minutes 20 seconds
Course

The Complete Python Course | Learn Python by Doingudemy
Category: Python
Duration 35 hours 20 seconds
Course

Mathematical Foundations of Machine Learningudemy
Category: Python, Data processing and analysis
Duration 16 hours 25 minutes 26 seconds
Course