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AI, Machine Learning & Data Science2024-10 Edition100% Free Video Course

Newline – Responsive LLM Applications with Server-Sent Events

Responsive LLM Applications with Server-Sent Events. This course explores the challenges of integrating large language models (LLMs) into real-time streaming user interfaces (UIs). In this course, you will learn how to seamlessly integrate LLM APIs into applications and build AI-powered text and chat UIs using TypeScript, React, and Python. Step by step, we will build a full-stack AI application with high-quality code and highly flexible implementation.This application can be used as a starting point for most projects, saving significant time, and its flexibility allows for the addition of new tools as needed. By the end of this course, you will have mastered the complete implementation of a flexible, high-quality LLM application. This course will also equip you with the knowledge and skills to create your own complex LLM solutions.

5.0
(1 reviews)
1.6 Hours On-Demand
Created by Louis Sanna
Uploaded Sep 2026
English
Beginner to advanced
Newline – Responsive LLM Applications with Server-Sent Events
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Free$129.99100% Free

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Course Features:
1.6 hours on-demand video
24 complete lectures
1 downloadable project zip file(s)
Streamable on mobile, tablet & desktop
Self-paced curriculum with progress tracking
Direct MP4 downloads & offline video access
Verified course archives hosted on cloud infrastructure.

What You'll Master in this Course

How to design systems for AI applications
How to stream the response of a large language model
Differences between Server-Sent Events and WebSockets
The importance of real-time for the GenAI user interface
How asynchronous programming works in Python
How to integrate LangChain with FastAPI
What problems can enhanced recovery solve?
How to create an AI agent

Requirements

  • Basic enthusiasm to learn and follow along with lessons
  • A computer or mobile device with a modern internet connection

Description

Responsive LLM Applications with Server-Sent Events. This course explores the challenges of integrating large language models (LLMs) into real-time streaming user interfaces (UIs). In this course, you will learn how to seamlessly integrate LLM APIs into applications and build AI-powered text and chat UIs using TypeScript, React, and Python. Step by step, we will build a full-stack AI application with high-quality code and highly flexible implementation.This application can be used as a starting point for most projects, saving significant time, and its flexibility allows for the addition of new tools as needed. By the end of this course, you will have mastered the complete implementation of a flexible, high-quality LLM application. This course will also equip you with the knowledge and skills to create your own complex LLM solutions.

Instructor

L

Louis Sanna

Specialist in AI, Machine Learning & Data Science

Passionate educator focused on real-world practical skills, modern frameworks, and production-ready engineering practices. Delivering step-by-step masterclasses accessible to learners globally on MJ Accedemy.

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