Udemy – Build a Full-Stack SaaS LLM ChatBot + WebApp In Production 2025-8

Udemy – Build a Full-Stack SaaS LLM ChatBot + WebApp In Production 2025-8 Downloadly IRSpace

Aug 20, 2025 - 11:03

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Udemy – Build a Full-Stack SaaS LLM ChatBot + WebApp In Production 2025-8

Build a Full-Stack SaaS LLM ChatBot + WebApp In Production. This comprehensive course introduces participants to building an intelligent chatbot and a full-stack web application based on large language models (LLM) and takes it to production. The course is designed to prepare you to become a full-stack machine learning engineer, a role that is in high demand and highly paid in the current AI revolution. The instructor, Dylan P., is a senior engineer with years of experience at large technology companies, and unlike many purely theoretical or development-only courses, this one focuses on building real, production-ready applications. You’ll learn from start to finish how to build an integrated system that uses industry best practices and tools like Docker for containerization, PostgreSQL for the database, Celery and Redis for asynchronous processing and caching, FastAPI for building high-speed APIs, and Railway for deployment. The program will be designed to scale to support thousands of users. In addition, you will work with a wide range of models, from classic machine learning models to advanced transformers and Hugging Face LLMs for processing text, audio, and video data, and you will also learn critical topics such as unit and integration testing, distributed computing, and cost and performance optimization. By the end, you will not only have a deep understanding of the entire lifecycle of building and deploying an AI-based SaaS application, but also build a complete and impressive project for your portfolio that demonstrates your ability to create business impact.

What you will learn

Build complex web applications: Build complex web applications using Flask, Redis, Celery, PostgreSQL, and Docker.
Building Machine Learning APIs: You build machine learning APIs with Flask and Large Language Models (LLMs).
Building LLM-powered chatbots: You build chatbots that can handle text, images, audio, and documents.
Deploying SaaS applications in production: You will learn how to deploy SaaS applications in production on Railway.
Gain new skills to enhance your resume: You will gain new skills to strengthen and enhance your resume.

This course is suitable for people who:

Software engineers: who are looking to transition into the high-paying field of ML engineering.
Data scientists: who want to level up by learning deployment and production skills.
Computer science students or people changing majors mid-career: and want to strengthen their portfolio.
Freelance consultants/entrepreneurs: who are interested in building their own applications or SaaS products powered by ML.
Beginners: To get started with automation and deployment using the GitHub ecosystem.