Master Python Microservices: Integrate LLM Models with Django, FastAPI & Celery!
4 videos • 2,073 views • by Coding for All Are you ready to level up your backend development skills? In this video, I’ll walk you through building a powerful Python microservice from scratch. You’ll learn how to: ✅ Use Django and FastAPI to create a robust microservices architecture ✅ Integrate Large Language Models (LLMs) to automate tasks like GitHub PR reviews ✅ Implement Celery for asynchronous task handling ✅ Build a scalable, production-ready system for real-world applications Whether you’re a beginner or an experienced developer, this tutorial will give you the skills to create AI-powered solutions with ease. 🌟 What You’ll Learn: Setting up a Python microservice with FastAPI. Leveraging Django for a clean and efficient backend. Integrating LLM models for intelligent GitHub PR reviews. Using Celery for background task processing. Building a scalable system for real-world use cases. 🔥 Why Watch This Video? This is NOT your basic tutorial. By the end, you’ll have a working knowledge of: Creating microservices with cutting-edge tech stacks. Integrating AI to automate developer workflows. Mastering advanced tools like Django, FastAPI, and Celery to build scalable systems. 📌 Key Benefits: Perfect for developers looking to learn AI integration. Great for building portfolio projects that impress recruiters. Ideal for backend developers wanting to stay ahead in 2024 and beyond. Don’t miss out on this game-changing Python tutorial—hit play now and start building smarter, faster, and better! Python Microservices Django FastAPI tutorial Integrate LLM with Python Celery microservice tutorial FastAPI Django integration LLM model tutorial Microservices with Celery Python backend development Django and FastAPI project GitHub PR review automation Build microservices with Python Django FastAPI Celery tutorial LLM integration tutorial AI-powered backend development Python asynchronous processing Large Language Model integration FastAPI microservice example Python Celery background tasks Scalable backend with Django AI in GitHub workflows How to build microservices in Python using Django and FastAPI Integrating Large Language Models with Python backend Automating GitHub pull request reviews using AI Django and FastAPI for AI-based backend development Using Celery for task queues in Python microservices Python tutorial for building scalable microservices FastAPI with Django for advanced backend projects AI integration in microservices architecture with Python Backend development 2024 AI-powered microservices Python AI tutorial GitHub automation with Python Django FastAPI Celery project django microservice django microservices django microservices authentication django rest microservices python django microservice django auth microservice django app microservices django celery microservices django flask microservices django rest framework microservice microservices in python django tutorial django kafka microservices django microservices project github django rest microservice django react microservices django rest api microservices django microservices with docker microservices with django rest framework microservices with django tutorial python microservice tutorial python microservices framework python microservices architecture python microservices interview questions is microservices easy to learn python microservices development which programming language is best for microservices microservices patterns with examples in python what is microservices for beginners django llm model llm model django 5 django user models llm ai model django 4 by example django model queries django models manager llm models github django orm query interview questions django mjml django z llm open model django framework mvt django tutorial 7 django orm with mongodb