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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. This project teaches how to create microservice architecture using Python Django and FastAPI also we are going to integrate a large language model (LLM model) to create a really cool GitHub PR request checker project.
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first video - • Master Python Microser...
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!
🔗 Helpful Links:
👉 Django Documentation: www.djangoproj...
👉 FastAPI Docs: fastapi.tiango...
👉 Celery Documentation: docs.celerypro...
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If you love learning about Python, backend development, and AI, subscribe for more videos like this! 🚀
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