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Welcome :)

📚 Remoder Library – Learn. Build. Evolve.

Welcome to the Remoder Library — your go-to hub for AI, DevOps, and Systems Engineering knowledge.


🎥 Dive into hands-on video lessons, explore project PDFs, and follow real-world builds that bridge AI + Infrastructure — from lightweight LLM apps to full-scale RAG architectures.


Every resource here is designed to help you:


  • 🧠 Understand complex systems with clarity
     
  • ⚙️ Build real projects step by step
     
  • 🚀 Evolve into the next generation of AI Engineers & Builders
     

This isn’t just a library — it’s your AI engineering playbook, where every video and document brings you closer to mastering intelligent systems.

Video lessons

 

Everyone talks about AI models — but few can actually deploy & build an intelligent system that runs locally OR in Cloud, monitors itself, and scales like production.
Today, we’re not just talking AI — we’re engineering it. 💥

AI Agent - Financial Advisor Old Video Part 1

This is older version of the video. Some of the code has been updated but still the core is the same. 

AI Agent - Financial Advisor Part2

We continue to explore our Financial Advisor AI Agent in detail. 

Simple Python LLM API: FastAPI + DistilGPT2 Model

This is a great way to start your journey to LLM World.

Dockerized AI Inference API: Nginx + Ollama + SSL

Simple way to understand how Ollama works with Nginx as a reverse proxy.

Simple Python LLM Secured

In this lesson, we are improving the Security of our Simple Python app.

Production Ready AI API - Docker + Nginx + Ollama

description coming soon!

Docker Essential for AI: Part 1

description coming soon!

Docker Essentials for AI: Part 2

description coming soon!

Docker Compose + AI: Part 1

description coming soon!

Docker Compose + AI: Part 2

description coming soon!

🧠 Project 3: AI Power Stack — From Models to Monitoring

⚙️ AI Agent = Ollama + FastAPI + Chroma DB + Grafana + Prometheus + Docker Compose 


Welcome to Project 3: The AI Power Stack, where AI meets real-world systems engineering.

This project demonstrates how modern AI agents can be deployed, managed, and monitored using a fully containerized setup built for reliability and scalability. 


What We Built


A complete AI system using:


  • 🧠 Ollama — Runs local LLMs like Mistral, Gemma, and DeepSeek
     
  • 🔍 ChromaDB — Stores and retrieves vector embeddings for contextual memory
     
  • ⚡ FastAPI — The communication layer connecting models and logic
     
  • 📊 Grafana + Prometheus — Powering observability, metrics, and insights
     
  • 🐳 Docker Compose — Seamlessly orchestrating everything together
     

What Makes It Powerful


  • Local, secure AI environment — no cloud dependency 🔒
     
  • Real-time performance monitoring and metrics tracking 📈
     
  • Modular architecture for agentic AI systems 🤖
     
  • Perfect balance between AI innovation and DevOps discipline
     

The Goal


To teach engineers how to bridge AI and infrastructure — building intelligent, observable, and production-ready systems that go beyond prototypes.

Part 1

description coming soon!

Part 2

description coming soon!

Part 3

description coming soon!

Part 4

description coming soon!

Part 5

description coming soon!

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