AI Engineering
Practical AI projects, experiments, tutorials, and applied research notes
Agentic AI – LLM with RAG – Beginner Bootcamp
In this post, you’ll learn how to build your own document-reading AI assistant — an intelligent tool that can read and understand documents like PDFs, Word files, Excel sheets, HTML pages, JSON files, and more using…
Agentic AI – LLM with Web Scraping – Beginner Bootcamp
In this beginner-friendly bootcamp, learn how to create a smart web agent that scrapes websites, processes content with GPT-4, and answers user questions intelligently. You’ll start with basic LLM-based querying and then upgrade to a scalable…
Agentic AI – LLM with API Calls – Beginner Bootcamp
🧠 Build Your First Agentic AI!
Curious how ChatGPT can actually call functions and fetch live data?
In our latest Beginner Bootcamp, learn how to create a smart Weather Agent using OpenAI’s GPT-4 and WeatherAPI — no advanced…
Agentic AI for Beginners – Learn by Building Your First App
🚀 Build Your First Agentic AI App (With Code Example!)
In this beginner-friendly bootcamp, you’ll learn how to build a multi-agent AI application from scratch. We’ll walk you through the core architecture of agentic systems and show…
How to Install and Run Your First Local LLM on Your Laptop
Have you ever used ChatGPT or other GenAI tools online? Imagine running one of these smart language models directly on your laptop—no coding experience required. In this guide, I’ll show you how to install a local…
AI Engineering brings together practical AI projects, experiments, tutorials, and applied research notes on building real-world AI systems.The goal is to make AI engineering easier to understand through concrete examples, beginner-friendly explanations, and practical implementation notes.
