IT Career Guides & Free Resources
Expert roadmaps, tutorials, salary guides and interview prep across Data Science, Generative AI, Python, Cloud & Analytics — written by GloryTecks trainers in Hyderabad.
All articles
What Is Generative AI? A Complete Beginner's Guide
What generative AI is, in plain language: how language models produce text one token at a time (shown with a tiny runnable model), how chat models are trained, how image models differ, what the technology is reliable for, and why it confabulates.
ChatGPT Complete Guide: Features, Prompts and Use Cases
ChatGPT went from a research preview to one of the most used software products in the world in under four years. This guide maps its main features and when they arrived, shows how to write prompts that work, sorts good uses from risky ones, and explains the limits every user should check for.
RAG Architecture Explained: Retrieval-Augmented Generation
RAG gives a language model the right pages to read before it answers. This guide walks through the four stages with a pipeline that runs on a laptop, using open models and public documents, and shows three outcomes: a correct cited answer, a retrieval miss the model admits to, and a question outside the documents.
LangChain Tutorial: Build Your First LLM App
This LangChain tutorial builds a small meeting-notes assistant in four steps, using a free local model: a chat model, a prompt chain, structured output validated by Pydantic, and an agent with one tool. Everything ran, and the output also shows the mistakes a small model makes and how to catch them.
LangGraph Tutorial: Building Stateful AI Agents
Build a small support-ticket agent with LangGraph, using only plain Python and no API key: typed state and reducers, conditional edges, a retry loop, checkpoints with thread IDs, and a human approval step with interrupt. Every output shown was produced by running the code.
AI Agents Guide: How Autonomous Agents Actually Work
An AI agent is a language model that chooses actions in a loop until a task is done. This guide explains the loop, the tools and the stopping rules, then runs a small agent against a sales database: it explores, recovers from its own SQL errors, and still gets three of four answers wrong in instructive ways.