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.
Featured Guides
Data Science Roadmap 2026: A Complete Step-by-Step Guide
A data science roadmap in dependency order, from Python and SQL through cleaning, statistics and honest model evaluation to communicating results, with an exit test at every stage and one dataset that carries through the whole path.
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.
Learn Python from Scratch: A Complete 2026 Roadmap
How to learn Python from zero: install a current version (including the new Windows install manager), then work through seven stages, from values and loops to files, virtual environments, classes and tests, each ending with a small program you should be able to write on your own.
Trending This Week
Data Scientist Salary in Hyderabad 2026: How Pay Grows From Fresher to Senior
Data Science · 7 min
ChatGPT Complete Guide: Features, Prompts and Use Cases
Generative AI · 5 min
Python Interview Questions: Top 50 with Answers
Python · 10 min
DAX Guide: Measures, Calculated Columns and Context
Power BI · 6 min
All articles
What Is MLOps? DevOps for Machine Learning Explained
MLOps is the practice of building machine learning systems that keep working after launch. This guide defines it, explains why ML needs more than DevOps, and shows the problem it solves on real data: a model built in 2011 that was 38% wrong through 2012, and how much the way you retrain it matters.
How Transformers Changed AI: Attention Explained
Attention lets every word in a sentence draw information from every other word in one step. That idea, from a 2017 paper, replaced the older sequence models and underlies current language models. This guide works the arithmetic by hand, then shows a real attention head in GPT-2 linking a pronoun to its noun.
SQL Joins Interview Questions Explained
Join questions in interviews are rarely about syntax. They test whether you can predict how many rows come back. These nine questions, each answered with a query on three million real New York taxi trips, cover anti-joins, ON versus WHERE, NOT IN with NULLs, fan-out, self-joins, calendars and full outer joins.
Spreadsheet to Insight: A Repeatable Analysis Workflow
A repeatable workflow for turning a raw spreadsheet into an insight, followed end to end on a real 541,909-row sales workbook: writing the question down, fingerprinting the raw file, logging what every cleaning rule removes, answering the question, reconciling before sharing, and making the whole analysis rerunnable.
Building AI Agents with LangGraph: A Hands-On Tutorial
Agent tutorials stop when the demo works. Production agents fail in other ways: tools time out, loops never end, and behaviour changes silently. This hands-on guide builds a small LangGraph agent and makes it reliable, with a retry policy on its tool node, a recursion limit and deterministic tests.
AI Coding Assistants: How to Use Them Effectively
AI coding assistants write plausible code quickly, and plausible is not the same as correct. This guide summarises what research says about their speed and security, then has a small local model write six functions, scores them with hidden tests, and shows what examples and test feedback fix.