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
Machine Learning Roadmap for Beginners in 2026
A machine learning roadmap for beginners in 2026 focused on the models themselves: which maths to learn and in what order, the supervised and unsupervised methods to master, when to start deep learning, how to choose a specialisation, and a concrete self-test at each stage so you know when to move on.
NumPy Guide: Arrays, Broadcasting and Vectorization
What vectorisation actually means in NumPy, the one broadcasting rule behind every shape error, and the three bugs it causes in real data code — silent wrong-axis maths, exploding intermediate arrays, and edits that leak through views.
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.
Power BI Interview Questions: Top 40 with Answers
Forty Power BI interview questions with concise answers checked against Microsoft's documentation, from fundamentals and Power Query through star schema modelling, DAX and filter context, report features, the Power BI service, security and performance, to scenario questions that test judgement, and how to answer well.
How to Create Effective KPIs for Any Business
How to create effective KPIs: starting from objectives rather than available data, breaking an outcome into a tree of drivers that shows where to act, balancing leading and lagging indicators, adding counter-metrics, and writing definitions precise enough to compute, with a KPI tree on real retail data.
CI/CD for Machine Learning: Pipelines That Work
CI/CD for machine learning has to test three things that change: code, data and models. This guide runs five commits through a staged pipeline on real wine data. It stops a broken delivery, a feature bug and a weaker model at different stages, and shows duplicates had inflated the AUC from 0.822 to 0.896.