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.
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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.
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.
Power BI vs Excel: When to Use Each Tool
A task-by-task guide to choosing between Power BI and Excel at work: the signs a workbook has outgrown Excel, what Excel still does better, the worksheet row limit tested on a real two-sheet retail dataset, and the ways the two tools work together, from Power Query to Analyze in Excel and connected tables.
Function Calling and Tool Use in LLMs Explained
Function calling lets a language model ask your code to look something up or take an action. This guide explains the round trip and how to define tools, then puts ten customer requests to a small local model with three tools, and shows the four ways it went wrong and the safeguards that caught them.
Athena vs Redshift: When to Use Each
Athena and Redshift both run SQL on AWS, but one is a query service over files in S3 and the other is a data warehouse. This comparison covers where the data lives, how each is billed, behaviour under many users, updates and modelling, AWS's own guidance, and the common design that uses both.
How to Use Kaggle to Boost Your Job Profile
Kaggle can strengthen a data job profile, but not the way many people use it. Grandmaster rank is reached by a tiny fraction of accounts, while well-written notebooks are open to anyone. A 2026 case of untraceable Kaggle health datasets shows why checking data provenance matters.