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.
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All articles
Building a Multi-Agent System: Patterns and Pitfalls
Splitting work across several cooperating AI agents is appealing and often disappointing. This guide sets out the main multi-agent patterns, what published experience says about when they beat a single agent, a small model of how errors compound across hand-offs, and design rules that follow from it.
AWS Glue Data Catalog and Crawlers Explained
The Glue Data Catalog is the index of an AWS data lake, and crawlers are the usual way to fill it. This guide explains what the catalog stores, how a crawler classifies files and decides between tables and partitions, what three real files with drifting schemas show, and the settings that keep crawlers predictable.
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.
Athena Federated Queries Explained
Athena Federated Query lets one SQL statement read from sources outside S3, such as DynamoDB, MySQL or Redshift, and join them with data lake tables. This guide explains connectors, predicate pushdown, passthrough queries, the documented limits, how billing works, and when copying the data is the better design.
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.
How to Read a Machine Learning Research Paper
How to read a machine learning research paper without drowning in it: the three-pass method applied to the Transformer paper, the questions to ask of every results table, the difference between what a paper shows and what it suspects, and a small NumPy re-implementation that checks one of its claims.