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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Embeddings Explained: The Foundation of Modern AI
An embedding turns a piece of text into a list of numbers placed so that similar meanings land close together. Search, recommendations, clustering and RAG all rest on that. This guide shows real vectors from an open model, measures similarity between sentences and explains what to check before choosing a model.
dbt Tutorial: Transformations in the Modern Data Stack
A practical introduction to dbt: where it fits as the T in ELT, a complete working project, two models, a seed and seven tests, built on three million real taxi trips with DuckDB, how ref orders the build, what a warning-level test looks like, materializations, and the habits that keep dbt projects maintainable.
Speech-to-Text and Text-to-Speech with Modern AI
Speech recognition and synthesis have become ordinary building blocks. This guide explains how models such as Whisper turn audio into text, measures two sizes on 30 LibriSpeech clips with word error rate, shows why normalising spellings changes the score, and covers voices, licences and API changes.
The Modern Data Analytics Stack Explained
The modern data analytics stack explained one layer at a time: sources, ingestion and ELT, cloud warehouses and lakehouses, transformation with dbt and its data tests, the semantic layer, BI, orchestration and governance, then one revenue number followed through every layer, and what a small team actually needs.