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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MLflow Tutorial: Tracking Experiments and Models
MLflow records what produced each model so you never have to remember. This tutorial trains three models on real bike-sharing data, logs every run, compares them by querying the tracking store, registers the best one, points a champion alias at it and loads it back by that alias, all on a laptop.
ADF Pipelines Explained: Building Your First Pipeline
A beginner's guide to pipelines in Azure Data Factory: what a pipeline and an activity are, the three kinds of activity, the objects you create for a first copy from blob storage to a SQL table, the JSON behind the canvas, why Debug moves real data, what Publish does, and how to read a run's output.
BigQuery Explained: Google's Serverless Data Warehouse
What “serverless” means in BigQuery, why its bill depends on the bytes a query reads, and the three habits that keep that number small: select only needed columns, partition and cluster tables, and check a query’s cost before running it.
LinkedIn Optimization for Tech Job Seekers in 2026
LinkedIn advice usually stops at keywords and a good photo, but the best evidence points at your network. A randomised experiment with over 20 million members showed which connections lead to new jobs. This guide covers that evidence, Open to Work settings including India's, and a profile checklist.
Amazon S3 Explained: Storage, Classes and Best Practices
How Amazon S3 storage classes differ — minimum storage duration, minimum billable size, retrieval time — and a four-question method for putting each dataset in the right class, with lifecycle and security defaults for a data-engineering bucket.
Data Science vs Data Analytics: Which Career Is Right for You?
A career-choice guide rather than a feature table: what a working week looks like for a data analyst and a data scientist, a self-check to see which kind of work suits you, the skills to build first for each, how people move between the two, and why the choice is less permanent than it feels.