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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Data Analytics Roadmap for Non-Tech Backgrounds
A data analytics roadmap for people coming from non-technical fields such as sales, HR, commerce, operations or the arts: what you already have that helps, the maths you really need, a learning order that starts inside your current job, how to handle jargon and doubt, and how to present your background as an advantage.
How to Start an AWS Cloud Career in 2026
Advice on starting an AWS cloud career often points straight at a 'cloud engineer' job. Survey data on the 9,222 professional developers who used AWS tells a different story: most are application developers, and specialist cloud roles are mostly held by experienced people. Here is the data, and a practical 2026 start.
AWS Certified Data Engineer Associate: Exam Guide
A guide to the AWS Certified Data Engineer - Associate exam, DEA-C01, taken from the official exam guide: format, length, cost and passing score, the four content domains and their weightings, what is out of scope, the services to know, and a study plan organised by domain with hands-on practice for each.
Python for Automation: A Real-World Project Guide
Most automation scripts work once at a desk and fail quietly a month later. This guide builds one real project, a weekly Excel report from public bike-sharing data, with the parts that let it run unattended: input checks that stop bad data, an output that is never overwritten, a log, and a way to schedule it.
GCP Certification Path: Which One to Pick First
Google Cloud has foundational, associate and professional certifications, and none requires another. This guide compares the eight exams that data people usually consider, with fees and formats from Google's pages, and suggests a first exam for five different starting points.
Secrets Management for ML Pipelines
ML pipelines handle more credentials than most code, and leak them in places ordinary software does not, such as experiment trackers. This guide plants AWS's published example key in a project and follows it: a scanner flags it, MLflow stores it in plain text, a log filter redacts it and a vault keeps it out.