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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AWS Interview Questions for Data Engineers
AWS interview questions for data engineers on S3, Glue, Athena, Redshift, Kinesis, Step Functions and security, each with the points a strong answer includes, the follow-up to expect, and three end-to-end scenario questions.
AI Agents Guide: How Autonomous Agents Actually Work
An AI agent is a language model that chooses actions in a loop until a task is done. This guide explains the loop, the tools and the stopping rules, then runs a small agent against a sales database: it explores, recovers from its own SQL errors, and still gets three of four answers wrong in instructive ways.
Pandas Guide: DataFrames, Cleaning and Aggregation
One messy sales export, cleaned and summarised step by step with pandas: reading it with the right types, the values pandas silently turns into missing data, fixing text and number columns, removing duplicates, named aggregations with groupby, pivot tables that can hide gaps, and merges that check themselves.
Business Analytics Explained: A Beginner's Guide
Business analytics explained for beginners: what it is for, the four types of analytics and the business question each answers, the process that turns a question into a decision, the roles and tools involved, and a worked example on a real online shop's sales that goes from what happened to why it happened.
Power BI Dashboard Design: A Practical Guide
Designing Power BI reports and dashboards: the difference between the two in the Power BI service, planning for the audience, laying out a page, choosing visuals and formatting numbers the way Microsoft recommends, interactions and navigation, accessibility, performance, and a checklist to review any page.
Monitoring ML Models in Production: A Complete Guide
A model that passed validation can fail quietly in production. This guide sets out what to monitor at each layer, how to cope with labels that arrive late and how to design alerts people act on, using a year of real sensor data in which the loudest alert was the least useful one.