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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How to Write a Data Analysis Report That Gets Read
How to write a data analysis report that busy people read and act on: putting the answer and recommendation first, a summary that works on its own, findings written as evidence for that answer, method and limitations in their proper place, clear numbers and charts, a reusable template, and a checklist before sending.
Cost Controls and Budgets on Google Cloud
A budget on Google Cloud sends alerts; it does not stop spending. This guide sorts the cost tools into three jobs, seeing where money goes, being told when it changes and being stopped at a limit, and models a runaway query to show what each layer does to the month's bill.
Model Drift and Data Drift: Detection and Response
Most drift tooling watches a model's inputs. This guide shows, on three Januaries of real New York taxi trips, a change that left every input statistic flat while the model's error grew fivefold, why significance tests mislead at scale, and how to respond to drift you detect and to change you know is coming.
Edge ML Deployment: Running Models on Devices
Edge deployment runs models on phones and devices instead of servers. With real smartphone sensor data, this guide exports an activity model to ONNX, quantizes it to a 39 KB file at almost no accuracy cost, and shows the bigger risk on devices is new people: accuracy ranged from 81% to 99.5% across volunteers.
Building a Serverless Analytics Stack on AWS
A serverless analytics stack on AWS has no cluster to run: S3 for storage, Glue for the catalog and transformation, Athena for SQL, Lambda and Step Functions for triggers and orchestration, and a BI tool on top. This guide builds it layer by layer, lists what each service bills for, and says where it stops fitting.
Crafting an Elevator Pitch for Tech Roles
An elevator pitch for a tech or data role is a 15 to 90 second answer to 'tell me about yourself' that makes the listener want to ask a follow-up. Using structure from MIT and Harvard career services, this guide builds three lengths of pitch, with examples for a fresher, a switcher and an engineer.