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.
All articles
Resume Building for Data Roles: A Complete Guide
A data resume has to pass software filters and a hurried human reader. US Department of Labor data shows which tools are classed as in demand for analyst, scientist and data warehousing roles, and which verbs describe the work. This guide turns that into a structure, bullet formula and checklist.
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.
LangGraph Tutorial: Building Stateful AI Agents
Build a small support-ticket agent with LangGraph, using only plain Python and no API key: typed state and reducers, conditional edges, a retry loop, checkpoints with thread IDs, and a human approval step with interrupt. Every output shown was produced by running the code.
Portfolio Building: Projects That Impress Recruiters
Recruiters and hiring managers spend minutes, not hours, on a portfolio, so a project has to show its value fast. This guide gives the rubric a reviewer applies to any tech or data project, a README structure based on GitHub's guidance, the licence checks most portfolios skip, and how to reuse each project.
Building a Multi-Agent System: Patterns and Pitfalls
Splitting work across several cooperating AI agents is appealing and often disappointing. This guide sets out the main multi-agent patterns, what published experience says about when they beat a single agent, a small model of how errors compound across hand-offs, and design rules that follow from it.
Building a Real-Time Dashboard with GCP
A real-time dashboard is a chain, and it is as fresh as its slowest link. This guide builds one on Google Cloud, from events in Pub/Sub to a per-minute table in BigQuery and a report in Data Studio, and replays an hour of real events to show why recent numbers change after they first appear.