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.
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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.
Prompt Engineering: Techniques That Actually Improve Output
Most prompt advice is a list of tips. This guide takes one job, pulling three fields out of customer emails, and rewrites the prompt seven times, scoring each version on the same twelve emails. An example and a schema fixed the format; definitions and asking for evidence before the verdict fixed the meaning.
Statistics for Data Science: The 20% You Actually Need
The statistics data scientists use constantly, each idea shown on real data in Python: when the median beats the mean, confidence intervals by bootstrapping, what a p-value does and does not say, why effect sizes matter, how testing many things manufactures findings, and how Simpson's paradox reverses a conclusion.
GPU vs CPU for ML: When You Actually Need a GPU
GPUs win on large, parallel maths and lose on small, scattered work. Measured on a laptop's integrated GPU and its CPU, the GPU ran at half the CPU's speed on tiny matrices, up to nine times faster on large ones, and nearly four times faster embedding sentences in batches, but slower one sentence at a time.