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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AWS IAM Explained: Users, Roles and Policies
AWS IAM decides who can do what in an AWS account. This guide explains users, groups, roles and policies, reads a JSON policy line by line, shows a least-privilege policy allowing one read and refusing other requests, explains why roles and temporary credentials are preferred, and lists the practices AWS recommends.
Deploying ML Models on AWS, Azure and GCP
AWS, Azure and Google Cloud all host models behind managed endpoints, but each expects a different serving contract. This guide runs one real model behind all three contracts locally, including Microsoft's own inference server, and shows what changes between clouds and what should stay exactly the same.
AWS Data Engineer Guide: Skills and Services
Lists of AWS data engineer skills are usually lists of AWS services. Survey data on data engineers who work on AWS tells a different story: infrastructure as code, containers and non-AWS databases are as much a part of the job as Glue or Redshift. Here is that evidence, and a map of services by task.
AWS Data Engineer Salary in India 2026: Does AWS Experience Pay?
Does AWS experience actually raise pay in India, or is it just a line on a CV? Real 2025 survey data for India gives a clear answer when people are compared with others of the same experience: AWS users earn more, and AWS combined with infrastructure skills earns more still. Here is the data and what to do with it.
AWS Certification Path for Data Roles
A guide to AWS certifications for people in data roles, based on AWS's current exam-guide catalogue: the levels and what each certification validates, paths for data engineers, analysts and machine learning engineers, what the exams cost and how long they last, and what a certificate does and does not prove.
Amazon EMR Explained: Big Data on AWS
Amazon EMR runs Spark, Hadoop, Hive and other big data frameworks on AWS. This guide explains primary, core and task nodes, why data belongs in S3 and not in the cluster's HDFS, how work is submitted as steps, transient versus long-running clusters, the Serverless and EKS options, and what decides the bill.