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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GCP Roadmap 2026 for Data Engineers
On Google Cloud the warehouse is the centre of the data stack, so this roadmap starts inside BigQuery, in the free sandbox, and moves outward in seven rings: storage and access, loading, table design, transformation, streaming and operations. Each ring has a build, and the renamed services are listed.
Azure Data Factory Roadmap 2026: A Complete Guide
A staged roadmap for learning Azure Data Factory in 2026: the six building blocks and how they relate, five stages from a first copy pipeline to deployed and monitored pipelines, a checkpoint for each stage, how Microsoft Fabric changes the picture, the state of the certifications, and the skills ADF does not replace.
AWS Roadmap 2026 for Data Engineers
What to learn on AWS as a data engineer, in the order data moves through a pipeline: S3 and IAM, Glue and Athena, Glue jobs, Redshift, Step Functions, streaming and governance, with something to build at every stage and a clear test for when you are done.
Machine Learning Roadmap for Beginners in 2026
A machine learning roadmap for beginners in 2026 focused on the models themselves: which maths to learn and in what order, the supervised and unsupervised methods to master, when to start deep learning, how to choose a specialisation, and a concrete self-test at each stage so you know when to move on.
Agentic AI Roadmap 2026: From Prompts to Autonomous Systems
Agentic AI is the most hyped corner of generative AI and the easiest to learn in the wrong order. This roadmap builds it in seven stages, from reliable prompts and structured output through retrieval and tools to workflows, agents and production safeguards, with something to build at each stage.
Career Roadmap: Analyst to Scientist to Lead
The usual picture of a data career ends in management, but even after ten years most data professionals are individual contributors. Survey data and a public job ladder show how analyst experience counts towards data science, how leads differ from managers, and how to choose the track that suits you.