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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MLflow Tutorial: Tracking Experiments and Models
MLflow records what produced each model so you never have to remember. This tutorial trains three models on real bike-sharing data, logs every run, compares them by querying the tracking store, registers the best one, points a champion alias at it and loads it back by that alias, all on a laptop.
Power Query Tutorial: Transforming Data Without Code
A working tutorial for Power Query in Power BI Desktop: the applied-steps model, the profiling setting that hides problems, data types, the unpivot option that survives refresh, query folding, and how to structure queries so a report still refreshes next month.
Dataflow Tutorial: Stream and Batch Processing on GCP
Dataflow runs Apache Beam pipelines as a managed service, with one programming model for batch and streaming. This tutorial explains the model, runs a real pipeline locally on 77,033 taxi trips with a batch branch and a windowed branch, and covers windows, watermarks, late data, templates and how to run on Dataflow.
LangChain Tutorial: Build Your First LLM App
This LangChain tutorial builds a small meeting-notes assistant in four steps, using a free local model: a chat model, a prompt chain, structured output validated by Pydantic, and an agent with one tool. Everything ran, and the output also shows the mistakes a small model makes and how to catch them.
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.
AWS Glue Tutorial: Serverless ETL on AWS
A beginner's tutorial on AWS Glue, the serverless ETL service: what each component does, the catalog, crawlers, jobs, triggers and workflows, how they fit into one pipeline, a crawler, job and nightly schedule defined in code with boto3, how billing works, and the settings to get right on day one.