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SQL Basics
Zero to genuinely solid SQL: every query pattern you must own before any data interview, drilled with runnable, interview-style questions.
Python Foundations
From zero to confident everyday Python, taught through real situations and the bugs they cause: values, collections, functions, the mutation model, errors, and files, all practiced by writing and running code in the browser.
Idiomatic Python and OOP
Go from working Python to fluent, well-structured Python: the idioms professionals reach for, the standard-library toolkit, iterators and generators, decorators, and object-oriented design built on Python's data model.
Machine Learning Foundations
An intuition-first foundation in classical machine learning for anyone moving into LLM and agent work: enough real understanding to discuss the concepts with confidence and to frame working ML projects from a domain you already know.
DSA for Agentic AI Engineers
Python-only data structures and algorithms practice for AI and data product engineers: problem statement, runnable solution, explanation, and visible public tests for every problem.