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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.
Engineering setup for AI & Data Products
Build the foundational skills required to set up AI and data products properly, including terminal usage, Python project anatomy, Python package boundaries, virtual environments, dependency management with uv, configuration hygiene, Git and GitHub workflows, secrets management, repository visibility, licensing, testing, a minimal FastAPI starter app, Docker-based local services, and a guided starter-repo project.
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.