Course
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.
A practical Python-only DSA course for AI engineers, data engineers, and product-company interviews. The course focuses on the patterns that show up in real AI and data product work: arrays, hash maps, sets, strings, sliding windows, intervals, heaps, trees, graphs, dynamic programming, tries, and backtracking.
Every problem is built as a complete practice loop: read the problem statement, understand the use case and edge cases, write Python in the browser, run public tests, submit against the same visible validation suite, then compare with the model solution and explanation.
The runtime target is CPython-compatible Python with standard-library support only. There are no paid judge services, no private tests, no third-party packages, and no infrastructure dependency beyond the browser Python runner.