Capstones, Portfolio & Interview

Mission. Prove the transformation with end-to-end work, and support the career move.

Scope

Capstone projects that combine tracks
Portfolio presentation
ML system design
Algorithm and DS interview prep

Learning objectives

Ship a capstone that touches at least three tracks and one production concern
Present a project so a hiring manager understands it in five minutes
Design an ML system on a whiteboard under time pressure

Lessons

This track is scaffolded and waiting for content. See the curriculum dashboard for the roadmap and progress across all tracks.

Planned lessons (9)

Wave 1 — first vertical slice (production-ready) — 3 lessons

capstones

Capstone 1: End to End project · intermediate · L The vertical-slice capstone: raw data to served model, documented.
Capstone 1 Rubric reference · intermediate · S The self-review standard: what makes this capstone pass.

career

Presenting a Project concept · intermediate · M A hiring manager understands it in five minutes or it didn't happen.

Wave 3 — depth (provisional roadmap) — 6 lessons

capstones

Capstone 2: The Experiment project · advanced · L An experiment-driven product decision: design, run, analyze, recommend.
Capstone 3: An LLM Application project · intermediate · L A working LLM-backed tool with retrieval and honest evaluation.
Capstone 4: The Pipeline project · advanced · L A scheduled, monitored pipeline feeding a live dashboard.

career

ML System Design Interviews concept · advanced · L Designing ML systems on a whiteboard under time pressure.
Data Science Case Interviews concept · intermediate · M Structure, estimation, and tradeoffs in the case interview.
The Portfolio and the Story concept · intermediate · M Assembling the work into a portfolio with a narrative.