Week 10 — Final presentations + portfolio launch

Capstone presentations day, portfolio launch, peer review.

Module M9 + M10  |  ← schedule |  ← week 09

Show what you built, publish what you built, and walk out with a portfolio that says *I can actually do this*.

What you ship this week

Final capstone presentation (10 min talk + 5 min Q&A), public repository at v1.0 tag, technical writeup published as a blog post or repo doc, portfolio site live with capstone listed prominently.

Due Friday 18:00 (Africa/Lagos (UTC+1))
Submission Drop the repo URL into the week's cohort channel. Peer-review pairing announced Monday of next week.
Rubric Pass / revise. Pass requires green CI, tests covering the public API, and a README a stranger can follow to install and run the code.

Live sessions and labs

Default weekly cadence below. Cohort-specific dates and Zoom links fill in at intake.

Day Time Block Recording
Mon 09:00-12:00 Live instruction + code-along (post-session)
Mon 14:00-16:00 Independent lab work + TA office hours (post-session)
Tue 09:00-12:00 Live instruction + code-along (post-session)
Tue 14:00-16:00 Independent lab work + TA office hours (post-session)
Wed 09:00-12:00 Live instruction + code-along (post-session)
Wed 14:00-16:00 Independent lab work + TA office hours (post-session)
Thu 09:00-12:00 Live instruction + code-along (post-session)
Thu 14:00-16:00 Independent lab work + TA office hours (post-session)
Fri 10:00-11:00 Industry speaker (post-session)
Fri 11:30-12:30 Lab review (post-session)
Fri 14:00-15:00 Cohort retrospective (post-session)

Learning outcomes

By the end of the week, every participant will:

  1. Present a technical ML project to a mixed (technical + non-technical) audience.
  2. Publish a technical writeup of the capstone.
  3. Ship a portfolio that a hiring manager or collaborator can navigate in five minutes.
  4. Conduct a constructive peer review of two other capstones.

Topics covered

Technical presentation craft · what a hiring manager scans for · live demo discipline (and what to do when it breaks) · peer-review etiquette · what to do after the bootcamp (job search, open-source contribution, advanced study).

Labs

Lab 1 — Final presentations day

Each participant or team delivers a 10-minute talk + 5-minute Q&A. Industry-speaker panel reviews. Public recording (with consent).

Dataset: Per capstone.

Lab 2 — Portfolio launch

Portfolio site published on GitHub Pages (or equivalent), submitted to the cohort showcase. Internal cross-promotion via mutual social-media tags is optional but encouraged.

Dataset:

Lab 3 — Peer review of two capstones

Read two other capstones end-to-end. Write a 300-word written review for each. Reviews are exchanged in a structured peer-review session on Friday.

Dataset: Other cohort members' capstones.

Readings

Mandatory

  • Before Tuesday. Sample capstones from prior cohorts (linked in cohort channel)

Optional deepening