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Intermediate · module I11

Intermediate Capstone: An End-to-End AI Project

By the end: Deliver a working, evaluated and documented AI project, and present it professionally

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Covers
A full project from problem to working model to presentation
Contents
3 chapters, 10 topics
Time
About 3 hours
Level
Intermediate
Your progress
0 / 10

This module builds on Machine Learning Foundations. We suggest looking at it first, but the choice is yours.

Chapter 1 Planning

  1. 1.1

    Design Thinking and Problem Framing

    Empathy, 5W1H and turning a need into an AI question

    Template: problem framing

    12 minBeing written
  2. 1.2

    Writing a Project Abstract

    Problem, data, method and expected impact

    Template: abstract

    10 minBeing written

Chapter 2 Building

  1. 2.1

    Data Collection and Cleaning

    Gathering and preparing the project dataset

    Project notebook

    30 minBeing written
  2. 2.2

    Building a Baseline Model

    The simplest model worth beating

    Project notebook

    20 minBeing written
  3. 2.3

    Improving and Evaluating the Model

    Better features, better models and honest evaluation

    Project notebook

    30 minBeing written
  4. 2.4

    Ethics and Risk Review

    Applying the responsible AI checklist to the project

    Checklist review

    12 minBeing written

Chapter 3 Presenting

  1. 3.1

    Project Documentation

    README, results and limitations

    Template: project report

    15 minBeing written
  2. 3.2

    Version Control with Git and GitHub

    Saving, sharing and showing your work

    Lab: publish the project

    15 minBeing written
  3. 3.3

    Presentation and Demonstration

    A short video and a live demo

    Record a three-minute video

    20 minBeing written
  4. 3.4

    Careers and Next Steps

    Roles, skills, portfolios and preparing for the Advanced level

    Career map

    10 min Activity