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On demandRecorded by an instructor, graded by Nova

Python for AI

The Python you need before any of the engineering programmes.

recorded hours
15
modules, in order
7
deployed projects
4
graded checkpoints
7

Who it is for, and what you receive.

Beginners with no programming who want enough Python to start any engineering programme here.

Before you start

None.

Skills

  • Python
  • testing
  • APIs
  • pandas
  1. 1

    The recorded sessions

    Taught by an instructor who does the work, taken in order at your own pace, yours for twelve months.

  2. 2

    Graded work after every module

    Exercises and projects marked by Nova against a rubric you can read, with what you did well and what to fix.

  3. 3

    The projects

    Deployed and graded, each one on your record with its repository.

  4. 4

    Your hiring plan

    The same six-part plan the bootcamps use, run with the career agent.

  5. 5

    The record and the certificate

    Every grade at square1ai.com/u/{handle}; a credential ID that resolves at square1ai.com/verify.

  6. 6

    Nova as your tutor

    Help that is about your actual work, because it has read all of it.

The content plan, module by module.

15 recorded hours from an instructor, taken in order at your own pace. Nova grades the work at the end of each module.

  1. 1

    Setup and the basics

    • Installing
    • Variables, types, control flow
    • Exercises graded line by line

    Graded

    Exercises graded line by line

    120 min

  2. 2

    Functions, data structures, files

    • Functions
    • Lists, dicts, sets
    • Reading and writing files

    Graded

    A data-cleaning script

    120 min

  3. 3

    Packages, environments, testing

    • pip and venv
    • Writing a package
    • pytest

    Graded

    A tested package

    120 min

  4. 4

    APIs and JSON

    • HTTP
    • JSON
    • Calling an LLM API

    Graded

    A script that calls an LLM API

    120 min

  5. 5

    Pandas and notebooks

    • DataFrames
    • Cleaning
    • A notebook analysis

    Graded

    An analysis notebook

    120 min

  6. 6

    Async and the web

    • async and await
    • A small web service
    • Deploying it

    Graded

    A small web service

    120 min

  7. 7

    Project: a working tool

    • Design
    • Build
    • Deploy

    Graded

    The tool, deployed

    180 min

The projects.

Each is deployed and graded by Nova against a rubric you can read before you start.

  1. 1

    A data-cleaning script

    Clean a messy CSV.

    You hand in

    • Script
    • Tests

    The rubric requires

    Handles the messy cases in the test set.

  2. 2

    A tested package

    A package with tests.

    You hand in

    • Package
    • Tests

    The rubric requires

    Tests pass.

  3. 3

    An API-calling tool

    A tool that calls an LLM API.

    You hand in

    • Tool
    • Error handling

    The rubric requires

    Handles failures gracefully.

  4. 4

    A deployed web service

    A small service, deployed.

    You hand in

    • Service
    • Deployment

    The rubric requires

    Responds in production.

What you can do at the end.

Enough Python to start any engineering programme here, and four graded projects on your record.

  1. 1

    Write Python with functions, data structures and files.

  2. 2

    Use packages, environments and tests.

  3. 3

    Call APIs and handle JSON, including an LLM API.

  4. 4

    Analyse data in pandas and notebooks.

  5. 5

    Build a small web service with async.

Roles this prepares you for

  • Junior developer (entry)
  • Analyst who codes

No placement rate is shown, because there are no graduates to count yet. The roles above are what the projects are built for.

Your record at the end.

Every exercise and project is graded by Nova against a rubric you can read, and every grade is kept on one page an employer can open and run. This is what the programme writes to it.

Graded, line by line
Nova reads every submission against the brief and the rubric and returns a score, what you did well and what to fix.
Module by module
Each module ends in graded work; the next opens when you are ready, on your own schedule.
Nova remembers
Help is about your actual work, because the tutor has every submission and every failed exercise of yours.
One page an employer can run
Every grade and project at /verify. An employer opens it and runs the code.

Record, Python for AI

Example

  1. Project

    A data-cleaning script

    Handles the messy cases in the test set.

    Graded
  2. Project

    A tested package

    Tests pass.

    Graded
  3. Project

    An API-calling tool

    Handles failures gracefully.

    Graded
  4. Project

    A deployed web service

    Responds in production.

    Graded
  5. Every module

    7 graded checkpoints

    Each module ends in work Nova grades line by line against a rubric you can read.

    Graded
  6. After

    Your hiring plan

    Target roles, the gap map, the proof to send, weekly actions and an interview log.

    Kept

The entries, not the grades: those are yours to earn. The page lives at /verify and an employer needs no account to open it.

6 entries, at your own pace. One email when this course opens.

No account, no card. One email when it opens; we never sell before it exists.

How we help you find a job.

Proof, not a certificate: the projects you deployed are the thing you show, and the tools below are yours to use.

  1. 1

    Your hiring plan

    The same six-part plan the bootcamps use: target roles, the gap map, the proof to send, weekly actions, an interview log, the outcome. You run it with the career agent.

  2. 2

    A record an employer can run

    Your graded projects on /verify. An employer opens it and runs the code.

  3. 3

    The career agent

    Paste a real job posting at /career and it maps the role to your graded work and what to do next.

  4. 4

    The roles directory

    Every role we prepare people for, what it pays and what it asks, at /roles.

  5. 5

    A path to the live cohort

    If you want the instructor, the gates and the hiring sprint, the bootcamp on the same subject is one waitlist away.

One email when this course opens.

Recorded by an instructor who does this work, graded by Nova. The waitlist hears the date and the price first, and nothing is charged before it exists.

No account, no card. One email when it opens; we never sell before it exists.