Everyday & curiosity
AI Study Plan Generator
A realistic week-by-week schedule built around retrieval practice and small shipped projects, sized to the hours you actually have.
Your schedule
48 h
4 sessions a week, about 90 minutes each
- Study Python for data analysis in 4 sessions of about 90 minutes rather than one long block — spacing beats duration.
- Start every session by recalling last session's material before opening any notes.
- Keep at least a third of your time on doing rather than consuming.
- Use AI as a tutor that asks you questions, not as a source of finished answers — being able to reproduce it unaided is the only test that counts.
Week 1 — Core mechanics
6 hours- Work the fundamental rules by hand
- Do 20 small exercises, not 2 big ones
- Log every mistake in an error notebook
Deliverable: Complete a small guided exercise set end to end.
Week 2 — Core mechanics
6 hours- Work the fundamental rules by hand
- Do 20 small exercises, not 2 big ones
- Log every mistake in an error notebook
Deliverable: Complete a small guided exercise set end to end.
Week 3 — First real application
6 hours- Build the smallest possible working thing
- Copy a worked example, then change one variable
- Time yourself to find the slow steps
Deliverable: Ship a tiny end-to-end artefact you could show someone.
Week 4 — Depth on the hard part
6 hours- Attack the topic you have been avoiding
- Re-derive it instead of re-reading it
- Teach it aloud in five minutes
Deliverable: Record a five-minute explanation of the hardest concept.
Week 5 — Retrieval and spacing
6 hours- Test yourself before opening notes
- Re-do week 1 and 2 exercises cold
- Fix everything in the error notebook
Deliverable: Sit a closed-book self-test on weeks 1-4.
Week 6 — Applied practice
6 hours- Work on a messy, unstructured problem
- Use only documentation, no tutorials
- Get one piece of outside feedback
Deliverable: Complete a realistic problem with no guardrails.
Week 7 — Speed and fluency
6 hours- Repeat core tasks until they are automatic
- Cut reference lookups in half
- Practise under time pressure
Deliverable: Redo an earlier project in half the time.
Week 8 — Consolidation and proof
6 hours- Build the portfolio piece
- Write up what you learned publicly
- Plan the next subject deliberately
Deliverable: Publish a finished project plus a short write-up.
Why this plan is built around output
Most self-study fails because it is consumption disguised as progress — more videos, more notes, no proof. Every week here ends in something you produced from memory, which is the only reliable signal that the material transferred.
Use AI to generate practice questions and to mark your answers harshly, not to write your deliverable. If a model produced it, you cannot claim you learned it.