Local course preview
Python for AI and Data
Learn Python and audit small synthetic tables. Browser practice uses the existing Aabha Code Lab; use Python basics, Data or Charts as directed. Download your work. This course does not teach model training or production deployment.
Preparation: No previous programming. Be comfortable using a browser, saving a file and doing everyday arithmetic.
Read all 11 modules as a guest, in any order. An optional account saves your place and reading marks. Practice rubrics are for self-review; they do not unlock reading or award a certificate.
Planning estimate: 24–32 hours including practice and the capstone. Timing and learner outcomes have not been piloted.
Start course Download original course materials (includes reference answers).
Reading progress
11 lessons remain open to guests. Marking a lesson read records reading only; it does not award assessment credit or a certificate.
Device reading marks require browser storage. Reading is always available.
Your earlier place on this device suggests these lessons. No new lesson is marked read.
Course contents
Practice and references
- Separate bridge and transfer answers · Separate answers
- Teaching and review guide
- Aabha Python for AI and Data · Course package
- Separate exercise solutions · Separate answers
- Sources and version notes
- Python for AI and Data
- Synthetic practice datasets
- Stage Checkpoint
- Study Sessions
- Workshop Orders
- Module 6 diagnostic evidence
- Teaching revision map · 2026-10-14.3
- Integration handoff
- Course Manifest
- Requirements