AINS graduate course

AINS6007 · Applied AI Programming with Python

Core sequence · catalog 2026–27

Description

Hands-on Python for data wrangling, modeling, and packaging AI components suitable for team engineering standards.

Course shells on the Castalia LMS are provisioned per license; this link opens the LMS to explore the guest demo or landing experience.

Open Castalia LMS Back to catalog

Buy license Continue on the purchase hub to request a license or institutional quote.

Syllabus outline

  1. Modules 1–2 · Stack

    • Environment and dependency hygiene
    • Vectorized numerics and profiling
    • Testing ML-adjacent code

  2. Modules 3–4 · Modeling in code

    • Frameworks for training loops
    • Experiment configs and seeds
    • Serialization and model artifacts

  3. Modules 5–6 · Integration

    • APIs and batch jobs
    • Containers (intro)
    • Peer review capstone