IARL Interactive Learning

The BWXT Accelerated AI Training Program: a 12-week, project-based path that builds practical data science skills for image analysis. Browse by capability (the 9 modules) or by track — Python fundamentals, ML core topics, and hands-on labs.

Start here: 12-Week Roadmap →

See how the 9 modules sequence across the program, week by week.

Capstone Project →

The course-long weld-defect image-analysis project, sprint by sprint.

Browse by track

Python Fundamentals

ATBS-based Python fundamentals (Automate the Boring Stuff, 3rd Edition).

22 chapters

ML Core

Data science and machine learning chapters with manufacturing and welding context.

11 chapters

Hands-on Labs

Practical notebooks with real datasets.

8 labs

Engineering Toolkit

Version control and SQL — the everyday tools the maturity model expects of every practitioner.

5 chapters

Business & Process

Deciding whether and why to apply AI, and the Agile way data science work is delivered.

2 chapters

How to use this site

There are two ways through the material:

  • By week — follow the 12-week program schedule, module by module.
  • By capability tier — find your level (Foundations → Professional), see what each tier expects, and pick up where your gaps are.

A typical learning path:

  1. Python fundamentals, then Git and SQL (the Practitioner toolkit)
  2. Data exploration → feature engineering → algorithm families
  3. Neural networks → model training → CNNs → transformers
  4. Model evaluation, then the hands-on labs and the capstone project