trainai
All courses
AI EngineeringAdvanced10 daysIn-person · KL

AI Engineering Deep Dive

Two weeks. End-to-end. Capstone shipped.

The flagship engineering bootcamp. Two weeks, full-time, capped at a small cohort. You leave with a working AI feature you built, an evaluation pipeline, and the operational mindset to keep it running.

Outcomes

What you'll leave with.

  • A production-deployed AI feature you built
  • A complete evaluation and observability stack
  • A direct line into AITG’s engineering team for post-graduation support

Prerequisites

Strong Python or TypeScript. Production deployment experience.

Curriculum

Day by day.

  1. 01

    Week 1 · Foundations and patterns

    • Provider abstractions and the Teragrid Ai Platform SDK
    • Evaluation pipelines from day one
    • Retrieval, tool use, structured output, and agent loops
    • Capstone scoping
  2. 02

    Week 2 · Build, ship, operate

    • Building your capstone end-to-end
    • Observability, cost modelling, and failure handling
    • Production deployment and graduation showcase

Your instructor

Maya R.

Lead Instructor · AI Engineering Track

Maya leads the engineering-track bootcamps at trainai. Her teaching focuses on the parts of AI development that are skipped in most courses — evaluation, observability, and the long tail of production failures. (Placeholder bio.)