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Forward Deployed
Forward Deployed

Learning Path

ML Engineer

From models to production systems, and to framing trade-offs for customers.

For: ML engineer going to production. Models and training, weaker on systems and customers.

About 155 hours of required and recommended study · 30 required, 4 recommended, 10 optional, 6 later

Ready When

  • Every required module completed: lessons read and confidence rated 3 or more.
  • Two technical worksheets answered inside 45 minutes each.
  • Two timed mock interviews scored on the rubric, with no dimension below 3.

When to Skip

The LLM and retrieval track, including ML fundamentals, once you can explain each module without notes.

Modules, Track by Track

Work through the tracks in this order. Each module shows its flag on this path and your status.

Required
Study this module; the path assumes it.
Recommended
Study it if you have time; it strengthens the core.
Optional
Fill a gap only if you need it.
Later
Part of this path once it is written; it has no lessons yet.
Skip
Not part of this path.

  1. T0Orientation

  2. T1Engineering Foundations for AI

  3. T2LLM and Retrieval Fundamentals

  4. T3Agentic Systems

  5. T4Production AI Systems

  6. T5AI Systems Design

  7. T6Forward Deployed Engineering

  8. T7Communication and Behavioural

  9. Interview Practice and Revision

  10. T8Capstone and Portfolio

Not the right fit? Compare all paths or take the diagnostic.