AppliedIntermediate

Applied AI Electives

Two-week electives applying the core curriculum to one domain — financial services, healthcare, public sector or energy. Same engineering, different constraints, real regulatory context.

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Duration: 2 weeks
Level: Intermediate
Format: Live online
Investment: Request pricing
Next cohort: Dates announced soon

Who this is for

Completion of LLM Engineering or the agentic track

This is not for

Anyone looking for a standalone introduction — electives assume the core

What you leave with

A domain-specific system built against realistic constraints
A constraint map: what regulation, data sensitivity and audit requirements change about the design

Tools and stack

PythonThe core stackDomain datasets

Curriculum

Module 1 — Constraints before code

Map what regulation and data sensitivity forbid
Identify where humans must stay in the loop
Choose an architecture that fits the constraint

Module 2 — Build and defend

Build against the constraint map
Evaluate on criteria the sector actually cares about
Defend the design to a domain reviewer

How this program handles evaluation and governance

Every elective starts with what you are not allowed to do. Constraints are treated as design inputs rather than obstacles, which is the mindset that separates systems that reach production in regulated environments from pilots that never leave the lab.