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.
Join the waitlistWho should take this program?
You'll get the most from this if
- Completion of LLM Engineering or the agentic track
This is not for
- Anyone looking for a standalone introduction — electives assume the core
What you will build
- A domain-specific system built against realistic constraints
- A constraint map: what regulation, data sensitivity and audit requirements change about the design
What you learn, week by week
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.
Tools and stack you will use
Fees
Request pricing
Fees depend on cohort, format, and whether this runs for an individual or a team. We'll send the full breakdown.
Get fee detailsQuestions people ask
Which domains run?
Financial services and public sector run most often. Healthcare and energy run on demand.
Can my organisation request a domain?
Yes — that is usually an enterprise engagement rather than an open elective.