AI Engineering Principles
A four-week deep-dive on the engineering disciplines AI systems demand at production scale.
- Starts
- August 2026
- Format
- Live, online
- Seats
- ≈15
- Price
- ₹75,000
Founding Member
Faculty
To be announced
Named once the roster is locked.
Faculty drawn from
AppleRubrikAnthropic
Three named faculty are confirmed for the founding cohorts; bios land the week before applications close.
Syllabus
Four weeks. Built for shipping.
- Week01
Model selection and the cost / latency / capability frontier
- Reason about model trade-offs against real workload shapes.
- Choose between hosted, open-weight, and fine-tuned models with discipline.
- Week02
Retrieval, context, and the data layer
- Design retrieval pipelines that survive real corpora.
- Avoid the common failure modes of naive RAG stacks.
- Week03
Evals, telemetry, and continuous quality
- Build offline eval sets from real traces, not synthetic data.
- Instrument production behavior with the right telemetry.
- Week04
Shipping: deployment, fallbacks, and accountability
- Design graceful degradation and fallbacks for production surfaces.
- Stand up the on-call disciplines AI systems demand.
Logistics
How the four weeks run.
- Start date
- August 2026
- Cadence
- Two live sessions / week · 90 min each
- Timezone
- IST primary · recordings within 24h
- Commitment
- ≈6 hrs / week × 4 weeks
- Cohort size
- ≈15
- Certificate
- Luminary-branded on completion
Apply
The room is small. The bar is relevance.
Applications are read by faculty. Expect a short conversation before an offer is extended.
₹1,00,000₹75,000·Founding Member — 25% off
Per seat · per cohort · ≈4 weeks