Go from AI basics to production: GPU kernels, LLM serving, and model-level optimization — the AI-systems skills companies actually pay for.
馉 Rolling admission — enroll and start within a day. 1:1 guided.
Enroll now →Curriculum updated in July 2026
A focused path into real AI engineering — the deep, in-demand skills most courses skip.
Just enough attention, transformers, and CNNs to ground everything that follows.
How GPUs really work — memory, compute, and why performance is where it is.
Write and reason about GPU kernels — the core of high-performance AI.
Production inference, throughput/latency, and prefill/decode (P/D) disaggregation.
Operator fusion, quantization, and the techniques that make models fast.
Break down real, recent patents in the AI domain to see how innovation is built and protected.
Start within a day.
1:1-guided modules.
Benchmark real workloads.
Pass the assessment.
Author a paper on arXiv.
India pricing available at checkout. Prices are introductory and adjustable.
A career-defining boost — puts you in the top 0.1% of the AI-engineer market. Paper typically published within ~6 months.
How enrollment works: pick your track and check out securely via Gumroad. You get access to the course material by email and we reach out on our discussion forum within 24 hours to schedule your 1:1 sessions. Seats for 1:1 are limited.
Refund policy: full refund available before access is granted — changed your mind, no problem. Once access begins, the digital content and 1:1 services are non-refundable. See our Refund Policy and Terms.