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 for 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.
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.