GPU & AI Compute

A complete programme for engineers running AI infrastructure, built as a progression from computer architecture up to thousand-GPU training. Several courses map to the NVIDIA certification ladder.

11 courses · available in all eight cities and live online

Phase 0–1 · Foundations2 courses

AIC-1003 days Foundations for AI Compute The architecture, operating system and networking groundwork every GPU systems engineer is assumed to have and often does not. Foundation Practitioner-taught SAR 6,750Next 25 Oct AIC-1103 days GPU Architecture, Memory & Interconnects How the hardware constrains your workload: SIMT execution, the memory hierarchy and the fabric between GPUs. FoundationNCA-AIIO Practitioner-taught SAR 6,750Next 11 Oct

Phase 2–3 · Systems & fabric2 courses

AIC-2004 days Linux for GPU Systems What the kernel is doing underneath your training job, and how to tune it. The layer almost nobody teaches. Practitioner Practitioner-taught SAR 10,500Next 15 Nov AIC-2104 days RDMA & AI Cluster Networking Build and debug the fabric distributed training runs on, from queue pairs up to a tuned NCCL all-reduce. PractitionerNCP-AIN Practitioner-taught SAR 10,500Next 1 Nov

Phase 4–5 · Programming2 courses

AIC-2205 days CUDA & HIP Programming Write, profile and optimise GPU kernels on both vendors, including the CUDA-to-HIP porting path. Practitioner Practitioner-taught SAR 13,120Next 11 Oct AIC-2304 days Distributed Training with PyTorch From a single-GPU training loop to sharded multi-node training that survives a node failure. Practitioner Practitioner-taught SAR 10,500Next 15 Nov

Phase 6–8 · Platform3 courses

AIC-3004 days Containers, Kubernetes & GPU Schedulers Run a shared GPU cluster multiple teams can actually use: partitioning, scheduling, quotas and isolation. PractitionerNCP-AII Practitioner-taught SAR 10,500Next 18 Oct AIC-3103 days Storage & Data Pipelines for AI Stop starving your GPUs: parallel filesystems, GPUDirect Storage and pipelines built for sustained throughput. Practitioner Practitioner-taught SAR 7,880Next 22 Nov AIC-3203 days MLOps & Inference Serving Get models off a laptop and onto a GPU endpoint that scales, with the pipeline machinery around them. PractitionerNCP-AIO Practitioner-taught SAR 7,880Next 1 Nov

Phase 9–10 · Scale2 courses

AIC-3302 days AI Infrastructure Security & Observability Harden a multi-tenant GPU platform and see what it is doing before users report a problem. Advanced Practitioner-taught SAR 6,000Next 18 Oct AIC-4003 days Large-Scale Training & Datacenter Architecture The thousand-GPU conversation: 3D parallelism, reference architectures, TCO and where the hardware is heading. Advanced Practitioner-taught SAR 9,000Next 8 Nov