Every course is engineered with concrete code, reproducible environments, and deep mathematical derivations. Choose your track below.
Deconstruct transformers from the bottom up. Master Byte-Pair Encoding, KV caching, attention compute patterns, and deploy lightning-fast local inference clusters.
Move beyond naive cosine similarity. Architect hybrid search with Reciprocal Rank Fusion, implement Microsoft GraphRAG with community detection, and build multi-vector visual retrieval with ColPali.
Take full ownership of model weights. Master low-rank matrix decomposition, 4-bit normal float quantization, ultra-efficient Unsloth training loops, and preference alignment via DPO without RL reward models.
Move past toy agent frameworks. Design production multi-agent swarms using LangGraph, deterministic state persistence, sandboxed execution, and Anthropic's Model Context Protocol (MCP).
Break through the memory bandwidth wall. Understand NVIDIA GPU architecture (SMs, warps, tensor cores), write fused Triton kernels, and tune multi-GPU clusters running vLLM and TensorRT-LLM.
Architect high-throughput multi-provider gateways with dynamic latency hedging, Redis token-bucket rate limiting, tiered semantic caching, and GPU capacity planning.