Intensive course on building AI products full-stack — from LLM application architecture to production deployment with monitoring and cost optimization. Study LLM architecture (tokenization, attention), RAG pipelines (chunking, embedding, retrieval), AI agents (ReAct, tool use, memory), model fine-tuning (LoRA, QLoRA, RLHF), vector databases (Chroma, Qdrant, Pinecone). Learn to deploy AI services via Docker/Kubernetes, monitor latency/cost/quality and optimize inference costs. Final project — a production-ready AI product.
Purchase access to unlock all modules. One payment — one course of your choice.