Fast-track certification: from foundation models and prompt engineering to production RAG, fine-tuning with LoRA, LangGraph multi-agent orchestration, and LLMOps.
Complete all 8 milestones to unlock and download your verified certificate (8 remaining).
Understand foundation models, tokenization, autoregressive sampling, context windows, and model selection.
Few-shot prompting, system instructions, JSON mode, Pydantic schemas, and function calling.
Scaled dot-product attention, multi-head self-attention, query-key-value projections, and decoder blocks.
Chunking strategies, embeddings, FAISS vector search, semantic reranking, and hybrid search pipelines.
Chains, tool calling, stateful StateGraphs, conditional routing, human-in-the-loop, and multi-agent coordination.
Supervised fine-tuning (SFT), low-rank adapters (LoRA), 4-bit quantization (QLoRA), and dataset preparation.
Continuous batching, KV caching, vLLM serving, model gateways, and latency optimization.
Grounding evaluation, hallucination detection, prompt injection defenses, and enterprise reliability.