LLM Application Development Language
6 exercises covering the English developers use when building LLM-powered applications — RAG pipelines, function calling, evaluation metrics, prompt engineering, LLMOps, and agentic systems.
RAG Pipeline Vocabulary
Master chunking, embeddings, vector stores, cosine similarity, and hybrid retrieval vocabulary.
Function Calling & Tool Use Language
Practice describing function schemas, tool selection, parallel calls, and result integration.
LLM Application Evaluation Language
Learn faithfulness, answer relevance, hallucination, LLM-as-judge, and eval suite vocabulary.
Advanced Prompt Engineering Language
Chain-of-thought, few-shot, system prompts, sampling parameters, and prompt injection vocabulary.
LLMOps Workflow Language
Prompt versioning, model registry, observability, A/B testing, and monitoring alert vocabulary.
AI Agent & Agentic System Vocabulary
ReAct pattern, memory types, multi-agent systems, reflection loops, and agent observability.