Interactive
AI Engineering Learning Tracks
Hands-on learning resources for engineers building with AI. Every track combines annotated source code, visual architecture diagrams, and curated research references.
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Agentic AI Patterns
22 lessonsA practical guide to LangGraph & LangChain agent architectures — from the foundational ReAct loop to advanced patterns like GraphRAG, Tree of Thoughts, and Speculative Execution.
BMAD Method
25 lessonsBreakthrough Method of Agile AI-Driven Development — role-based workflows, artifact chains, grooming patterns (including Party Mode), and prompt templates for building software with AI.
RAG System Design
10 lessonsEnd-to-end retrieval-augmented generation from chunking strategy to production architecture — embeddings, vector search, reranking, grounded prompting, evaluation, and advanced patterns.
Prompt Engineering
10 lessonsFrom zero-shot instructions to production evaluation suites — chain-of-thought, few-shot, structured output, system prompt architecture, tool use, adversarial robustness, and systematic iteration.