Udemy
Basic RAG with LangChain and LangGraph - Ollama
Artificial Intelligence · Data Science · Development
Library / Artificial Intelligence
On Udemy
Step into LangChain interviews with the kind of practice that feels like the real thing sharp, technical, and built for senior-level conversations.
This Udemy Practice Test course is designed for candidates who already know the basics and now need to prove depth: LCEL (LangChain Expression Language), Runnables, tool calling/function calling, RAG architecture, retrievers and rerankers, evaluation strategy, tracing/observability, safety and prompt-injection defenses, and LangGraph-style orchestration for stateful workflows. Every question is written to test decision-making, not memorization, exactly what strong interviewers look for.
You’ll practice diagnosing failure modes (hallucinations despite retrieval, invalid structured outputs, rate limits, and looping agents), choosing the right abstractions (sequence vs parallel, batching vs fan-out, and adapters vs hardcoded SDKs), and designing production-grade systems (multi-tenant controls, schema validation, idempotency, caching, retries, and privacy-aware logging). Explanations are concise and practical, so you learn the “why,” not just the answer key.
By the end, you’ll be able to speak confidently about LangChain system design, debugging, and operational excellence, and back it up under pressure.
Who this is for
Engineers preparing for LangChain/LLM app interviews (senior/expert level)Builders shipping RAG + tool-using agents in production
Architects who want sharper, interview-ready tradeoff thinking
Requirements
Comfort with Python and core LLM concepts (prompts, embeddings, RAG basics)
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Udemy: 2026-09-27 · Coursera: 2026-09-27
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