Revision checklist0 / 24

Everything to revise in this notebook, grouped by topic. Ticks are saved on this device.

Agentic AI

Understand core concepts and definitionsKnow agent workflow and architectureBe clear about memory typesUnderstand tool usage and function callingCompare RAG vs Agentic AIPractice system design questionsReview real-world use casesBe ready for scenario based questions

AI System Design

Explain the end-to-end architecture of an AI systemTurn a use case into functional and non-functional requirementsDescribe the data pipeline, training and serving stagesCompare plain LLM, RAG and agentic designsKnow reliability, security and observability techniquesKnow how to evaluate and test LLM and RAG systemsUnderstand MLOps and LLMOpsPractise system design interview questions

LangChain

Explain what LangChain is and how it differs from direct API callsSet up an environment, install packages and load API keys safelySwitch between LLM providers using the unified interfaceWrite PromptTemplate, ChatPromptTemplate and few-shot promptsCompare chains, agents and tools and pick the right oneChoose a memory type for a given conversationBuild a custom tool and use it with an agentBuild a RAG pipeline: loader, splitter, embeddings, vector store, retriever