LangChain and LangGraph for AI Agents
Professional skills preparation with worked examples, written practice and independent learning assessments.
Professional LangChain and LangGraph for AI Agents course covering: LangChain core concepts: models, prompts and chains; LCEL, output parsers and structured output; Retrieval chains and document loaders; Tools and tool-calling agents; LangGraph: state graphs, nodes and edges; Human-in-the-loop, persistence and memory in LangGraph; LangSmith tracing and evaluation; Deploying LangGraph agents: capstone. Practical lessons, hands-on labs, exercises, quizzes and a final exam. Includes lessons, supplementary YouTube tutorials, practical exercises, quizzes and free/paid practice tests. Erudex is independent, not affiliated with the source institution or awarding body. Its 80% learning checks are not official grades or university credit. Content requires qualified subject review before use as a complete teaching programme.
Curriculum
One complete track with its own final exam and certificate.
Professional LangChain and LangGraph for AI Agents course covering: LangChain core concepts: models, prompts and chains; LCEL, output parsers and structured output; Retrieval chains and document loaders; Tools and tool-calling agents; LangGraph: state graphs, nodes and edges; Human-in-the-loop, persistence and memory in LangGraph; LangSmith tracing and evaluation; Deploying LangGraph agents: capstone. Practical lessons, hands-on labs, exercises, quizzes and a final exam.
LangChain core concepts: models, prompts and chains
- Lesson 1: Chat models, messages and the LangChain runtime Lab60 min
- Lesson 2: Prompt templates and explicit conversation context Lab60 min
- Lesson 3: Build a basic prompt-to-model chain Lab60 min
- Lesson 4: Engineer a reliable model-backed application boundary Lab60 min