Learn the basics of LangChain to build AI applications. From installation to your first functional pattern.
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Learn the five workflow patterns for LLM applications, with Python code: when to use each, how to put limits on them, and which mistakes to avoid before reaching for an autonomous agent.
Build an MCP server with the Python SDK: tools with structured output, resources, prompts, tests against the real protocol, HTTP transport and security measures.
Manage AI agent context with compaction, external memory, selective retrieval, and bounded tool results.