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AI and AutomationAdvanced
Deploying AI Agents
Take AI agents from prototype to operable system. You will work on agent architectures, tool calling, LangGraph orchestration, FastAPI APIs, monitoring, observability, and scaling patterns for services powered by LLMs.
14 lessonsCertificate includedUSD 10 (~ARS 10.000)
Course syllabus
1Agent architecture
3 lessons
Agent architecture
- What an agent is: ReAct, tools, and memory
- LangChain vs LangGraph: when to use each one
- Designing reliable and observable agents
2Building with LangChain
3 lessons
Building with LangChain
- Chains, tools, and tool calling
- Conversational memory and persistence
- Agents with access to external APIs
3Flows with LangGraph
3 lessons
Flows with LangGraph
- State graphs: nodes and edges
- Human-in-the-loop and checkpoints
- Multi-agent coordination and delegation
4Deployment and production
4 lessons
Deployment and production
- FastAPI as an agent gateway
- Streaming responses to the client
- Observability with LangSmith
- Scaling, rate limiting, and costs
5Final project
1 lessons
Final project
- Deployed agent that solves a real problem
What you will learn
LangChainLangGraphFastAPIAutonomous agentsAgent observabilityScaling
Certificate
AI Agent Engineer Certificate - CumbreAcademy
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Investment: USD 10 (~ARS 10.000)
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