AI Agents – Designing Autonomous Systems with LangChain and LangGraph – Advanced

This advanced training enables technical profiles to design robust, controllable, and deployable AI agents for professional environments. It goes beyond simple demonstrations of "tool-calling" agents to address the structuring of maintainable agentic architectures, state management, multi-agent orchestration, secure tool integration, and control over costs, risks, and execution trajectories.

• Master advanced concepts related to AI agents: tools, planning, memory, state, flow control, and reasoning loops.
• Design agents using LangChain by structuring prompts, tools, callbacks, and decision logic.
• Build stateful agent workflows with LangGraph by managing states, transitions, conditions, and execution recovery.
• Choose between mono-agent architecture, workflow-driven, and multi-agent orchestration based on business needs.
• Integrate external tools reliably: APIs, databases, files, scraping, and business services.
• Implement control mechanisms: guardrails, action validation, supervision, cost limitation, and observability.
• Develop a complete, testable, and maintainable business agent, considering enterprise IT system constraints.