Agentic RPA: Langgraph Orchestration For Developers https://WebToolTip.com MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.25 GB | Duration: 1h 7m
Transition from linear RPA to stateful agentic flows using LangGraph, checkpointers, and UiPath integration.
What you'll learn
Differentiate between linear RPA limitations and stateful agentic orchestration architectures.
Design and deploy LangGraph nodes and edges to create cyclical, self-correcting workflows.
Implement enterprise state management using StateGraph, reducers, and persistent checkpointers.
Integrate human-in-the-loop validation using dynamic breakpoints and time-travel debugging.
Execute the Orchestrator-Worker pattern to combine LangGraph reasoning with UiPath execution.
Manage parallel execution and concurrency through super-steps and fan-out/fan-in patterns.
Monitor and optimize agentic performance using LangSmith for tracing and cost evaluation.
Deploy scalable REST API endpoints to expose LangGraph logic to external enterprise systems.
Build resilient error recovery protocols and graceful degradation mechanisms for cognitive tasks.
Facilitate bi-directional data flow between Python-based graphs and RPA platforms.
Requirements
Foundational knowledge of Python programming (functions, dictionaries, and classes).
Basic understanding of Robotic Process Automation (RPA) concepts or experience with tools like UiPath.
Familiarity with API interactions and JSON data structures is recommended.
Access to a development environment capable of running Python 3.9+.