| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - The Paradigm Shift Rpa Vs Agentic Orchestration | |||
| 1 - Moving Beyond Linear Flows.mp4 | 119.4 MB | ||
| 2 - Core Architecture And State Management | |||
| 3 - Humanintheloop And Attended Automation 20 | |||
| 4 - Interoperability Integrating Langgraph With Uipath | |||
| 5 - Production Best Practices And Observability | |||
| 10 - Streaming And Fault Tolerance.mp4 | 126.3 MB | ||
| 11 - Observability With Langsmith.mp4 | 108.1 MB | ||
| 8 - The Orchestratorworker Pattern.mp4 | 124.6 MB | ||
| 9 - Technical Integration Strategies.mp4 | 123.3 MB | ||
| 6 - Dynamic Breakpoints.mp4 | 96.8 MB | ||
| 7 - Timetravel Debugging.mp4 | 116.7 MB | ||
| 3 - Nodes Edges And Cyclical Flow.mp4 | 114 MB | ||
| 4 - Supersteps And Parallel Execution.mp4 | 107.6 MB | ||
| 5 - State Management And Checkpointers.mp4 | 144.1 MB | ||
| 2 - The Conceptual Bridge For Uipath Developers.mp4 | 101.7 MB |
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+.
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Udemy - Agentic AI and LLM - Build AI Agents with ChatGPT, Ollama and RAG Posted by
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