Class Overview
What will we do?
This class will introduce the set-up for agentic workflows using UiPath's Maestro. Specifically, we will combine RPA workflows with UiPath's agents to provide a more flexible and/or powerful automation solution. The goal is to understand which parts of a workflow should be automated via RPA and which parts require the use of an agent, or LLM based Generative AI component.
Materials and Preparation
Class Materials
- Link: Openrouter.ai for connecting to a backup LLM in UiPath's API tool (free tier available).
- Link: UiPath Studio web starter for API access to openrouter.ai.
- Link: UiPath Maestro starter file as an example of combining RPA and agents.
- Link: UiPath's Community Forum (another place for finding potential solutions).
- Slides: PowerPoint or PDF
- Automation Tools: UiPath Maestro, Agents, RPA workflows
- Suggested in-class seating: Teams
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Suggested Pre-Class Preparation
- You should have started the data validator challenge and have a partial or working RPA solution saved in your cloud projects file.
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Class Plan
- After a brief review, we will move to introducing agentic workflows.
- We will start by defining and discussing key terminology relating to agentic workflows, and the design choices for what parts of a workflow are best suited for RPA vs agents.
- Teams will then meet to discuss their final project ideas and how they may use a combination of RPA and agents in their final project design.
- We will undertake a short exercise to connect to a backup LLM using openrouter.ai and apply it in UiPath's API tool.
- Finally, we will work through an example case together that combines RPA and agents to complete a workflow using UiPath's Maestro.