Agentic Automation Associate Training

This learning plan guides you through the complete journey of building, configuring, and evaluating intelligent agents in UiPath Studio Web, with a strong focus on Generative AI (Gen AI) activities and scalable evaluation strategies.

Start by exploring the fundamentals in Build your first agent with Studio Web, where you’ll create your first intelligent agents using both no-code tools and Autopilot. Then deepen your knowledge with Agentic prompt engineering, learning how to design effective prompts that guide AI agents to generate useful, accurate, and structured outputs.

Next, in Configure context and escalations for agents, you’ll take your agents from functional to enterprise-ready—grounding their responses in business context and designing escalation flows for human-in-the-loop scenarios. Finally, with Configure evaluations for agents, you’ll learn how to test and refine your agents using structured evaluation sets and powerful scoring methods like LLM-as-a-Judge, Exact Match, and JSON Similarity.

By the end of this learning plan, you’ll be able to confidently build and deploy Studio Web agents that are reliable, context-aware, and evaluation-driven.

All courses in this learning plan use the Community version of UiPath Studio Web.

Before starting this learning plan, you should: 

• Be familiar with basic automation concepts (e.g., variables, workflows, control structures) 

• Have access to UiPath Studio Web through Automation Cloud 

• Be open to learning through hands-on projects and experimentation 

Recommended prep courses: 

• Introduction to Agentic Automation 

• Introduction to Automation 

This learning plan is designed for: 

• Automation Developers and Technical Professionals building agents in Studio Web 

• Business Users and Citizen Developers exploring Gen AI use cases 

• Anyone looking to implement AI-powered decision-making, prompt engineering, and structured agent evaluation 

The plan includes four structured, hands-on courses:

1. Build your first agent with Studio Web

• Configure agents using Autopilot and from scratch

• Understand core agent components: tools, prompts, contexts

• Build a transcript processing agent

• Learn agent scoring and evaluation basics

2. Agentic prompt engineering

• Learn zero-shot, few-shot, and chain-of-thought prompting

• Apply system vs. user prompts for autonomous agents

• Explore prompt health scoring and optimization

3. Configure context and escalations for agents

• Implement grounding with storage buckets

• Build escalation apps using Action Center

• Design multi-agent flows combining AI and human decisions

4. Configure evaluations for agents

• Create evaluation sets and reusable evaluators

• Use Gen AI scoring with LLM-as-a-Judge

• Track agent health and ensure enterprise readiness

By the end of this learning plan, you should be able to: 

• Build agents using UiPath Studio Web with no-code and Autopilot 

• Craft effective prompts to guide LLM behavior and agent actions 

• Design agents that respond using context and escalate to humans when needed 

• Configure robust evaluation strategies using Gen AI and structured scoring 

• Optimize agent performance and readiness for production environments