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UiPath UiPath-AAPv1 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Autopilot for Everyone | - Using specialized Autopilots - Determining when to use Autopilot for Everyone |
| Topic 2: UiPath Platform components and integrations | - Applying agent tool guardrails - Data Fabric integration - Building and publishing API workflows as reusable agent tools - Creating agent tools in Studio Web - Using Run Job in Studio Web - Integrating MCP assets as agent tools - Troubleshooting tool execution using traces and evaluations - Reusing existing agents within new agents - Mapping connector actions into agent prompts - Designing input and output schemas for tools - Creating connections through Integration Service |
| Topic 3: Prompt engineering | - Applying clarity, specificity, and conciseness - Including context, instructions, output formats, and constraints - Iteratively refining prompts based on evaluation feedback - Designing structured few-shot prompts - Crafting zero-shot prompts for simple tasks - Prompt engineering best practices |
| Topic 4: Conversational Agents | - Conversational Agents |
| Topic 5: Agentic discovery and blueprint design | - Designing agent stories using triggers, instructions, context, human-in-the-loop requirements, and tools - Prioritizing automation opportunities based on feasibility and impact - Selecting tools appropriate to agent objectives - Mapping context sources and grounding strategies - Defining agent goals and evaluation criteria - Assessing agentic automation opportunities in business processes - Mapping business process steps to agent tasks - Differentiating system prompts and user prompts |
| Topic 6: Agentic orchestration with UiPath Maestro | - Using BPMN to model business processes and assign tasks to robots, agents, and humans - Configuring Service Tasks to invoke agents using Start and wait for agent - Configuring User Tasks with Action Apps forms for escalations - Instance management - Chaining multiple agents within a process - Using Send and Receive tasks with Integration Service connectors and webhooks - Configuring dynamic assignees, SLAs, and expiry rules for user tasks - Defining global, local, and task-specific process variables - Capturing user inputs and returning structured data to processes - Using the expression editor and scripts for data transformation and conditional routing - Mapping input and output parameters between Maestro tasks and agents - Handling asynchronous agent completion events and callbacks - Defining and using API workflows - Maestro best practices - Configuring Service Tasks to invoke automation workflows from Orchestrator - Maestro control flow |
| Topic 7: AI Trust Layer | - Using a custom tenant as an LLM gateway - Personally identifiable information masking in transit - Using audit logs and usage summaries |
| Topic 8: Agentic evaluations | - Analyzing evaluation failures to identify root causes and error patterns - Identifying edge cases and failure scenarios - Using execution traces to troubleshoot failed evaluations - Differences between deterministic and model-graded evaluations - Iteratively improving agent performance - Creating input-output pairs for diverse scenarios - Selecting strict or flexible assertions based on use cases - Interpreting evaluation scores - Optimizing prompts using evaluation results - Evaluation concepts and their role in agent reliability - Selecting deterministic and model-graded assertions - Designing evaluation datasets that reflect real-world complexity - Executing evaluation sets and analyzing accuracy and reliability |
| Topic 9: UI Agent | - UI Agent (ScreenPlay) |
| Topic 10: Agent management | - Analyzing execution traces to understand agent behavior - Monitoring agent usage, unit consumption, and incidents - Using agent scores to track performance - Applying governance policies to enable, disable, and control agent functionality - Best practices for building, publishing, and deploying agents - Assigning policies at tenant, group, and user levels - Agent tool and context grounding simulations |
| Topic 11: Context Grounding | - Monitoring index queries and jobs - Configuring thresholds and result limits for precision and relevance - Context grounding concepts and implementation - Context engineering best practices - Ingestion and retrieval methods - Using context grounding indexes to store and retrieve relevant information for agent memory - Context grounding sources and configuration options - Implementing index update strategies |
| Topic 12: Escalations | - Defining escalation logic - Configuring UiPath Action Apps for human-in-the-loop escalations - Human-in-the-loop concepts and the importance of human oversight |
| Topic 13: Agentic AI and agentic automation concepts | - Agentic orchestration and collaboration between robots, agents, and humans - Definitions of agents and distinctions between generative AI and agentic AI - Best practices for agentic automation, including intelligent decision-making, adaptability, goal-oriented execution, and multi-task coordination |
| Topic 14: Coded Agents | - Coded Agents |
