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UiPath Agentic Automation Associate

This course, available on Coursera with content from UiPath, takes you through the complete journey of building, configuring, and evaluating intelligent agents in UiPath Studio Web, with a focus on Generative AI (Gen AI) activities and scalable evaluation strategies.

You’ll begin with Build your first agent with Studio Web, where you’ll create intelligent agents using no-code tools and Autopilot. Then, in Agentic prompt engineering, you’ll learn to design effective prompts that help AI agents deliver accurate, structured, and useful outputs.

With Configure context and escalations for agents, you’ll make your agents enterprise-ready by grounding their responses in business context and creating escalation flows for human-in-the-loop scenarios. Finally, in Configure evaluations for agents, you’ll explore structured evaluation sets and scoring methods like LLM-as-a-Judge, Exact Match, and JSON Similarity to test and refine your agents.

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

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Learners who complete UiPath Agentic Automation Associate will develop knowledge and skills that may be useful to these careers:

Prompt Engineer

A Prompt Engineer specializes in crafting, refining, and optimizing prompts to guide large language models and AI agents to produce accurate, structured, and useful outputs. This course is exceptionally tailored for aspiring Prompt Engineers, dedicating an entire module to agentic prompt engineering. Learners will delve into techniques such as zero-shot, few-shot, and chain-of-thought prompting, understanding how to apply system versus user prompts for autonomous agents. The curriculum also covers prompt health scoring and optimization, which are crucial for ensuring the reliability and performance of AI agents in real-world applications. By mastering these specific skills, you will be well-equipped to design effective prompts that drive the intelligence and utility of Generative AI agents, a core competency for this career.

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AI Automation Engineer

An AI Automation Engineer is responsible for designing, developing, and deploying intelligent systems that automate complex business processes using artificial intelligence. This course provides a robust foundation for becoming an effective AI Automation Engineer by guiding learners through the complete journey of building, configuring, and evaluating intelligent agents in UiPath Studio Web. You will gain hands-on experience creating agents using no-code tools and Autopilot, focusing on Generative AI activities. The detailed modules on agentic prompt engineering, configuring context, and designing escalation flows for human-in-the-loop scenarios are essential for building reliable, enterprise-ready solutions. Furthermore, the emphasis on structured evaluation sets and scoring methods like LLM-as-a-Judge helps ensure the quality and effectiveness of deployed automation, a critical skill for this role.

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AI Quality Assurance Engineer

An AI Quality Assurance Engineer is dedicated to testing, validating, and ensuring the reliability, accuracy, and performance of artificial intelligence systems, including intelligent agents. This course provides an exceptional fit for an AI Quality Assurance Engineer, particularly through its dedicated module on configuring evaluations for agents. You will learn to create structured evaluation sets and utilize powerful scoring methods such as LLM-as-a-Judge, Exact Match, and JSON Similarity. These techniques are fundamental for systematically testing and refining agents. Furthermore, the course teaches how to track agent health and ensure enterprise readiness, directly aligning with the core responsibilities of a QA professional in the AI domain. This robust foundation in evaluation empowers you to deliver high-quality, dependable AI solutions.

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Generative AI Developer

A Generative AI Developer creates and implements applications that harness the power of generative artificial intelligence to produce new content, solve problems, or automate tasks. This course is highly relevant for a Generative AI Developer, as it focuses extensively on Generative AI activities within the context of intelligent agents. You will learn to build and deploy Studio Web agents, which are inherently driven by Gen AI, utilizing no-code tools and Autopilot. The curriculum's emphasis on designing effective prompts to generate accurate outputs and configuring robust evaluation strategies (including LLM-as-a-Judge) is vital. This foundational knowledge ensures you can confidently develop agents that are reliable, context-aware, and evaluation-driven, preparing you for the practical demands of creating cutting-edge Gen AI solutions.

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Machine Learning Operations Engineer

A Machine Learning Operations Engineer builds and maintains the infrastructure and processes for deploying, monitoring, and managing machine learning models and AI systems in production environments. This course is highly relevant for a Machine Learning Operations Engineer, as it covers the practical aspects of deploying Studio Web agents and ensuring their enterprise readiness. The curriculum emphasizes scalable evaluation strategies, which are crucial for monitoring agent performance post-deployment. Learning to configure context, track agent health, and design human-in-the-loop escalation flows provides critical skills for managing agents effectively throughout their lifecycle. This knowledge ensures that deployed agents remain reliable, context-aware, and perform optimally in operational settings, aligning perfectly with MLOps principles.

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Robotic Process Automation Developer

A Robotic Process Automation Developer designs, builds, and deploys software robots to automate repetitive tasks, enhancing efficiency and accuracy. While traditional RPA often focuses on structured tasks, this course expands those capabilities by introducing intelligent agents in UiPath Studio Web. As a Robotic Process Automation Developer, you will learn to configure agents, integrate Generative AI activities, and build advanced automation solutions that can handle more complex, cognitive tasks. The modules on configuring context, creating escalation flows for human-in-the-loop scenarios using Action Center, and designing multi-agent flows are particularly beneficial for extending RPA into agentic automation, making processes more adaptable and robust in enterprise environments.

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Automation Engineer

An Automation Engineer designs, implements, and maintains systems and processes that operate automatically, often integrating various technologies to streamline operations. This course enhances the skill set of an Automation Engineer by focusing on intelligent agentic automation. You will learn the complete journey of building, configuring, and evaluating intelligent agents in UiPath Studio Web, leveraging Generative AI activities. The ability to create agents using no-code tools, design effective prompts, and configure context and escalation flows is directly applicable to developing robust and adaptable automation solutions. Furthermore, the emphasis on structured evaluation strategies helps ensure the reliability and continuous improvement of automated processes, making you adept at deploying modern, intelligent automation systems.

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AI Solutions Architect

An AI Solutions Architect designs and oversees the implementation of enterprise-level artificial intelligence solutions, ensuring they meet business needs and integrate seamlessly into existing IT infrastructures. This course helps an aspiring AI Solutions Architect by providing an in-depth understanding of building, configuring, and evaluating intelligent agents, which are key components in many modern AI architectures. You will learn to make agents enterprise-ready by grounding their responses in business context and designing escalation flows that combine AI with human decisions. This knowledge is crucial for architecting reliable, context-aware, and scalable agent deployments. The focus on evaluation strategies also ensures that architects can design systems with measurable performance and health tracking, vital for successful enterprise adoption. This role typically requires an advanced degree in a related technical field, along with significant professional experience.

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AI Integration Specialist

An AI Integration Specialist focuses on seamlessly embedding AI solutions, such as intelligent agents, into existing enterprise systems, applications, and workflows. This course provides a strong foundation for an AI Integration Specialist by covering the configuration of intelligent agents and their operational aspects. You will learn to make agents enterprise-ready by grounding their responses in specific business contexts using storage buckets, ensuring data continuity. Crucially, the course teaches how to design escalation apps using Action Center and build multi-agent flows that combine AI with human decisions. This knowledge is vital for creating robust interfaces and orchestrating complex interactions between AI agents and other system components, facilitating smooth and effective deployments within diverse IT landscapes.

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Data Analyst Automation Performance

A Data Analyst Automation Performance collects, processes, and analyzes data to measure the efficiency, effectiveness, and impact of automated processes and AI solutions. This course provides highly relevant skills for a Data Analyst Automation Performance, particularly through its comprehensive module on configuring evaluations for agents. You will learn agent scoring and evaluation basics, how to create structured evaluation sets, and use powerful scoring methods like LLM-as-a-Judge, Exact Match, and JSON Similarity. This knowledge is fundamental for collecting meaningful data on agent performance and output quality. By mastering these techniques, you will be equipped to track agent health and derive actionable insights, which are crucial for optimizing automation performance and demonstrating business value.

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Business Process Automation Consultant

A Business Process Automation Consultant advises organizations on optimizing workflows and implementing automation technologies to improve efficiency and productivity. This course prepares consultants to leverage advanced agentic automation. As a Business Process Automation Consultant, you will gain a deep understanding of building intelligent agents using no-code tools and Autopilot in UiPath Studio Web. The ability to configure agents to be enterprise-ready by grounding responses in business context and designing escalation flows for human intervention is critical for delivering comprehensive solutions. Understanding scalable evaluation strategies also allows you to quantify the impact and reliability of proposed automations, thereby strengthening your recommendations and ensuring successful client implementations in evolving business landscapes.

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Continuous Improvement Specialist Automation

A Continuous Improvement Specialist Automation identifies opportunities to enhance processes and systems through automation, constantly seeking efficiencies and optimizing performance. This course is well-suited for a Continuous Improvement Specialist Automation, providing the tools to build and refine intelligent agents. The curriculum's strong focus on configuring evaluations for agents, using structured evaluation sets, and robust scoring methods like LLM-as-a-Judge, Exact Match, and JSON Similarity, directly supports the continuous improvement cycle. You will learn to track agent health and ensure enterprise readiness, which enables systematic monitoring and iterative refinement of automated processes. This capability is essential for sustaining high performance and adapting automation solutions to evolving business requirements.

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AI Product Manager

An AI Product Manager guides the strategy, development, and launch of artificial intelligence features and products, bridging technical capabilities with market needs. This course may be helpful for an AI Product Manager by providing a foundational understanding of how intelligent agents are built, configured, and evaluated. Understanding core agent components, the specifics of prompt engineering for desired outputs, and how to ground agents in business context are insights that can inform product vision and feature prioritization. While the role primarily focuses on market and user needs, knowing the practical aspects of building enterprise-ready agents and their evaluation strategies can lead to more informed product decisions and realistic development roadmaps for AI-powered solutions.

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Technical Support Specialist AI Automation

A Technical Support Specialist AI Automation provides expert assistance and resolves issues for users deploying or maintaining AI-powered automation solutions and intelligent agents. This course may be useful for a Technical Support Specialist AI Automation, as it provides a comprehensive understanding of how UiPath Studio Web agents are built, configured, and evaluated. Knowledge of core agent components, prompt engineering, context configuration, and escalation flows for human-in-the-loop scenarios is invaluable for diagnosing and troubleshooting common problems. By understanding the underlying architecture and operational principles of these agents, you will be better equipped to provide effective support and guidance, ensuring smooth operation for end-users and facilitating quicker problem resolution in complex automation environments.

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AI Ethics and Governance Specialist

An AI Ethics and Governance Specialist works to ensure that AI systems are developed, deployed, and used responsibly, adhering to ethical principles, regulations, and societal values. This course may be helpful for an AI Ethics and Governance Specialist by providing a detailed understanding of how AI agents are configured and evaluated, which is crucial for identifying and mitigating risks. Gaining insight into grounding responses in business context helps address potential biases or misinterpretations. The course's evaluation methods, including LLM-as-a-Judge, offer practical means to assess agent behavior for fairness and accuracy, informing ethical oversight. Understanding human-in-the-loop scenarios is also key to designing transparent and accountable AI systems. This role often requires an advanced degree in a relevant field.

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Artificial Intelligence

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Provides a comprehensive overview of intelligent robotics, including the design, implementation, and evaluation of intelligent agents. It is written by two leading researchers in the field and is considered one of the best textbooks on intelligent robotics.

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