Designing AI Agents with UiPath Agentic Automation

Traditional robotic process automation is evolving, shifting from rigid, rule-based scripts to intelligent, self-directing agents. To stay ahead in the automation space, you need to understand how to design and deploy AI-driven workflows that can reason, adapt, and make decisions. This text-based course guides you through the concepts and practical steps of agentic automation. You will transition from setting up basic static bots to designing dynamic, autonomous AI agents that leverage large language models to handle complex, real-world tasks. What you'll learn: Understand the foundational concepts of agentic design patterns and how they differ from traditional RPA; Configure integration services and connect AI models to your automation workflows; Design autonomous agents that can plan, reason, and execute multi-step business processes; Apply prompt engineering principles to guide agent behavior and decision-making accuracy; Implement robust error handling and human-in-the-loop validation for autonomous workflows; Practice building end-to-end agentic automations through structured written exercises and workflow logic analysis. The course starts with essential terminology, core agentic architectures, and foundational AI principles. You will then progress step-by-step through configuring agents, managing context, and deploying intelligent workflows. Designed for beginners, automation enthusiasts, and developers looking to transition into AI-driven RPA, with no prior agentic programming experience required. Start reading today to unlock the next generation of intelligent automation.