This module provides a comprehensive introduction to Robotic Process Automation (RPA) and UiPath, explaining its business impact, key components, and use cases. By the end of this module, learners will understand the fundamentals of RPA and how UiPath enables automation.

This module introduces UiPath Studio, its interface, components, and fundamental concepts necessary for automation. By the end of this module, learners will have a solid understanding of UiPath Studio’s capabilities and workflow design.

This module covers UiPath’s recording capabilities and UI automation techniques, enabling learners to automate user interactions with desktop and web applications efficiently.

This module focuses on control structures and error handling in UiPath. It teaches how to manage workflow logic, loops, decision-making, and exception handling to build reliable and efficient automation solutions.

This module covers data processing, transformation, and Excel automation using UiPath. Learners will master managing structured data, manipulating DataTables, CSVs, and JSON files, and automating Excel operations for report generation and data analysis.

This module covers PDF processing and Email automation using UiPath. Learners will master reading, extracting, and manipulating data from PDFs, as well as automating email workflows in Outlook, Gmail, and other email providers.

This module covers the integration of UiPath with databases to automate data-related tasks. Learners will understand how to connect UiPath to SQL and NoSQL databases, perform CRUD operations, and automate data extraction and processing in real-world automation scenarios.

This module covers UiPath Orchestrator, the centralized bot management system, and the deployment of automation projects in a production environment. Learners will gain hands-on experience in publishing, scheduling, and monitoring bots, managing queues and assets, and handling bot execution and governance.

Objective: This module will introduce learners to Robotic Enterprise Framework (REFramework), a widely used framework in UiPath for building scalable, resilient, and well-structured automation workflows. By the end of this module, learners will be able to implement transaction-based processing, exception handling, logging, and state-based automation effectively.

This module focuses on refining your UiPath automation skills with advanced development techniques and best practices for building scalable, maintainable, and efficient automation solutions.

This module delves into Agentic Automation, an advanced RPA concept that integrates AI-driven decision-making, adaptive workflows, and self-learning bots to create intelligent, autonomous automation solutions. You will explore how UiPath can execute complex workflows with minimal human intervention, leveraging AI agents, LLMs (Large Language Models), and self-healing automation.

This module focuses on UiPath Apps, a low-code platform for building interactive applications, and cloud integration, enabling seamless connectivity between UiPath and cloud-based services. You will learn how to create custom UiPath applications, integrate cloud APIs, and leverage UiPath Automation Cloud for scalable automation solutions.

This final module is designed to reinforce everything learned throughout the course by applying UiPath automation to real-world business scenarios. You’ll work on end-to-end automation projects, analyze industry case studies, and implement best practices in RPA deployment and maintenance.

This final module focuses on the future of RPA and automation while guiding learners through a capstone project that integrates all the knowledge gained throughout the course. Learners will explore emerging AI-driven automation trends, hyperautomation, and UiPath’s future roadmap, followed by hands-on experience in building a real-world automation solution.