Robotics Process Automation (RPA) with UiPath/Automation Anywhere is a comprehensive, career-ready course designed to train learners in building, deploying, and managing software robots that automate repetitive and rule-based business processes. The course begins with an overview of RPA, explaining its value in reducing human effort, minimizing errors, improving compliance, and increasing operational efficiency across various industries including banking, healthcare, insurance, retail, and manufacturing. Learners explore the RPA lifecycle—identification, design, development, testing, deployment, and monitoring—understanding how to evaluate processes for automation feasibility and ROI. The course introduces two of the most widely used RPA platforms: UiPath and Automation Anywhere. In UiPath, learners work with Studio, Orchestrator, and Robots to build attended and unattended bots. They use drag-and-drop components, workflows, control structures, data scraping, screen scraping, and advanced selectors to automate web applications, desktop programs, and enterprise software like SAP or Salesforce. Learners explore UiPath REFramework for scalable, resilient automation and build use cases involving invoice processing, email parsing, form filling, and document classification. In Automation Anywhere, students use the A360 platform to design bots using bot creator, recorder, and bot insights. They perform tasks like Excel automation, PDF parsing, credential vault management, and API integrations. Hands-on labs include end-to-end business scenarios such as processing HR onboarding, order management, and helpdesk ticket resolution. Learners gain experience with cognitive automation by integrating OCR (Optical Character Recognition) technologies like Google Vision, ABBYY, and Tesseract for reading scanned documents and images. Natural Language Processing (NLP) capabilities are explored to extract entities from unstructured text using AI-powered bots. The course covers exception handling, logging, retries, and auditing to ensure bots perform reliably in production. Learners integrate bots with queues, triggers, and schedulers to handle high-volume tasks. Version control, modular bot design, and reusable libraries are emphasized to promote maintainability and scalability. Governance and compliance are discussed through role-based access control, bot access auditing, credential encryption, and regulatory adherence in sectors governed by standards like SOX, HIPAA, and GDPR. Learners use analytics dashboards to monitor bot health, usage trends, and performance metrics in real time. The course also introduces hyperautomation—combining RPA with AI/ML, business process management (BPM), and low-code platforms to create intelligent digital workers. Learners explore integrating chatbots with RPA, leveraging tools like Power Automate, Dialogflow, or Microsoft Bot Framework. Deployment strategies in on-premises, hybrid, and cloud-native environments are covered, along with DevOps practices using Git, Jenkins, and CI/CD pipelines. Best practices in documentation, testing, and governance frameworks like COE (Center of Excellence) models are discussed to institutionalize RPA in large organizations. By the end of the course, students will have created multiple bots that automate real-world workflows, gained proficiency in both UiPath and Automation Anywhere platforms, and developed an automation portfolio showcasing use cases across industries. They will be prepared to work as RPA developers, analysts, solution architects, or automation consultants, contributing to digital transformation initiatives and leading organizations toward greater agility, efficiency, and cost savings through intelligent automation.