IIQMC UiPath Certified Professional Automation Developer Associate
UiPath Automation Course – Beginner to Advanced
Course Overview:
Unlock the power of Robotic Process Automation (RPA) with UiPath, the industry-leading automation platform. This comprehensive Beginner to Advanced UiPath Automation Course on IIQMC is designed to equip learners with the skills required to automate business processes efficiently using UiPath. Whether you are a beginner exploring RPA for the first time or an experienced professional looking to master advanced automation techniques, this course provides a structured, hands-on learning experience.
What You Will Learn:
✅ Fundamentals of RPA and UiPath Studio
✅ UI Automation and Selector-based automation
✅ Excel, Email, and File Handling automation
✅ Advanced Data Manipulation & API Integration
✅ Orchestrator and Robot Management for enterprise automation
✅ Best practices for error handling and debugging
✅ AI and Machine Learning in UiPath
✅ Hands-on projects & real-world case studies
Who Should Enroll?
💡 Beginners looking to start a career in RPA
💡 Business professionals & analysts wanting to automate repetitive tasks
💡 IT professionals & developers seeking to enhance automation skills
💡 Students & job seekers aiming for UiPath certification and career growth
Why Choose This Course?
✅ Structured learning from basic to advanced levels
✅ Real-world projects to enhance practical skills
✅ Industry-relevant curriculum aligned with UiPath best practices
✅ Certification preparation for UiPath RPA Developer exams
Join us on this transformative learning journey and become a UiPath automation expert! 🚀
Final Thoughts
This course is designed to provide hands-on experience with UiPath automation, equipping learners with the skills needed for real-world applications and certifications. By the end of the course, students will be able to develop and deploy robust RPA solutions using UiPath.
Let’s automate the future with UiPath! 🚀
Curriculum
- 15 Sections
- 99 Lessons
- 40 Weeks
- Module 1: Introduction to UiPath & RPAThis 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.6
- Module 2: UiPath Studio OverviewThis 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.7
- Module 3: Recording & UI AutomationThis module covers UiPath’s recording capabilities and UI automation techniques, enabling learners to automate user interactions with desktop and web applications efficiently.7
- Module 4: Control Flow & Exception HandlingThis 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.7
- Module 5: Data Manipulation & Excel AutomationThis 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.7
- Module 6: PDF & Email AutomationThis 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.6
- Module 7: Database AutomationThis 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.7
- Module 8: UiPath Orchestrator & Bot DeploymentThis 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.8
- 8.18.1 Introduction to UiPath Orchestrator
- 8.28.2 Setting Up UiPath Orchestrator
- 8.38.3 Publishing & Deploying Bots in Orchestrator
- 8.48.4 Managing Queues & Transactions
- 8.58.5 Managing Assets & Secure Credential Storage
- 8.68.6 Logging, Monitoring & Audit in Orchestrator
- 8.78.7 UiPath Assistant & Attended Automation
- 8.88.8 Hands-on Exercises
- Module 9: Module 9: REFramework & Scalable AutomationObjective: 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.7
- 9.19.1 Introduction to REFramework
- 9.29.2 Exploring REFramework Components
- 9.39.3 Implementing REFramework in UiPath
- 9.49.4 Exception Handling in REFramework
- 9.59.5 Orchestrator Integration with REFramework
- 9.69.6 Hands-on Exercise: Building an End-to-End REFramework Bot
- 9.79.7 Optimizing REFramework for Real-World Applications
- Module 10: Advanced Development & Best PracticesThis module focuses on refining your UiPath automation skills with advanced development techniques and best practices for building scalable, maintainable, and efficient automation solutions.7
- Module 11: Cognitive Automation & AI in UiPathThis module explores how UiPath integrates with Artificial Intelligence (AI) and cognitive automation technologies to build intelligent, self-learning bots that can handle unstructured data, make decisions, and interact with humans more naturally.8
- 11.111.1 Introduction to Cognitive Automation
- 11.211.2 UiPath AI Center & AI Fabric
- 11.311.3 Natural Language Processing (NLP) with UiPath
- 11.411.4 Document Understanding & Intelligent OCR
- 11.511.5 Computer Vision in UiPath
- 11.611.6 Machine Learning & Predictive Automation
- 11.711.7 Chatbots & Conversational AI with UiPath
- 11.811.8 Hands-on Exercises
- Module 12: Agentic Automation in UiPathThis 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.8
- 12.112.1 Understanding Agentic Automation
- 12.212.2 AI-Powered Decision Making in UiPath
- 12.312.3 Large Language Models (LLMs) and RPA
- 12.412.4 Self-Healing Bots & Adaptive Automation
- 12.512.5 Autonomous Agents & Multi-Agent Systems in UiPath
- 12.612.6 Human-in-the-Loop Automation (HITL) with AI
- 12.712.7 Future of Agentic Automation in UiPath
- 12.812.8 Hands-on Exercises
- Module 13: UiPath Apps & Integration with CloudThis 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.9
- 13.113.1 Introduction to UiPath Apps
- 13.213.2 Building Custom UiPath Apps
- 13.313.3 Cloud Integration & API Connectivity
- 13.413.4 UiPath Integration with Cloud Platforms
- 13.513.5 Working with UiPath Automation Cloud
- 13.613.6 UiPath Data Service & Cloud Storage
- 13.713.7 Cloud Security & Compliance in UiPath
- 13.813.8 Advanced Cloud Integrations
- 13.913.9 Hands-on Exercises
- Module 14: Real-World Projects & Case StudiesThis 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.5
- Module 15: Future Trends & Capstone ProjectThis 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.4
