To ensure a successful learning experience in the WB504G: Automating Tasks with IBM Robotic Process Automation 20.12.5 course, participants should meet the following minimum prerequisites:
- Basic understanding of software automation concepts and technologies
- Familiarity with the Windows operating system environment, including file system navigation and management
- Some experience with any programming or scripting language (e.g., JavaScript, Python, VBScript) is helpful but not mandatory
- Knowledge of web technologies (HTML, CSS) is beneficial for web automation modules
- An understanding of common business processes and workflows can enhance comprehension of automation use cases
- Ability to use email clients and understand email handling for the email automation section
These prerequisites are intended to provide a foundation for the material covered in the course and are not meant to be barriers to entry. The course is designed to accommodate learners with varying levels of technical expertise, and instructors will guide participants through the concepts and practical applications of IBM Robotic Process Automation.
Target Audience for Course WB504G : Automating Tasks with IBM Robotic Process Automation 20.12.5
The course WB504G trains individuals on IBM Robotic Process Automation (RPA) for automating digital tasks, ideal for IT professionals and process managers.
Target Audience for Course WB504G:
- IT Professionals seeking to implement RPA solutions
- Process Managers looking to streamline operations
- Business Analysts interested in process automation
- Software Developers looking to expand their skill set into RPA
- Quality Assurance Engineers aiming to automate testing processes
- Project Managers overseeing automation projects
- Operations Executives exploring cost-cutting via automation
- Technical Support Staff who maintain and troubleshoot RPA implementations
- RPA Consultants providing strategic advice on automation
- Business Process Outsourcing Professionals looking to add RPA to their services
- Data Analysts requiring automation for repetitive tasks
- System Integrators integrating RPA into existing IT landscapes
- Enterprise Architects designing systems with RPA components
- Digital Transformation Specialists driving innovation through automation
- AI and Machine Learning Enthusiasts interested in RPA's role in AI implementation
Learning Objectives - What you will Learn in this Course WB504G : Automating Tasks with IBM Robotic Process Automation 20.12.5?
Introduction to the Course's Learning Outcomes
In the WB504G course, participants will learn to automate routine tasks using IBM Robotic Process Automation (RPA) 20.12.5, with an emphasis on bot creation, web automation, error handling, and integrating machine learning.
Learning Objectives and Outcomes
- Gain proficiency in creating simple bots for automating daily tasks, thereby understanding the core capabilities of IBM RPA.
- Develop the skills to automate file management, which includes file sorting, renaming, and transferring using RPA Studio.
- Learn the principles of web automation, enabling the development of bots that can interact with web elements and automate web-based processes.
- Acquire the ability to handle errors within automated tasks to increase bot resilience and reliability in different scenarios.
- Understand how to automate email processes, such as sending, receiving, and sorting emails, enhancing efficiency in communication management.
- Learn how to publish and run scripts, which facilitates the sharing and deployment of RPA solutions across different environments.
- Master the orchestration of multiple bots, ensuring coordinated task execution and optimizing workflow efficiency.
- Develop competencies in creating workflows, which is crucial for designing complex automation involving multiple steps and decisions.
- Get hands-on experience with the RPA Studio recorder and computer vision for automating tasks that require visual recognition and interaction.
- Learn document scraping techniques for extracting information from documents and automating OCR data extraction from image files to streamline data processing tasks.
