Career Path - RPA and Automation Engineer
Become an Automation Engineer or RPA Developer. Automate & optimize the organization's business processes. Design, develop, implement software robots.Preview Career Path - RPA and Automation Engineer course
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This is Career Path program by Uplatz on RPA and Automation Engineer.
Robotic Process Automation (RPA) and Automation Engineering are two fields that are becoming increasingly important in today's rapidly changing workplace. An RPA engineer is responsible for automating business processes using RPA software tools, while an automation engineer is responsible for designing, developing, and implementing automation solutions across various industries.
Here are the steps you can take to build a career in RPA and Automation Engineering:
1) Education: A bachelor's degree in computer science, software engineering, or a related field is typically required for entry-level positions. However, some companies may accept candidates with relevant work experience or certifications.
2) Technical skills: In addition to a degree, you will need to have strong programming skills in languages like Java, Python, or C#. You should also be proficient in RPA tools like UiPath, Automation Anywhere, or Blue Prism. Familiarity with databases and SQL is also important.
3) Certifications: There are various certifications available for RPA and automation engineering professionals. For example, UiPath offers RPA Developer Advanced Certification, and Blue Prism offers Blue Prism Developer Certification.
4) Work experience: Internships or entry-level positions in IT or software development can provide valuable work experience that can help you transition into RPA or automation engineering.
5) Continuing education: Stay up-to-date with the latest advancements in RPA and automation by attending workshops, conferences, or taking online courses.
6) Soft skills: Effective communication, problem-solving, and project management skills are also important for RPA and automation engineers. You will need to work closely with business users to understand their needs and translate them into technical solutions.
7) Industry-specific knowledge: While RPA and automation skills are valuable across industries, having knowledge of specific industries like finance, healthcare, or manufacturing can be an added advantage. This knowledge can help you understand the specific needs and challenges of the industry and create customized automation solutions.
8) Specialization: As you gain experience and expertise, you can consider specializing in a specific area of RPA or automation. For example, you can specialize in cognitive automation or machine learning.
9) Leadership roles: With experience and expertise, you can progress to leadership roles like RPA Manager, Automation Lead, or Director of Automation. These roles involve managing teams, setting automation strategies, and ensuring that automation solutions align with business goals.
In summary, a career in RPA and Automation Engineering requires technical skills, certifications, work experience, and continuing education. Soft skills like communication and problem-solving are also important. The career path can lead to various roles and specializations, including leadership roles. The demand for automation solutions is increasing, and there are plenty of opportunities for those who have the right skills and experience.
Career paths in RPA and Automation Engineering can lead to roles such as RPA Developer, Automation Engineer, RPA Consultant, or RPA Architect. Salaries for these roles can vary based on experience, certifications, and location. However, as the demand for automation in the workplace continues to grow, there will be plenty of opportunities for those who have the right skills and experience.
Course/Topic 1 - ServiceNow - all lectures
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Lecture 1 - Overview and How to get started with ServiceNow
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Lecture 2 - ServiceNow Platform overview
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Lecture 3 - Lists and Guided Setup Overview
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Lecture 4 - Form Design - Layout - Physical Taskboard
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Lecture 5 - Form Templates and Tasks
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Lecture 6 - Notifications and Inbound Actions
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Lecture 7 - Reports Dashboards and Performance Analytics
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Lecture 8 - Knowledge Management and Performance Analytics
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Lecture 9 - Service Catalogue - Order Guides - Report Producer
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Lecture 10 - Flow Designer - Instance Stats - Events
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Lecture 11 - Data Schema Overview
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Lecture 12 - Access Control - Importing Data - Transform Map
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Lecture 13 - Configuration Management Database (CMDB)
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Lecture 14 - CMDB - Discovery - Service Mapping - Platform Scripting
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Lecture 15 - Platform Scripting and Client Server Side Scripting
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Lecture 16 - Migration - Integration - Upgrade
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Lecture 17 - Custom Applications - Virtual Agent - Mobile Apps
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Lecture 18 - ITIL ITSM overview
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Lecture 19 - ITSM - Incident - Problem - Change
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Lecture 20 - Mock Questions - Next Steps - Certification Path
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Lecture 21 - ServiceNow Examination overview
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Lecture 22 - ServiceNow Exam - Theoretical Concepts
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Lecture 23 - ServiceNow Mock Questions Series
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Lecture 24 - ServiceNow Interview Questions - part 1
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Lecture 25 - ServiceNow Interview Questions - part 2
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Lecture 26 - ServiceNow Interview Questions - part 3