❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [May 17th, 2023]

This Blue Prism Foundation Training course provides a comprehensive introduction to all of the key concepts and activities associated with configuring a Blue Prism Process Solution. It is designed to help learners gain the skills and knowledge needed to build, test, publish and manage a Blue Prism process automation. With this course, learners can benefit from a comprehensive learning experience, with instructions for each week in the form of video demos and activity sheets, as well as an extended exercise for consolidating their skills and signposting to further learning. Subtitles are available in English, Japanese, Simplified Chinese, Russian, Spanish, French, Portuguese and German.

Course Overview: This course provides a comprehensive introduction to all of the key concepts and activities associated with configuring a Blue Prism Process Solution. It is designed to help learners gain the skills and knowledge needed to build, test, publish and manage a Blue Prism process automation.

Possible Development Directions: Learners can benefit from a comprehensive learning experience, with instructions for each week in the form of video demos and activity sheets, as well as an extended exercise for consolidating their skills and signposting to further learning. Subtitles are available in English, Japanese, Simplified Chinese, Russian, Spanish, French, Portuguese and German.

Related Learning Suggestions: Learners can further their knowledge by exploring the Blue Prism Developer Certification Program, which provides a comprehensive set of resources to help them become certified Blue Prism Developers. They can also take advantage of the Blue Prism Community, which provides a platform for users to share their experiences and best practices.

[Applications]
Upon completion of this course, learners can apply their knowledge of Blue Prism to build, test, publish and manage process automations. They can also use the skills they have acquired to pursue further learning and certification in the field of robotic process automation.

[Career Paths]
Recommended career paths for learners of this course include:

1. Robotic Process Automation (RPA) Developer: RPA Developers are responsible for designing, developing, and deploying robotic process automation solutions. They must have a strong understanding of the Blue Prism platform and be able to create and maintain automated processes. As the demand for RPA solutions continues to grow, the need for experienced RPA Developers is expected to increase.

2. Business Process Analyst: Business Process Analysts are responsible for analyzing and optimizing business processes. They must have a strong understanding of the Blue Prism platform and be able to identify areas of improvement and develop solutions to improve efficiency. As businesses continue to look for ways to streamline their processes, the demand for Business Process Analysts is expected to grow.

3. Automation Engineer: Automation Engineers are responsible for designing, developing, and deploying automated solutions. They must have a strong understanding of the Blue Prism platform and be able to create and maintain automated processes. As businesses continue to look for ways to automate their processes, the demand for Automation Engineers is expected to increase.

4. Intelligent Automation Consultant: Intelligent Automation Consultants are responsible for providing advice and guidance on the implementation of intelligent automation solutions. They must have a strong understanding of the Blue Prism platform and be able to identify areas of improvement and develop solutions to improve efficiency. As businesses continue to look for ways to leverage intelligent automation, the demand for Intelligent Automation Consultants is expected to grow.

[Education Paths]
Recommended degree paths for learners of this course include:

1. Bachelor of Science in Computer Science: This degree path provides learners with a comprehensive understanding of computer science fundamentals, including programming, software engineering, and computer architecture. It also covers topics such as artificial intelligence, machine learning, and robotics. This degree path is ideal for those looking to pursue a career in software development, robotics, or automation.

2. Master of Science in Robotics: This degree path provides learners with an in-depth understanding of robotics and automation. It covers topics such as robotics engineering, artificial intelligence, machine learning, and computer vision. This degree path is ideal for those looking to pursue a career in robotics engineering, automation, or artificial intelligence.

3. Master of Science in Artificial Intelligence: This degree path provides learners with an in-depth understanding of artificial intelligence and its applications. It covers topics such as machine learning, natural language processing, computer vision, and robotics. This degree path is ideal for those looking to pursue a career in artificial intelligence, machine learning, or robotics.

The development trends for these degree paths include the increasing use of automation and robotics in the workplace, as well as the development of more sophisticated artificial intelligence algorithms. Additionally, the use of machine learning and natural language processing is becoming more widespread, as these technologies are used to automate more complex tasks.