Introduction to AI and technologies for process optimization at URJC (PTGAS)
Description
The course aims to provide a practical introduction to the world of Artificial Intelligence (AI) and, in particular, Process Optimization, with a focus on its application in the university context. Through seven modules, key concepts such as generative AI, large-scale language models, and process automation are presented, showcasing the potential of enabling technologies available at URJC, such as Power Platform, SharePoint, and Copilot. The course is designed to help participants identify opportunities for improvement in their daily work and understand the potential of these technologies without requiring any prior technical knowledge.
What you will learn
This course is designed to empower participants and help them incorporate current technologies and their capabilities into their daily work, thereby increasing their productivity and efficiency. The goal is for participants to understand the potential of available tools and be able to identify opportunities for improvement in their work by integrating available technology. The course will cover topics such as:
- Fundamentals of Artificial Intelligence and Generative AI
- Automation of tasks and processes with RPA
- Data analysis and visualization with Power BI
- Developing applications and automated workflows with Power Platform
- Using Copilot as an AI-based productivity assistant
Requirements
No prior knowledge is required. This is an introductory course, primarily designed to be informative, and aimed at anyone interested in learning about the potential of the practical use of current technologies, especially in the university setting.
Faculty
David Granada Mejía
Rey Juan Carlos University - Higher Technical School of Computer Engineering
A Computer Engineer from the University of Padua (Italy), with master's degrees in Information Technology and Decision Engineering, and a PhD in Information Systems Engineering from Rey Juan Carlos University. He has been a pre- and postdoctoral researcher at universities in Italy, Spain, Colombia, and Honduras. He is currently a tenured professor and researcher at Rey Juan Carlos University, with extensive professional, teaching, and research experience in Software Engineering.
Juan Manuel Vara Mesa
Rey Juan Carlos University - Higher Technical School of Computer Engineering
Professor at Rey Juan Carlos University. Computer Engineer, Master in Information Technology and Computer Systems, and PhD in Computer Engineering. ITIL, CMMI, and Scrum Master certifications. Pre-doctoral researcher at INRIA at the University of Nantes and post-doctoral researcher at ERISS (European Research Institute on Service Science) at Tilburg University.
Director of the Master's Degree in Information Systems Engineering and Coordinator of the research line in Software Engineering, Information Systems and Services of the Doctoral program in ICT of said University.
Frequently Asked Questions
What type of audience might be interested in taking this course?
Any PTGAS (Technical and Gas Production Unit) at URJC (Rey Juan Carlos University) interested in improving its productivity and learning about the potential of current technologies.
What am I going to learn?
You will learn what AI is and what tools you can use to optimize tasks and processes.
What can it be used for?
To work more efficiently, automate repetitive tasks and take advantage of the digital tools available to us today, especially in the context of the URJC.
What certification do I get if I complete it?
You can download your course completion certificate free of charge once you have completed all the required course activities. The certificate will confirm your successful completion of the course and will include the total number of hours.
How can I register?
To enroll in this course, simply log in or create your account and then click on the Start.
Which browsers are compatible with a URJCx course?
Current versions of Chrome, Firefox, Safari, or Internet Explorer version 9 or higher.
What happens if I have to drop out of a course? Will I be able to re-enroll in a future edition of the same course and/or another course in the future?
Enrollment and participation in a URJC course is free. There are absolutely no academic penalties for dropping out. You can enroll in the same course and/or others (as long as they are still being offered) at a later time.
When does my course start and end?
This course is designed to be self-paced. There's no need to start at a specific time, although a learning pace of one topic per week is recommended.
How do I pass the course?
At the end of the course you will be assessed with a test on the basic concepts learned.
- 8 Sections
- 20 Lessons
- 6 Hours
- 1. Motivation and Context3
- 2. Introduction to Power Platform2
- 3. SharePoint3
- 4. Power BI3
- 5. Power Automate3
- 6. Power Apps3
- 7. Copilot3
- 8. Additional resources and next steps0
Courses that might interest you
Don't miss a thing
Subscribe to the newsletter
Receive information about new courses and news