Inteligencia artificial: proyecto final
This course is part of Introducción a la inteligencia artificial.
This capstone project for the Introduction to Artificial Intelligence specialization allows students to apply concepts learned throughout the program to a problem of their choice. The project involves developing software that implements AI technology and writing a structured essay reporting the results. Students will extend at least one of the topics covered in the specialization, compare their implementation with existing techniques, and document their findings. The course provides an opportunity to demonstrate practical AI skills while receiving peer feedback on both the implementation and written report. Ideal for intermediate learners wanting to solidify their AI knowledge through hands-on application.
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What you'll learn
Apply AI knowledge to solve a specific problem in a domain of your choice
Implement AI technology with a clear purpose and practical application
Compare your solution with existing techniques and technologies
Evaluate the effectiveness of your AI implementation
Document your findings in a structured technical essay
Receive and provide valuable peer feedback
Skills you'll gain
This course includes:
14 Minutes PreRecorded video
1 peer review
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
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There is 1 module in this course
In this final capstone project for the Introduction to Artificial Intelligence specialization, students will apply the knowledge gained throughout the program to solve a real-world problem of their choice. The module guides students through the entire project lifecycle, from selecting an appropriate AI topic to implementing a functional solution and documenting the results. Students will develop a software program implementing AI technology and write a structured essay (maximum 10 pages) comparing their solution with existing techniques. The peer-reviewed project requires students to demonstrate their understanding of AI concepts while gaining practical experience in application development and technical writing.
Proyecto Final
Module 1 · 24 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Introducción a la inteligencia artificial
Instructors
Complex Systems Expert and Self-Organization Specialist
Dr. Carlos Gershenson serves as a SUNY Empire Innovation Professor at Binghamton University and President of the Complex Systems Society (2024-2027). Previously, he was a research professor at UNAM's Institute for Applied Mathematics and Systems Research (IIMAS), where he led the Self-Organizing Systems Laboratory. His academic credentials include a Ph.D. in Sciences (summa cum laude) from the Free University of Brussels, focusing on self-organizing systems, a Master's in Evolutionary and Adaptive Systems from the University of Sussex, and a Computer Engineering degree from the Arturo Rosenblueth Foundation
Instructor
Dra. Wendy Elizabeth Aguilar Martínez is a researcher in the Department of Computer Science at the Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas (IIMAS) of the Universidad Nacional Autónoma de México (UNAM). She holds a Ph.D. in Computer Science from UNAM and focuses her research primarily on computational creativity, developmental robotics, and pattern recognition. Aguilar Martínez teaches the course "Creatividad Computacional" in the Postgraduate Program in Computer Science and Engineering at UNAM. On Coursera, she instructs courses such as "Creatividad computacional" and "Inteligencia artificial: proyecto final," leveraging her expertise in AI and related fields to guide learners through these topics. Her work is recognized internationally, with significant contributions to artificial intelligence, computational creativity, and developmental robotics
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Frequently asked questions
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