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Inteligencia artificial

proyecto final

Carlos Gershenson, Dra. Wendy Elizabeth Aguilar Martínez, David A. Rosenblueth, Stalin Muñoz Gutiérrez, Katya Rodríguez Vázquez, and Gibran Fuentes Pineda

En el proyecto culminante del programa especializado Introducción a la Inteligencia Artificial, los estudiantes aplicarán conceptos adquiridos durante el programa en un problema de su elección.

El proyecto involucrará el desarrollo de un programa de software y la escritura de un ensayo. Se extenderá por lo menos uno de los temas cubiertos en el programa especializado, realizando una implementación, comparándolo con otras técnicas y reportando los resultados en un ensayo. La evaluación será por pares.

Los objetivos del proyecto son:

En el proyecto culminante del programa especializado Introducción a la Inteligencia Artificial, los estudiantes aplicarán conceptos adquiridos durante el programa en un problema de su elección.

Los objetivos del proyecto son:

* Aplicar el conocimiento adquirido durante el programa especializado a un dominio particular.

* Implementar tecnología de IA con un propósito específico.

* Comparar la solución desarrollada con existentes.

* Reportar los resultados en un ensayo estructurado (máximo 10 páginas).

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What's inside

Syllabus

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Sets a baseline for beginners who have no knowledge of the subject

Provides theoretical and practical overview of IA fundamental concepts

Has machine learning and AI industry experts in the faculty

Requires preparatory knowledge for understanding the advanced topics

Needs extensive resources for execution of the final project

Instructors are experienced and knowledgeable in AI domain

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Reviews summary

Proyecto final de aplicación de ia

Según los estudiantes, este curso es un buen cierre para la especialización, ofreciendo la oportunidad clave de aplicar los conocimientos de IA adquiridos previamente en un proyecto práctico. Esta aplicación es vista como el principal valor del curso por muchos. Sin embargo, la evaluación por pares es señalada consistentemente como la parte más controversial y una fuente significativa de frustración. Los problemas reportados incluyen la subjetividad, la inconsistencia en las calificaciones y la falta de claridad en los criterios de evaluación. Algunos comentarios recientes sugieren que los criterios de evaluación podrían haber sido mejorados con el tiempo.

Comentarios recientes sugieren ajustes positivos.

"Han mejorado los criterios de evaluación por pares y hay más ejemplos, ahora es más justo."

"Notas más recientes indican que el sistema de evaluación ha sido ajustado."

"Parece que la retroalimentación ha llevado a mejoras en cómo se evalúa."

Permite aplicar y consolidar los conocimientos de IA.

"Excelente proyecto final. Me permitió aplicar todo lo aprendido de forma práctica."

"Gran forma de aplicar la IA en un proyecto real."

"El curso es una excelente oportunidad para llevar a la práctica los conceptos teóricos."

"Pude aplicar todos los conocimientos de los cursos anteriores en un solo proyecto."

Poco o nulo soporte en problemas con la evaluación.

"No hay apoyo del instructor o TAs si tienes problemas con una calificación injusta."

"Me sentí solo al intentar resolver disputas sobre las evaluaciones."

"La comunicación con el equipo del curso es limitada."

Proceso inconsistente y fuente principal de frustración.

"La evaluación por pares es muy subjetiva y poco consistente."

"Muy decepcionado con la evaluación por pares, parece que algunos no la toman en serio."

"La evaluación entre compañeros necesita una revisión urgente, es la parte más débil."

"Mi calificación final no refleja el trabajo que puse debido a las evaluaciones recibidas."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Inteligencia artificial: proyecto final with these activities:

Repasa conceptos de matemáticas relevantes para IA

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Asegúrate de tener una base sólida en matemáticas para comprender los conceptos de IA y seguir el curso eficazmente.

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Repasa conceptos de álgebra lineal como vectores, matrices y transformaciones.
Refresca tu comprensión de cálculo, particularmente derivadas e integrales.

Organiza y resume los materiales del curso

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Mejora tu retención y comprensión al organizar y resumir los materiales del curso, creando un recurso de estudio valioso.

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Toma notas durante las clases y lee las lecturas asignadas.
Resume las notas en un formato conciso y organizado.

Solve AI algorithm exercises

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Strengthens problem-solving skills and deepens understanding of AI algorithms through focused practice.

Browse courses on AI Algorithms

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Find online platforms or textbooks with AI algorithm exercises
Practice solving exercises regularly
Review solutions and analyze your approach

Four other activities

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Build a simple AI chatbot

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Provides hands-on experience with AI techniques and principles covered in this course.

Browse courses on AI

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Choose a chatbot platform and framework
Design the chatbot's conversation flow
Implement the chatbot's logic and responses
Test and evaluate the chatbot

Completa tutoriales sobre algoritmos específicos de IA

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Fortalece tu dominio de algoritmos específicos de IA completando tutoriales guiados y aplicándolos en ejemplos prácticos.

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Identifica algoritmos de IA relevantes para tu área de interés.
Encuentra tutoriales de alta calidad que cubran la implementación de estos algoritmos.
Sigue los tutoriales paso a paso y experimenta con diferentes parámetros.

Gather resources on AI applications

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Expands knowledge on the practical implications and use cases of AI beyond the theoretical concepts covered in this course.

Browse courses on AI

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Identify different industries and domains where AI is applied
Research and collect articles, case studies, and examples of AI applications
Organize and categorize the resources for easy reference

Contribuye a proyectos de código abierto relacionados con IA

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Amplía tu experiencia práctica y fortalece tu comprensión de las técnicas de IA contribuyendo a proyectos de código abierto.

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Identifica proyectos de IA de código abierto en GitHub u otras plataformas.
Lee la documentación y familiarízate con el código base.
Identifica áreas donde puedes contribuir con nuevas funciones o mejoras.

Career center

Learners who complete Inteligencia artificial: proyecto final will develop knowledge and skills that may be useful to these careers:

AI Researcher

AI Researchers study and develop new algorithms and techniques for artificial intelligence. AI Researchers use their knowledge to contribute to the field of AI and may use their findings to make advancements in other fields such as medicine, engineering, and finance. This course would be extremely useful to someone interested in becoming an AI Researcher as it helps to build a foundation for the skills and knowledge needed to succeed.

See salaries and explore the career path for AI Researcher

Artificial Intelligence Engineer

Artificial Intelligence Engineers must be well-equipped with knowledge of computer science, programming techniques, and artificial intelligence techniques. This course helps build a foundation for students that is needed in order to succeed in this role. Artificial Intelligence Engineers leverage this theoretical knowledge to lead the design and development of AI solutions. If you want to become an Artificial Intelligence Engineer, taking this course will help lay the foundation to pursue this path.

See salaries and explore the career path for Artificial Intelligence Engineer

AI Trainer

AI Trainers train and maintain AI models. In this course, learners will gain knowledge of how to develop, train, and test AI models, which will prepare them well for a career as an AI Trainer. This course may be a useful choice for someone interested in getting started as an AI Trainer and learning more about AI.

See salaries and explore the career path for AI Trainer

Data Scientist

Data Scientists must have a good understanding of computer science fundamentals and knowledge of how to present data in a way that non-experts can understand. This course will help build a foundation for students that is needed to succeed in this role. Data Scientists use this knowledge to gather, analyze, and present data in an understandable manner. If you want to become a Data Scientist, taking this course will help lay the foundation needed to pursue this path.

See salaries and explore the career path for Data Scientist

AI Architect

AI Architects design and build the infrastructure for AI systems. AI Architects may collaborate with other professionals to create and deploy AI systems, to automate processes and increase efficiency. This course would be useful for someone interested in becoming an AI Architect as it may help to build a foundation for this career path.

See salaries and explore the career path for AI Architect

AI Consultant

AI Consultants advise businesses on how to use AI to solve problems and achieve goals. The knowledge gained from this course, including an understanding of AI design and implementation, will be beneficial to someone seeking a career as an AI Consultant. By understanding the technical aspects of AI, AI Consultants can better advise their clients.

See salaries and explore the career path for AI Consultant

AI Product Manager

AI Product Managers are responsible for the development and launch of AI products. Someone who wants to become an AI Product Manager can benefit from the skills and knowledge learned in this course, including an understanding of AI design and implementation. By understanding the technical aspects, AI Product Managers can better manage the development of AI-based products.

See salaries and explore the career path for AI Product Manager

Computer Scientist

Computer Scientists design and develop hardware and software for use in a variety of fields. Students completing this course will learn some of the fundamentals of how AI is used, and how to implement AI into existing computer systems. If you are interested in becoming a Computer Scientist who specializes in AI, taking this course will provide a useful foundation.

See salaries and explore the career path for Computer Scientist

Machine Learning Engineer

Machine Learning Engineers develop and deploy self-learning systems. Through the course, learners will be able to execute advanced machine learning algorithms, and build and deploy machine learning models. This course may be useful for someone interested in becoming a Machine Learning Engineer.

See salaries and explore the career path for Machine Learning Engineer

Data Analyst

Data Analysts collect, clean, and analyze data to help businesses make better decisions. This course can help Data Analysts with data processing and learning how to transform data into a format that is useful for analysis. Completing the course can help build a foundation for those interested in pursuing a career as a Data Analyst.

See salaries and explore the career path for Data Analyst

Business Intelligence Analyst

Business Intelligence Analysts use data to help businesses make better decisions. This course may be useful to Business Intelligence Analysts as it will teach them how to gather, analyze, and present AI-powered data and findings to aid in decision-making.

See salaries and explore the career path for Business Intelligence Analyst

Software Engineer

Software Engineers use their knowledge of programming and mathematics to design and develop software. This course will help students learn how to implement some of these AI techniques and designs in software to automate processes and create efficient solutions. If you want to become a Software Engineer and work with AI applications, taking this course may be useful.

See salaries and explore the career path for Software Engineer

Quantitative Analyst

Quantitative Analysts use mathematical and statistical techniques to analyze data and make predictions. This course may be helpful to those interested in becoming a Quantitative Analyst as it helps to develop a foundation for applying AI techniques to analyze data and build models for prediction.

See salaries and explore the career path for Quantitative Analyst

AI Writer

AI Writers use AI to write text and create content. Taking this course may be useful for someone interested in becoming an AI Writer as it can help them to build a foundation for understanding AI techniques. This knowledge can be applied to their writing process to improve efficiency and quality.

See salaries and explore the career path for AI Writer

UX Designer

UX Designers design and evaluate user interfaces for websites and applications. This course may be helpful to UX Designers as it can help them to learn how to incorporate AI into user interfaces and interactions to improve the user experience.

See salaries and explore the career path for UX Designer

Reading list

We've selected 13 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Inteligencia artificial: proyecto final.

Principles of Artificial Intelligence

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Provides a comprehensive overview of the field of artificial intelligence, covering a wide range of topics from the history of AI to the latest advancements. It valuable resource for students who want to gain a deep understanding of the field and its applications.

Principles of Artificial Intelligence

Paperback

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Principles of Artificial Intelligence

Kindle Edition

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Inteligência artificial

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Este libro proporciona una visión general integral de los conceptos y técnicas de la inteligencia artificial, lo que lo convierte en un excelente recurso de fondo para el curso.

Inteligência artificial

Paperback

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Inteligência artificial

Kindle Edition

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ARTIFICIAL INTELLIGENCE

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Classic in the field of artificial intelligence, providing a comprehensive overview of the subject. It valuable resource for students who want to dive deeper into the foundational concepts of AI.

(English) Artificial Intelligence: A Modern Approach, Global...

Paperback

$$$

(English) Pearson Artificial Intelligence: A Modern Approach,...

Paperback

(English) Artificial Intelligence: A Modern Approach (Pearson...