Coursera
Títulos de grado en líneaBuscar carrerasPara EmpresasPara universidades
  • Explorar
  • Principales cursos
  • Inicia Sesión
  • Únete de forma gratuita
    Coursera
    • Explorar
    • Artificial Intelligence

    Filtrar por

    1415 resultados para "artificial intelligence"

    • University of London

      University of London

      Machine Learning for All

      Habilidades que obtendrás: Machine Learning

      4.7

      (2.9k reseñas)

      Beginner · Course

    • Alberta Machine Intelligence Institute

      Alberta Machine Intelligence Institute

      Machine Learning: Algorithms in the Real World

      Habilidades que obtendrás: Advertising, Algebra, Analysis, Business Analysis, Communication, Computer Programming, Data Analysis, Data Architecture, Data Management, Data Mining, Linear Algebra, Machine Learning, Machine Learning Algorithms, Marketing, Mathematical Optimization, Mathematical Theory & Analysis, Mathematics, Modeling, Operations Management, Probability & Statistics, Python Programming, Reinforcement Learning, Statistical Programming, Strategy and Operations, Theoretical Computer Science

      4.6

      (991 reseñas)

      Intermediate · Specialization

    • Coursera Project Network

      Coursera Project Network

      Life Expectancy Prediction Using Machine Learning

      Habilidades que obtendrás: Machine Learning

      4.5

      (6 reseñas)

      Beginner · Guided Project

    • IBM

      IBM

      Machine Learning Introduction for Everyone

      Habilidades que obtendrás: Machine Learning

      4.6

      (21 reseñas)

      Beginner · Course

    • University of London

      University of London

      Bachelor of Science in Computer Science

      Habilidades que obtendrás: Programming Principles, Algorithms, Other Programming Languages, Statistical Programming, Python Programming, Computational Logic, Computational Thinking, Web Design, C Programming Language Family, Agile Software Development, Computer Programming, Software Testing, Computer Networking, Full-Stack Web Development, Mathematics, User Experience, Combinatorics, Linear Algebra, Calculus, Mathematical Theory & Analysis, Software Engineering, Javascript, Machine Learning, General Statistics, Computer Graphics, Product Design, Web Development, HTML and CSS, Theoretical Computer Science

      Obtener un título de grado

      Degree

    • DeepLearning.AI

      DeepLearning.AI

      DeepLearning.AI TensorFlow Developer

      Habilidades que obtendrás: Applied Machine Learning, Artificial Neural Networks, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Convolutional Neural Network, Deep Learning, Forecasting, General Statistics, Language, Machine Learning, Machine Learning Algorithms, Natural Language, Natural Language Processing, Probability & Statistics, Programming Principles, Python Programming, Statistical Machine Learning, Statistical Programming, Tensorflow

      4.7

      (21.9k reseñas)

      Intermediate · Professional Certificate

    • Placeholder
      Microsoft

      Microsoft

      Microsoft Azure AI Fundamentals AI-900 Exam Prep

      Habilidades que obtendrás: Algorithms, Cloud Computing, Communication, Computer Graphics, Computer Vision, General Statistics, Human Computer Interaction, Interactive Design, Language, Machine Learning, Marketing, Microsoft Azure, Natural Language, Natural Language Processing, Object Detection, Probability & Statistics, Process, Regression, Speech, Theoretical Computer Science

      4.7

      (278 reseñas)

      Beginner · Specialization

    • Placeholder
      Duke University

      Duke University

      Introduction to Machine Learning

      Habilidades que obtendrás: Machine Learning Algorithms, Computer Vision, General Statistics, Supply Chain, Theoretical Computer Science, Deep Learning, Natural Language Processing, Convolutional Neural Network, Regression, Algorithms, Logistic Regression, Probability & Statistics, Artificial Neural Networks, Machine Learning

      4.7

      (3k reseñas)

      Intermediate · Course

    • Placeholder
      University of Colorado Boulder

      University of Colorado Boulder

      Machine Learning: Theory and Hands-on Practice with Python

      Habilidades que obtendrás: Applied Machine Learning, Artificial Neural Networks, Data Management, Data Structures, Deep Learning, Graph Theory, Leadership and Management, Machine Learning, Mathematics, Reinforcement Learning, Theoretical Computer Science

      3.1

      (11 reseñas)

      Intermediate · Specialization

    • Placeholder
      Google Cloud

      Google Cloud

      Preparing for Google Cloud Certification: Machine Learning Engineer

      Habilidades que obtendrás: Agile Software Development, Algorithms, Applied Machine Learning, Artificial Neural Networks, Bayesian Statistics, Big Data, Business Psychology, Cloud API, Cloud Computing, Cloud Storage, Computational Thinking, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Data Analysis, Data Management, Data Model, Data Structures, Databases, Deep Learning, DevOps, Distributed Computing Architecture, Econometrics, Entrepreneurship, Extract, Transform, Load, Feature Engineering, Full-Stack Web Development, General Statistics, Geostatistics, Google Cloud Platform, Hardware Design, Kubernetes, Machine Learning, Machine Learning Algorithms, Network Security, Performance Management, Probability & Statistics, Python Programming, Regression, Security Engineering, Security Strategy, Software Architecture, Software Engineering, Statistical Machine Learning, Statistical Programming, Strategy and Operations, Tensorflow, Theoretical Computer Science, Web Development

      4.6

      (24k reseñas)

      Intermediate · Professional Certificate

    • Placeholder
      EDHEC Business School

      EDHEC Business School

      Investment Management with Python and Machine Learning

      Habilidades que obtendrás: Accounting, Business Analysis, Communication, Computer Programming, Data Analysis, Data Mining, Finance, Financial Analysis, General Statistics, Investment Management, Machine Learning, Machine Learning Algorithms, Marketing, Markov Model, Mathematics, Natural Language Processing, Probability & Statistics, Probability Distribution, Programming Principles, Python Programming, Risk Management, Statistical Programming, Supply Chain and Logistics, Theoretical Computer Science

      4.6

      (1.5k reseñas)

      Beginner · Specialization

    • Placeholder
      LearnQuest

      LearnQuest

      Machine Learning for Supply Chains

      Habilidades que obtendrás: Artificial Neural Networks, Computer Programming, Data Management, Forecasting, General Statistics, Machine Learning, Probability & Statistics, Python Programming, Statistical Programming

      3.2

      (33 reseñas)

      Intermediate · Specialization

    Búsquedas relacionadas con artificial intelligence

    artificial intelligence in healthcare
    artificial intelligence in marketing
    artificial intelligence (ai) education for teachers
    artificial intelligence: an overview
    artificial intelligence algorithms models and limitations
    artificial intelligence on microsoft azure
    artificial intelligence for breast cancer detection
    artificial intelligence and legal issues
    1234…84

    En síntesis, estos son los 10 cursos más populares artificial intelligence

    • Machine Learning for All: University of London
    • Machine Learning: Algorithms in the Real World: Alberta Machine Intelligence Institute
    • Life Expectancy Prediction Using Machine Learning: Coursera Project Network
    • Machine Learning Introduction for Everyone: IBM
    • Bachelor of Science in Computer Science: University of London
    • DeepLearning.AI TensorFlow Developer: DeepLearning.AI
    • Microsoft Azure AI Fundamentals AI-900 Exam Prep: Microsoft
    • Introduction to Machine Learning: Duke University
    • Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder
    • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud

    Preguntas frecuentes sobre Inteligencia artificial

    • Artificial intelligence (AI) is a fast-growing branch of computer science focused on enabling computers to perform a wide range of tasks that previously required human intelligence. Today, AI is used to power a wide range of tasks, such as image recognition, language translation, and prioritization of email or business workflows. So, if you have a smartphone, chances are you use software with AI capabilities every day.

      AI is often discussed in tandem with the closely related concept of machine learning. Machine learning is the use of step-by-step processes called algorithms to allow computers to solve problems on their own - and, over time, get steadily better at doing so. Well-designed machine learning algorithms give computers the ability to solve a wide range of problems much more effectively and flexibly than if programmers had to provide detailed instructions for one specific use case.

      While machine learning is used to create many simple AI applications, this approach typically requires massive, clearly-defined datasets to properly “train” the program. To create more sophisticated AI applications, an advanced type of machine learning called deep learning is used. Deep learning uses artificial neural networks that, as its name implies, are patterned after the human brain and do not require such structured datasets and human guidance to be successful. Instead, the AI application can be fed diverse, unstructured datasets and learn itself how to achieve a specified goal.

      Even today’s most powerful deep learning approaches are not capable of mimicking the complexity and creativity of the human brain and its tens of billions of neurons. However, the field of artificial intelligence has made incredible strides in recent years, and is changing the way we live and work in ways that would have seemed outlandish a decade ago. Who knows what the next decade of progress in this exciting field will yield? Students learning skills in this area today may end up producing even more radical breakthroughs.‎

    • As artificial intelligence (AI) touches more and more areas of our daily lives, it is becoming useful to more and more career paths. Indeed, at least some background in this field is required for a growing number of jobs, and it can help give you a significant advantage over the competition in many others.

      Naturally, AI and its subfields are in very high demand for popular computer science jobs. Data scientists rely on machine learning and deep learning skills in their daily work, applying various data mining techniques to both structured and unstructured big data in order to produce valuable insights for a wide variety of businesses. Skills in natural language processing (NLP) are needed to create useful chatbots for customer service as well as voice-activated assistants like Amazon’s Alexa. And advanced AI skills can put you on the cutting edge of computer programming, working on teams seeking to achieve ambitious goals like self-driving cars or autonomous robots.

      A background in AI can help you in more and more jobs outside the realm of computer science, as well - it’s not much of an exaggeration to say that if a job requires human intelligence to do, artificial intelligence can help.

      For example, a familiarity with machine learning can help business analysts understand and use sophisticated tools for predicting movements in the market - or develop these tools themselves. Doctors and other healthcare professionals are leveraging AI to assist with diagnosing illnesses, prescribing treatments, and analyzing medical data. Even creative professionals in visual arts and music can take advantage of AI tools to help them generate images and melodies.‎

    • Coursera offers online courses in an incredibly wide range of computer science topics, and artificial intelligence is no exception. If you’re a computer science student interested in this fast-growing field, online courses can give you an introduction to AI and machine learning, or help you hone your Python skills for data science. More advanced learners can dive deep, with courses and Specializations in AI engineering and deep learning. Even non-computer scientists can benefit from courses geared towards their field, such as the use of machine learning for trading and other business professionals.

      Whatever your level of expertise and area of interest, online courses let you learn remotely on a flexible schedule and, typically, a lower cost than on-campus alternatives. And thanks to Coursera’s partnerships with top-ranked schools like Stanford University and Imperial College London, as well as industry leaders like IBM and Google Cloud, students can get all the advantages of online learning while still getting a high-quality education in this exciting field.‎

    • The skills or experience you may need to have before learning artificial intelligence (AI) includes having a solid knowledge of math, science, and computer science, specifically data science. You may want to have experience with advanced math, such as calculus and algebra, Bayesian algorithms, plus probability and statistics. In addition, a science background may be good to have for learning AI, including an understanding of physics, mechanics, cognitive learning theory, and language processing. It will also help to have a good command of computer science, including programming languages and tools such as Python, C++, and Java. Understanding the basic foundations of machine learning, deep learning, and neural networks may also be helpful to you before learning AI. If you already have some experience in software development, automotive manufacturing, and aerospace manufacturing fields, you may already have some necessary understanding of the way AI is applied in these industries.‎

    • The kind of people who are best suited for roles in AI are interested in highly scientific concepts and tools. People well suited to work in roles in AI feel comfortable experimenting with advanced technologies and concepts, such as machine learning, a part of AI that has given the world self-driving cars, for example. They also feel energized working with sophisticated pieces of software that can make decisions by analyzing data. In addition, the type of people well suited to work in roles in AI may want to learn to have the ability to build sophisticated pieces of equipment, such as robotics, which operate on internal software.‎

    • Learning artificial intelligence may be right for you if you plan on becoming an AI developer, machine learning engineer, data scientist, or research engineer or if you want your company to become better at using AI. In addition, learning AI may be beneficial if you are in the medical field, which AI is transforming when it comes to diagnosing, treating, and predicting outcomes. Learning AI may benefit you if you want to understand what AI realistically can and can't do and if you want to be able to spot opportunities to apply AI to your organization’s problems and know how to navigate the ethics of machine learning, along with other dimensions of AI.‎

    Se puso a disposición este contenido de preguntas frecuentes solo con fines informativos. Se les pide a los estudiantes que realicen investigaciones adicionales para asegurarse de que los cursos y otras credenciales cumplan con sus objetivos personales, profesionales y financieros.
    Otros temas para explorar
    Placeholder
    Artes y Humanidades
    338 cursos
    Placeholder
    Negocios
    1095 cursos
    Placeholder
    Ciencias de la Computación
    668 cursos
    Placeholder
    Ciencia de Datos
    425 cursos
    Placeholder
    Tecnología de información
    145 cursos
    Placeholder
    Salud
    471 cursos
    Placeholder
    Matemáticas y Lógica
    70 cursos
    Placeholder
    Desarrollo Personal
    137 cursos
    Placeholder
    Ciencias Físicas e Ingeniería
    413 cursos
    Placeholder
    Ciencias sociales
    401 cursos
    Placeholder
    Aprendizaje de un idioma
    150 cursos

    Coursera Footer

    Comienza o impulsa tu carrera profesional

    • Analista de datos de Google
    • Gestión de proyectos de Google
    • Diseño de experiencia del usuario (UX) de Google
    • Soporte de TI de Google
    • Ciencia de datos de IBM
    • Analista en datos de IBM
    • Análisis de datos de IBM con Excel y R
    • Analista de ciberseguridad de IBM
    • Ingeniería de Datos de IBM
    • Desarrollador de la nube de pila completa de IBM
    • Marketing en redes sociales: Facebook
    • Analítica del marketing de Facebook
    • Representante de desarrollo de ventas de Salesforce
    • Operaciones de venta de Salesforce
    • Contabilidad en Intuit
    • Prepárate para una certificación en Google Cloud: arquitecto de la nube
    • Prepárate para una certificación en Google Cloud: ingeniero de datos de la nube
    • Lanza tu carrera profesional
    • Prepárate para una certificación
    • Avanza en tu carrera

    Buscar temas populares

    • cursos gratuitos
    • Aprende un idioma
    • python
    • Java
    • diseño web
    • SQL
    • Cursos gratis
    • Microsoft Excel
    • Administración de proyectos
    • seguridad cibernética
    • Recursos Humanos
    • Cursos gratis en Ciencia de los Datos
    • hablar inglés
    • Redacción de contenidos
    • Desarrollo web de pila completa
    • Inteligencia artificial
    • Programación C
    • Aptitudes de comunicación
    • Cadena de bloques
    • Ver todos los cursos

    Cursos y artículos populares

    • Habilidades para equipos de ciencia de datos
    • Toma de decisiones basada en datos
    • Habilidades de ingeniería de software
    • Habilidades sociales para equipos de ingeniería
    • Habilidades para administración
    • Habilidades en marketing
    • Habilidades para equipos de ventas
    • Habilidades para gerentes de productos
    • Habilidades para finanzas
    • Cursos populares de Ciencia de los Datos en el Reino Unido
    • Beliebte Technologiekurse in Deutschland
    • Certificaciones populares en Seguridad Cibernética
    • Certificaciones populares en TI
    • Certificaciones populares en SQL
    • Guía profesional de gerente de Marketing
    • Guía profesional de gerente de proyectos
    • Habilidades en programación Python
    • Guía profesional de desarrollador web
    • Habilidades como analista de datos
    • Habilidades para diseñadores de experiencia del usuario

    Obtén un título de grado o un certificado en línea

    • MasterTrack® Certificates
    • Certificados profesionales
    • Certificados universitarios
    • MBA y títulos de grado en negocios
    • Títulos de grado en ciencias de los datos
    • Títulos en ciencias informáticas
    • Títulos de grado en Análisis de datos
    • Títulos de grado en salud pública
    • Títulos de grado en Ciencias Sociales
    • Títulos de grado en administración
    • Títulos de grado de las principales universidades europeas
    • Maestrías
    • Licenciaturas
    • Títulos de grado con trayectoria de desempeño
    • Cursos BSc
    • ¿Qué es una licenciatura?
    • ¿Cuánto tiempo dura una Maestría?
    • ¿Vale la pena hacer una MBA en línea?
    • Siete maneras de pagar la escuela de posgrado
    • Ver todos los certificados

    Coursera

    • Acerca de
    • Qué ofrecemos
    • Liderazgo
    • Empleo
    • Catálogo
    • Coursera Plus
    • Certificados profesionales
    • MasterTrack® Certificates
    • Título de grados
    • Para Empresas
    • Para gobiernos
    • Para el campus
    • Conviértete en socio
    • En respuesta al Coronavirus

    Comunidad

    • Estudiantes
    • Socios
    • Desarrolladores
    • Probador beta
    • Traductores
    • Blog
    • Blog de Tecnología
    • Centro de enseñanza

    Más

    • Prensa
    • Inversores
    • Términos
    • Privacidad
    • Ayuda
    • Accesibilidad
    • Contacto
    • Artículos
    • Directorio
    • Afiliados
    • Declaración de Esclavitud Moderna
    Aprende en cualquier lado
    Descargar en la App StoreConsíguelo en Google Play
    Placeholder
    © 2022 Coursera Inc. Todos los derechos reservados.
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder