Acerca de este Certificado profesional
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Cursos 100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Cronograma flexible

Establece y mantén fechas de entrega flexibles.

Nivel principiante

Aprox. 3 meses para completar

Sugerido 12 horas/semana

Inglés (English)

Subtítulos: Inglés (English), Coreano, Alemán (German)

Habilidades que obtendrás

Deep LearningArtificial Intelligence (AI)Machine LearningwatsonTensorflow

Cursos 100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Cronograma flexible

Establece y mantén fechas de entrega flexibles.

Nivel principiante

Aprox. 3 meses para completar

Sugerido 12 horas/semana

Inglés (English)

Subtítulos: Inglés (English), Coreano, Alemán (German)

¿Qué es un certificado profesional?

Desarrolla las habilidades necesarias para completar el trabajo

Ya sea que desees comenzar una nueva carrera o cambiar tu carrera actual, los certificados profesionales de Coursera te ayudan a prepararte para el puesto. Aprende a tu propio ritmo, en el momento y el lugar que te resulten más cómodos. Inscríbete hoy mismo y descubre una nueva carrera con una prueba gratuita de 7 días. Puedes pausar tus clases o finalizar la suscripción en cualquier momento.

Proyectos prácticos

Aplica tus habilidades en proyectos prácticos y desarrolla una cartera que demuestre tu preparación para los trabajos a los posibles empleadores. Deberás terminar los proyectos correctamente para obtener tu certificado.

Obtén una credencial profesional

Cuando completas todos los cursos del programa, obtienes un certificado que puedes compartir con tu red profesional, así como acceso a los recursos de apoyo profesional que te ayudarán a comenzar tu nueva carrera. Muchos certificados profesionales tienen socios interesados en contratar personal que reconocen la credencial del certificado profesional, y otros pueden ayudarte en tu preparación para el examen de un certificado. Puedes ver más información en las páginas del certificado profesional particular en donde aplica.

how it works

Hay 12 cursos en este Certificado profesional


Introduction to Artificial Intelligence (AI)

445 calificaciones
95 revisiones

Getting Started with AI using IBM Watson

140 calificaciones
22 revisiones

Building AI Powered Chatbots Without Programming

310 calificaciones
78 revisiones

Python for Data Science and AI

7,122 calificaciones
957 revisiones



Joseph Santarcangelo

Ph.D., Data Scientist at IBM
IBM Developer Skills Network

Yi Leng Yao

MSc., Data Scientist, Software Engineer
IBM Skills Network

Alex Aklson

Ph.D., Data Scientist
IBM Developer Skills Network

Sacchit Chadha

Software Engineer @ IBM | Rising Computer Science Senior @ UWaterloo

Rav Ahuja

AI and Data Science Program Director


Ph.D., Sr. Data Scientist
IBM Developer Skills Network

Romeo Kienzler

Chief Data Scientist, Course Lead
IBM Watson IoT

Tanmay Bakshi

AI Evangelist & Watson Developer

Antonio Cangiano

Software Developer and Technical Evangelist
IBM Developer Skills Network

Acerca de IBM

IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame....

Preguntas Frecuentes

  • ¡Sí! Para empezar, haz clic en la tarjeta del curso que te interesa e inscríbete. Puedes inscribirte y completar el curso para obtener un certificado que puedes compartir o puedes acceder al curso como oyente para ver los materiales del curso de manera gratuita. Cuando te suscribes a un curso que forma parte de un Certificado, te suscribes automáticamente a todo el Certificado. Visita el panel del estudiante para realizar un seguimiento de tu progreso.

  • Este curso es completamente en línea, de modo que no necesitas ir a un aula en persona. Puedes acceder a tus lecciones, lecturas y tareas en cualquier momento y cualquier lugar a través de Internet o tu dispositivo móvil.

  • This Professional Certificate consists of 12 courses. Each course entails 6-12 hours of effort. If learning part-time (approx 4-6 hours per week), and completing each course within the recommended 4-6 weeks timeframe, this program can be completed within one year. However, if learninig full-time (approx 4 to 6 hours per day), the entire program can even be completed within 3 to 4 months.

  • No prior background in AI, computer science or programming is necessary. As a part of the program you will learn the Python programming language. High School level Mathematics is required for the second half of the certificate (i.e. for the Machine Learning and Deep Learning courses). Although not a strict requirement, knowledge of Calculus and entry level Linear Algebra is an asset for Deep Learning.

  • Many courses build upon skills learned in previous courses. Therefore it is highly recommended to take the courses in the suggested order.

  • At this stage university credit is not available for the courses in this Professional Certificate.

  • Upon completing this Professional Certificate, you will be able to:

    • Describe what is AI, its applications & use cases, and how its transforming our lives
    • Explain terms like Machine Learning (ML), Deep Learning (DL) and Neural Networks
    • Identify various Watson AI services from IBM and what they can be used for
    • Describe how AI-powered chatbot technology works and its applications
    • Create a customer support chatbot and add it to a website
    • Practice basics of Python programming language using Jupyter notebooks on IBM Cloud
    • Apply Python programming concepts for data science and AI
    • Utilize multiple Watson AI services and APIs together to build smart applications
    • Deploy speech enabled virtual assistants with domain intelligence to Facebook, etc.
    • Explain what computer vision is and its applications
    • Build and train custom image classifiers using Watson, Python and OpenCV
    • Create an interactive computer vision web application and deploy it on IBM Cloud
    • Explain ML algorithms including Classification, Regression, Clustering, and Dimensional Reduction
    • Implement Supervised and Unsupervised ML models using scipy and scikitlearn
    • Express how Apache Spark works and how to perform Machine Learning on Big Data
    • Deploy ML Algorithms and Pipelines on Apache Spark
    • Demonstrate an understanding of Deep Learning models such as autoencoders, restricted Boltzmann machines,  convolutional networks, recursive neural networks, and recurrent networks
    • Build deep learning models and neural networks using the Keras library
    • Utilize the PyTorch library for Deep Learning applications and build Deep Neural Networks
    • Explain foundational TensorFlow concepts like main functions, operations & execution pipelines
    • Apply deep learning using TensorFlow and perform backpropagation to tune the weights and biases
    • Determine what kind of deep learning method to use in which situation and build a deep learning model to solve a real problem
    • Demonstrate ability to present and communicate outcomes of deep learning projects
  • No specialized hardware and software is required to complete these courses. Learners only require a modern web browser (recent versions of Chrome or Firefox) to complete the courses. All hands-on labs and projects will be performed from web browsers using IBM Cloud based environments and Watson AI services, available at no charge to the learners.

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