En este curso aprenderá cómo comenzar rápida y fácilmente con la Inteligencia Artificial utilizando IBM Watson. Comprenderá cómo funciona Watson, se familiarizará con sus casos de uso y ejemplos de clientes de la vida real, y se le presentarán varios de los servicios de inteligencia artificial de Watson de IBM que permiten a cualquiera aplicar fácilmente la inteligencia artificial y crear aplicaciones inteligentes. También trabajará con varios servicios de Watson para demostrar la IA en acción.
Offered By
IBMAbout this Course
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Flexible deadlines
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Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Beginner Level
Approx. 26 hours to complete
Spanish
Subtitles: Spanish, Korean, English, German
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Beginner Level
Approx. 26 hours to complete
Spanish
Subtitles: Spanish, Korean, English, German
Offered by
IBM
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
Syllabus - What you will learn from this course
4 hours to complete
Conceptos básicos de Python
4 hours to complete
3 videos (Total 11 min), 2 readings, 5 quizzes
6 hours to complete
Estructuras de datos de Python
6 hours to complete
3 videos (Total 16 min)
6 hours to complete
Fundamentos de programación de Python
6 hours to complete
4 videos (Total 41 min)
9 hours to complete
Trabajando con datos en Python
9 hours to complete
8 videos (Total 42 min), 2 readings, 11 quizzes
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